Data Architecture Jobs in Pune

Product Manager L-1 Location: Pune | Job Type: Full-Time | Department: Product Development Eshopbox is looking for a passionate and dedicated Product Manager L-1 to help drive the development and success of our products. In this role, you'll be responsible for the entire product lifecycle, from concept through execution. You ll collaborate closely with engineering, design, sales, and marketing teams to deliver solutions that meet customer needs and drive business outcomes. Key Responsibilities Product Lifecycle Management: Oversee the entire product lifecycle, from writing specifications to collaborating with cross-functional teams (design, engineering, marketing) to launch key product features. Planning & Execution: Manage the planning, scoping, execution, and delivery of multiple product development projects. Technical Oversight: Ensure technical implementation aligns with the product requirements and overall vision. Defining Product Architecture: Define the architecture, modules, interfaces, and data systems needed to meet product requirements. Product Strategy & Metrics: Develop and execute a product strategy that aligns with business goals, using data analysis to inform product decisions. Prioritization & Decision Making: Balance customer experience, technical constraints, and business drivers to make informed trade-offs. User-Centric Design: Gain a deep understanding of user needs, problems, and desires to shape product development. Prototyping & Documentation: Create product design prototypes and develop user manuals, help guides, and other support content. Cross-functional Leadership: Lead and interact with cross-functional teams to ensure smooth product development and delivery. What You ll Need Organizational & People Skills: Strong project management capabilities and the ability to work effectively with diverse teams. Technical Background: 1+ years of experience in software or product management roles, with a focus on project/program management. Agile & Scrum: Experience working in Agile environments, particularly with scrum methodology. Industry Knowledge: Previous experience in the internet or e-commerce industry is a plus, with exposure to SaaS-based tools. Learning & Adaptability: Quick to learn new concepts and tools with a strong desire for continuous self-improvement. Communication & Teamwork: Excellent communication and collaboration skills to work across multiple teams and stakeholders.

Job Title: Java Architect Integration Engineering Location: Pune Team: Integration Engineering About Anchanto Anchanto is a global SaaS technology company that powers eCommerce automation and logistics solutions for enterprises and 3PLs. Our Integration Engineering team develops scalable, high-performance integrations connecting our products with marketplaces, ERPs, WMS, OMS, and other enterprise systems across the globe. We are looking for a seasoned Java Architect to lead the design, development, and delivery of our integration framework, guide engineering best practices, and define the technical vision for integrations that serve businesses worldwide. As a key driver of innovation, you will also champion the adoption of AI tools to enhance productivity, code quality, and development processes. The Role As a Java Architect Integration Engineering, you will: Define integration architecture standards, design patterns, and development best practices to ensure scalable and robust solutions. Lead the end-to-end design and development of integrations with a variety of internal and external systems, utilizing Spring Boot and modern Java frameworks. Collaborate closely with customers to understand their integration requirements, business processes, and objectives. Work with the solution team to document and finalize integration designs, architecture, and data mappings. Champion AI-driven development practices by integrating tools like Cursor AI and other AI-assisted coding solutions into the team s workflow. Partner with Product Management, Pre-Sales, and Implementation teams to translate business needs into actionable technical designs. Guide and mentor engineers, fostering a culture of technical excellence, innovation, and AI adoption within the integration team. Play a hands-on role in building Proof-of-Concepts (POCs), solving complex integration challenges, and driving mission-critical deliveries. Collaborate with leadership to define the roadmap for integration products and platform capabilities. Key Responsibilities Architect and oversee the implementation of integration solutions, leveraging Spring Boot, REST APIs, messaging systems, and event-driven architectures. Define and enforce integration design patterns (e.g., EAI, ESB, SOA, pub/sub, ETL) to ensure reusability, scalability, and maintainability. Lead technical discovery sessions with customers to understand integration requirements and create clear, actionable solution blueprints. Collaborate with internal solution architects, product managers, and customer success teams to ensure integration feasibility and alignment with business objectives. Introduce and evaluate AI-powered development tools, integrating solutions like Cursor AI, GitHub Copilot, and others into the engineering process to improve efficiency, code quality, and documentation. Promote a culture of AI-first problem solving in architecture design, code reviews, and automation within the team. Establish frameworks and automation to accelerate the onboarding of new integrations. Evaluate and recommend technologies, tools, and cloud services (primarily AWS) to optimize integration performance and scalability. Review solution designs and code to ensure adherence to architectural principles and coding standards. Support pre-sales activities with architecture diagrams, integration approaches, and technical feasibility assessments. Lead technical discussions with external partners, vendors, and enterprise customers to ensure alignment on integration strategies and solutions. Required Skills & Experience 15+ years of software development experience, with at least 3+ years as an Architect. Strong hands-on expertise in Java (Java 8+), Spring Boot, and microservices architecture. Solid understanding of integration patterns, enterprise architecture, and middleware solutions. Experience with REST APIs, messaging systems (Kafka, RabbitMQ), and data transformation (e.g., JSON, XML, CSV). Proficiency with AWS cloud services relevant to integration, such as API Gateway, Lambda, SQS/SNS, ECS, RDS, etc. Familiarity with CI/CD pipelines, Git workflows, branching/merging strategies, and code quality tools. Linux proficiency and experience with shell scripting. Experience building connectors/adapters for ERP, WMS, OMS, CRM, or eCommerce platforms is a plus. Exposure to integration tools such as TIBCO, Informatica, SnapLogic, WebMethods, or MuleSoft is advantageous. Strong problem-solving skills, with the ability to think out-of-the-box and adapt to evolving priorities. Excellent communication and leadership skills, with the ability to influence teams across functions. Bonus / Good to Have Experience in AI-assisted development, especially using tools like Cursor AI, GitHub Copilot, Tabnine, or similar. Familiarity with prompt engineering and integrating AI APIs (e.g., OpenAI, Anthropic) into developer tooling or backend services. Understanding of ML Ops principles and how AI models can be integrated into enterprise applications. A proven track record of evangelizing AI adoption in engineering teams to enhance productivity and foster innovation. Work on global integration projects for a leading SaaS platform serving top-tier retailers, brands, and logistics companies. Lead impactful projects utilizing cutting-edge Java, Spring Boot, AWS, and AI-driven development tools. Collaborate with a globally distributed product and engineering team in an innovation-driven environment. Contribute to the future of Anchanto s integration platform, shaping scalable and robust solutions for enterprises worldwide.

Principal AI Engineer - MLOps Location: Pune Overview Rapid7 is seeking a **Principal AI Engineer - MLOps** to drive the development and deployment of **scalable, production-grade AI/ML systems** in the field of cybersecurity. This role is within the **AI Center of Excellence team** and involves managing the **end-to-end design of ML production systems** from scoping and data requirements to continuous deployment and monitoring. You will play a pivotal role in mentoring junior engineers and shaping the **MLOps culture**. Key Technologies Used **Cloud/Infrastructure:** AWS (research environments, data hosting), **EKS** (Kubernetes), **Terraform** (Infrastructure as Code). **Modeling/Data:** **Python** (numpy, pandas, scikit-learn), Jupyter notebooks, Anomaly detection methods. Key Responsibilities End-to-End ML Production System Design: **Architect and manage the design and deployment** of ML systems from inception to production. Define project scopes, data requirements, modeling strategies, and **deployment pipelines** for AI/ML systems. Ensure **seamless integration** of models and AI components into the production environment, focusing on **scalability, reliability, and security**. Data Pipeline Management: **Develop and maintain data pipelines**, ensuring data consistency, integrity, and accessibility throughout the ML lifecycle. Oversee the data lifecycle, including **data preprocessing, feature engineering**, and storage. ML Guardrails & Monitoring: Implement **robust ML guardrails** to ensure model performance, fairness, and compliance. Manage the **monitoring and observability** of deployed models, ensuring timely and accurate tracking of model performance. Deployment & Service Monitoring: Develop and deploy accessible endpoints, including **web applications and REST APIs**, adhering to security best practices. Continuously monitor models and data to detect issues such as **drift, anomalies, or performance degradation**. Collaboration & Mentorship: Collaborate closely with engineering, data science, and product teams to ensure alignment on goals. **Mentor and guide junior engineers**, share knowledge, and promote best practices in MLOps. Agile Development & Iteration: Embrace **agile practices**, focusing on continuous iteration and solving complex challenges. Skills & Experience Core Technical Expertise **Extensive Software Engineering Experience:** 15+ years as a software engineer, with at least **3-5 years of expertise in MLOps** in AWS environments. **MLOps & DevOps:** Proven experience deploying **scalable AI/ML systems**, managing **CI/CD pipelines**, and utilizing cloud AI resources. Expertise with **Docker, Kubernetes, and cloud-based AI infrastructure management**. **Programming:** Strong proficiency in **Python** (Flask or FastAPI) and experience building APIs. Data & Modeling Skills Experience in designing **data pipelines** and performing **feature engineering**. Familiarity with **model risk management** strategies, including **concept drift monitoring** and hyperparameter tuning. Leadership & Communication Demonstrated ability to **collaborate across engineering, data science, and product teams**. Proven track record of **mentoring and guiding junior engineers**. Strong communication skills for conveying complex technical concepts and creating detailed system architecture documentation. Nice to Have Experience deploying resources that enable data scientists to fine-tune and experiment with **LLMs (Large Language Models)**. Understanding of AI/ML operational frameworks and associated challenges. Be a part of **cutting-edge AI/ML efforts** to strengthen cybersecurity. Mentor and grow the next generation of engineers in an inclusive, fast-paced environment. Tackle some of the most challenging security problems with a passionate and creative team.

Data Engineer BI Analytics & DWH Location: Pune About Calfus At Calfus, we develop cutting-edge AI agents and software products that enable businesses to unlock the full potential of AI transforming operations, boosting revenue, and driving innovation. From startups to global enterprises, our clients trust us to deliver engineering excellence. Our teams have built ERP and cloud solutions that integrate seamlessly with core business systems, streamlining manual processes and empowering teams to focus on high-impact work. As one of the fastest-growing companies in our sector, we thrive on collaboration, speed, and innovation. If you re driven by impact and love working in fast-paced environments, we want to hear from you. About the Role We re looking for a Data Engineer with 3 4 years of experience to join our Business Intelligence & Data Warehouse team. In this role, you'll be responsible for building robust data pipelines, designing scalable data models, and supporting analytics and reporting capabilities. You will work with modern tools like Azure Data Factory, Databricks, and Snowflake, and help deliver reliable, performant data infrastructure for internal and client-facing initiatives. What You ll Do ETL/ELT Development Build and maintain efficient ETL/ELT pipelines using Azure Data Factory, Databricks, or equivalent. Ingest and consolidate data from multiple sources into data warehouses or data lakes. Data Modeling & Warehousing Design and implement relational and dimensional models suited for business reporting. Work with databases such as Snowflake, Redshift, Postgres, or SQL Server. SQL & Database Engineering Write performant SQL queries, stored procedures, and scripts for data transformation. Implement complex joins and aggregations for analytical workloads. BI & Visualization Support Collaborate with business users to support reporting in Power BI or Tableau. Enable data-driven decisions through accessible and accurate data models. Performance & Data Quality Monitor pipeline jobs for failures, performance issues, and delays. Apply data validation checks to ensure the integrity and accuracy of data. Bachelor s degree in Computer Science, Data Engineering, Information Systems, or related field. 3 4 years of hands-on experience in data engineering, with strong skills in ETL/ELT, SQL, and data modeling. Experience with cloud platforms (Azure, AWS) and tools like: Azure Data Factory Databricks SQL Server, Postgres, Redshift, or Snowflake Basic understanding of Python for scripting and automation. Familiarity with file formats like JSON, Parquet, and CSV. Exposure to BI tools such as Tableau or Power BI (nice to have). Benefits @ Calfus Medical, group, and parental insurance Provident fund & gratuity Birthday leave and wellness support High-growth, high-impact environment Diversity & Inclusion Calfus is proud to be an Equal Opportunity Employer. We believe that diversity drives innovation, and we are committed to fostering an inclusive, supportive, and respectful environment for all. Qualification : Bachelors degree in Computer Science, Data Engineering, Information Systems, or related field

Data Engineering Lead BI Analytics & DWH Location: Pune About Calfus At Calfus, we build groundbreaking AI agents and enterprise software that are redefining what s possible for businesses. Whether it's automating workflows, integrating ERP systems, or deploying AI-powered solutions, we help companies scale smarter and faster. Our engineering and data teams are at the core of this innovation designing and delivering high-performance solutions that unlock massive business value. As we grow rapidly, we re looking for driven individuals ready to make a meaningful impact. About the Role We re hiring a Data Engineering Lead to own and drive our BI Analytics & Data Warehousing strategy. You'll lead the architecture, development, and optimization of data pipelines, models, and interactive dashboards that power strategic insights across the business. You ll work hands-on with ETL tools, SQL, Power BI, Tableau, Python, and cloud platforms like Azure and AWS while mentoring junior engineers and collaborating with cross-functional stakeholders. What You ll Do Data Architecture & Modeling Design and implement scalable data models that support self-service BI and analytical reporting. Manage data modeling across structured, semi-structured, and cloud-native data sources. ETL/ELT & Integration Oversee ETL processes using SSIS, Airflow, or equivalent tools for seamless data movement. Handle complex data transformation using SQL Server, Postgres, Snowflake, and Redshift. Visualization & Reporting Develop and lead dashboard/report design using Power BI, Tableau, QuickSight, Plotly, or Dash. Drive best practices in dashboard performance, UX, and storytelling with data. Advanced Data Engineering Use Python, PySpark, NumPy, and Pandas for data wrangling and exploratory analysis. Work with Azure Databricks, MongoDB, and cloud storage (S3, Azure Blob) to build robust pipelines. Automation & DevOps Orchestrate pipelines using Apache Airflow, and implement CI/CD for data engineering workflows. Manage version control and code quality across projects using Git-based workflows. Stakeholder Collaboration Partner with business leaders and analysts to translate requirements into scalable data solutions. Align technical delivery with strategic business goals and drive cross-functional data initiatives. Leadership & Mentorship Guide and mentor junior team members across data and BI functions. Foster a culture of innovation, ownership, and continuous learning. What You Bring Bachelor s in Computer Science, Information Systems, Data Engineering, or related field. 6 12 years of experience in BI architecture, data engineering, and analytics. Deep expertise in: ETL tools: SSIS, Airflow Databases: SQL Server, Snowflake, Postgres, Redshift, MongoDB BI Tools: Power BI, Tableau, QuickSight, Plotly/Dash Python for data analysis, automation, and pipeline development Cloud Platforms: Azure, AWS (S3, Lambda, Databricks) Strong SQL and data modeling skills (relational and dimensional). Familiarity with CRISP-DM, data governance practices, and performance tuning. Bonus Points If You Have Experience working with Azure SDK. Ability to work with REST APIs and perform web scraping. BI architecture design and deployment at scale. Growth-driven culture with clear career paths. Work on industry-defining AI and enterprise products. Exposure to diverse clients, industries, and technologies. Strong focus on wellness, flexibility, and learning. Benefits Medical, group, and parental insurance Provident fund & gratuity Birthday leave & employee wellness programs Highly collaborative and innovative work environment Diversity & Inclusion Calfus is an Equal Opportunity Employer. We believe that diversity fuels innovation. We re committed to creating a welcoming and inclusive workplace for everyone regardless of race, gender, age, background, or identity. Lead the future of data at Calfus. Apply now and help power decision-making through scalable, smart, and stunning data engineering solutions. Qualification : Bachelors in Computer Science Information Systems, Data Engineering, or related field

Job Title: Team Member MDM Cell (Master Data Management) Experience Required: 3 to 5 Years Location: Pune Job Description We are seeking a skilled and detail-oriented professional to join our Master Data Management (MDM) Cell. The ideal candidate will be responsible for maintaining and improving the quality of master data, driving data governance, and supporting business operations through effective data management practices. Key Responsibilities Data Analysis & Optimization: Analyze master data and data sources to identify patterns, trends, and anomalies that can enhance operational efficiency and support data-driven decision-making. Data Audits: Conduct periodic audits of existing master data rules and ensure data integrity, accuracy, and consistency. MDM Best Practices: Provide guidance and expertise on MDM standards and best practices, helping implement robust data management frameworks across the organization. Project Coordination: Plan, coordinate, and execute MDM-related projects, ensuring they are delivered on time, within scope, and aligned with business objectives. Data Quality Improvement: Monitor and improve master data quality metrics, and reduce redundancy and discrepancies in systems and databases. Stakeholder Collaboration: Work closely with business stakeholders to gather data requirements and deliver a 360-degree view of enterprise data through tailored MDM solutions. Qualifications MBA, MCA, BCA, or a related degree 3 5 years of experience in Master Data Management or related domains Strong analytical and problem-solving skills Familiarity with data governance, quality metrics, and audit processes Ability to communicate effectively with technical and non-technical stakeholders Qualification : MBA, MCA, BCA, or a related degree

Position: Senior Data Engineer Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on leveraging data science and analytics to transform the construction industry. Our Data Science and Analytics team is a close-knit group dedicated to supporting the business with robust data infrastructure and insightful analysis. Role Overview We are seeking a highly experienced Senior Data Engineer to lead the design, development, and maintenance of scalable data pipelines and infrastructure. This role involves working closely with cross-functional teams to manage diverse data sources, ensure data integrity, and support data-driven business initiatives. Key Responsibilities Lead the design and development of scalable, high-performance data pipelines and ETL/ELT frameworks following modern data engineering best practices. Architect complex data integration workflows that unify structured, semi-structured, and unstructured data from cloud and on-premise sources. Develop robust real-time, batch, and on-demand data pipelines equipped with monitoring, alerting, and automated error handling. Collaborate with analysts, data scientists, and business leaders to create reliable data models, quality frameworks, and SLAs. Ensure optimal pipeline performance, throughput, and proactive issue resolution. Work with platform, DevOps, and architecture teams to build secure, reusable, and CI/CD-enabled data workflows aligned with enterprise standards. Enforce best practices in source control, code reviews, testing automation, and continuous delivery. Lead root cause analysis and preventive maintenance to minimize business impact from data failures. Establish standards for data modeling, transformation logic, and governance. Design and execute comprehensive testing strategies to ensure data reliability and pipeline resilience. Optimize pipeline and query performance for scalability, reliability, and cost-efficiency. Maintain detailed technical documentation including architecture diagrams, process flows, and integration specs. Facilitate discussions with business and operational teams to prioritize data initiatives and drive strategy. Qualifications 7-10 years of hands-on experience in data engineering with a track record of building scalable and secure data platforms. 5+ years of scripting experience in Python for data processing, automation, and ETL development. 4+ years experience with Snowflake, including performance tuning, security, and advanced SQL. 5+ years experience with data integration tools like Azure Data Factory, Fivetran, or Matillion. 5+ years writing complex, optimized SQL queries on large datasets. Proven experience integrating APIs, JSON, XML, and webhooks for data acquisition. Hands-on experience with cloud platforms (Azure/AWS) and orchestration tools such as Apache Airflow. Experience with CI/CD pipelines, automated testing, and code versioning tools (e.g., Git). Familiarity with dbt or similar transformation tools and modular development practices. Experience with data visualization tools like Power BI is a plus. Strong interpersonal and communication skills to lead cross-functional technical discussions. Education Bachelor s or Master s degree in Computer Science, Information Technology, or a related field. Equivalent academic and professional experience will also be considered. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related field

Tableau Architect Location: Pune Role Overview: We are looking for an experienced Tableau Architect to lead the design, development, and optimization of scalable data visualization solutions. The ideal candidate will bring deep expertise in Tableau, strong data architecture skills, and a passion for mentoring and guiding teams. You will play a pivotal role in delivering impactful analytics and ensuring best practices are followed across the organization. Key Responsibilities: Lead and mentor junior Tableau developers and analysts in Pune, fostering skill development and enforcing adherence to data visualization best practices. Architect, design, and implement scalable, high-performing Tableau dashboards and data models to support business analytics needs. Optimize Tableau environments to ensure efficient performance with large datasets and complex visualizations. Guide and support data integration efforts from diverse data sources into Tableau, ensuring data consistency and reliability. Conduct training sessions, hands-on workshops, and provide one-on-one mentorship to upskill team members. Collaborate with cross-functional teams including data engineers, business analysts, and IT to align on data and reporting requirements. Troubleshoot and resolve technical issues related to Tableau workbooks, data connections, and server performance. Create and maintain clear, user-friendly documentation for internal and external stakeholders, including architecture diagrams, user guides, and training materials. Technical Skills: Advanced proficiency in Tableau Desktop, Tableau Prep, and Tableau Server. Strong background in data modeling, ETL processes, and data architecture. Expertise in SQL and experience working with relational databases (e.g., SQL Server, Oracle). Hands-on experience in data integration from multiple sources and ensuring data quality. Proven ability to optimize dashboard performance for speed and responsiveness with large-scale datasets. Familiarity with cloud platforms such as AWS or Azure for data storage and analytics. Soft Skills & Additional Requirements: Experience in training and mentoring junior analysts, with a focus on building local talent in Pune. Excellent communication skills, especially when working with distributed and cross-functional teams. Strong problem-solving abilities to diagnose data and performance issues effectively. Commitment to producing high-quality documentation and reusable templates.

Job Title: Staff Data / Machine Learning Engineer Company: Druva Location: Pune, Maharashtra, India About Druva: Druva, the autonomous data security company, delivers data protection on autopilot through a 100% SaaS, fully managed platform that secures and recovers data from all threats. The Druva Data Security Cloud guarantees data availability, confidentiality, and integrity providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. Trusted by over 6,000 customers worldwide including 65 of the Fortune 500 Druva safeguards business-critical data in today s connected world. Backed by over $350M in venture capital, Druva protects more than 200 PB of data globally and offers a $10 million Data Resiliency Guarantee against cyber threats. The Role & Team: Join Druva s Business Intelligence team, where data drives key insights and fuels operational and strategic decisions. As a Staff Data/Analytics/ML Engineer, you will lead the development of data-to-insights recommendation engines and drive collaboration across teams to deliver impactful, data-driven solutions. This is a high-impact role working alongside expert engineers and product leaders, leveraging industry-leading data platforms and tools. What You ll Do: Bridge the gap between data engineering, analytics, and machine learning to unlock actionable business insights. Collaborate cross-functionally with Product, Engineering, GTM, and Customer Success teams to build data-driven solutions that enhance decision-making and business outcomes. Design, build, and maintain scalable data pipelines and infrastructure supporting analytics, machine learning, and operational workflows. Develop and optimize data models for efficient analytics and reporting across large datasets. Lead feature engineering, model training, and deployment pipelines for real-time and batch ML/AI applications. Drive architectural improvements in data governance, observability, and platform scalability. Evaluate and implement cutting-edge data tools and platforms including Reverse ETL, MLOps, and DataOps frameworks. Mentor and guide data engineers, analysts, and ML practitioners, fostering technical excellence and collaboration. Translate complex business requirements into technical deliverables, prioritizing initiatives that maximize impact. What We Are Looking For: Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 7+ years experience spanning data engineering, analytics engineering, and machine learning with a strong technical foundation in all three areas. Expertise in modern data stacks: Snowflake, dbt, Airflow, Spark, and cloud platforms (AWS, GCP, Azure). Proficiency with BI and analytics tools such as Looker, Sigma, Tableau, Power BI, or equivalents. Strong skills in SQL, Python, and distributed data processing frameworks (Spark, Dask, etc.). Experience designing and maintaining data pipelines, ETL/ELT workflows, and data transformations for analytics and ML use cases. Familiarity with ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps lifecycle management. Deep knowledge of data modeling, architecture, and governance best practices. Proven problem-solver who thrives in ambiguity and designs robust data solutions. Experience working in Agile environments with strong prioritization and collaboration skills. Excellent communication skills, capable of simplifying complex technical topics for non-technical stakeholders. Bonus Points For: Experience with Generative AI, LLMs, and integrating AI into business workflows. Knowledge of streaming architectures (Kafka, Kinesis, Pub/Sub) and real-time analytics. Familiarity with Data Contracts, Data Quality frameworks, or Data Mesh architectures. Experience with Reverse ETL tools such as Salesforce, Census, Hightouch, or Segment for operational analytics. If you re passionate about driving data innovation at scale and want to work in a dynamic environment protecting the world s critical data, Druva invites you to join our team! Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, Statistics, or a related field.

Job Title: Data Architect Cloud, Big Data & Scalable Data Engineering Location: Pune, India Experience Level: 7+ Years Job Type: Full-Time | On-site / Hybrid (Specify your policy) Job Summary We are seeking a visionary Data Architect based in Pune to lead our data engineering practice within product engineering services. This strategic role involves shaping the organization's data architecture, defining best practices for data lakes and data warehouses, and guiding architectural decisions across data engineering initiatives. If you're passionate about building cloud-based, future-ready data platforms using tools like Databricks, Snowflake, AWS, Azure, and Google BigQuery, this is your opportunity to make a significant impact. Key Responsibilities Design and implement enterprise-wide data architecture strategies, including data modeling, data governance, and integration frameworks. Lead the development of scalable data lakes, data warehouses, and data marts, especially using Databricks and medallion architecture. Build and optimize robust ETL/ELT data pipelines and real-time streaming solutions. Collaborate with security teams to implement strong data security and compliance practices, including GDPR and CCPA regulations. Standardize data governance policies and drive data quality across platforms and business units. Work closely with data engineers to implement high-performance cloud-native storage solutions using Azure ADLS Gen2, AWS S3, etc. Evaluate and introduce innovative data platforms, tools, and frameworks to enhance engineering capabilities. Provide technical leadership and mentorship to engineering teams across all data initiatives. Translate business data needs into technical architectures and create detailed documentation (e.g., ERDs, data flow diagrams, integration maps). Required Qualifications Bachelor s or Master s degree in Computer Science, Information Systems, or a related field. 7+ years of experience in data architecture, data engineering, or enterprise data solutions. Strong command of data modeling techniques (e.g., dimensional, data vault). Experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). Hands-on expertise with Databricks, Snowflake, Amazon Redshift, or Google BigQuery. Knowledge of cloud platforms such as AWS, Azure, or GCP and their data ecosystems. Proficiency in SQL and at least one programming language (Python, Java, Scala). Familiarity with ETL/ELT tools, data pipeline orchestration (e.g., Airflow), and real-time streaming (e.g., Kafka, Flink). Solid understanding of data security, compliance, and data governance frameworks. Experience with Power BI, Tableau, or similar tools from an architectural standpoint. Preferred Qualifications Exposure to machine learning architectures and MLOps pipelines. Understanding of graph databases (e.g., Neo4j) and semantic data layers. Familiarity with data mesh, data fabric, and modern data management paradigms. Hands-on experience with real-time data streaming frameworks like Apache Flink, Kafka, or Spark Streaming. Be a key architect in shaping enterprise-wide data strategies and infrastructure. Collaborate with top-tier engineers and data scientists in India s growing tech hub. Access the latest cloud, AI, and big data tools and work on high-impact, global projects. Thrive in a culture that encourages innovation, ownership, and continuous learning. Qualification : Bachelors or Masters degree in Computer Science, Information Systems, or a related field.

Salesforce Developer Pune (Kalyani Nagar) Location: Pune Kalyani Nagar (Hybrid: 4 Days/Week) Experience: 4+ Years Start Date: Immediate Salary: Best in Industry Employment Type: Full-Time Education: Bachelor s Degree (Preferred in Computer Science or IT) About the Role: We are looking for an experienced and passionate Salesforce Developer to join our growing team in Pune. This role involves working on Salesforce Sales Cloud, Lightning Web Components (LWC), Apex, and a wide range of Salesforce CRM customization and integration projects. You will be responsible for delivering high-quality, scalable Salesforce solutions that meet business objectives. Key Responsibilities: Design, develop, and deploy custom Salesforce solutions using Apex, Visualforce, Lightning Web Components, and Salesforce APIs. Create and maintain technical design documents based on business requirements. Collaborate with cross-functional teams including architecture, platform engineering, implementation partners, and third-party vendors. Follow Salesforce development best practices for integration, code quality, and scalability. Ensure on-time delivery of tasks with high quality and adherence to coding standards. Develop and manage custom applications, workflows, triggers, flows, and process builders within Salesforce. Identify and recommend solutions to enhance business processes using Salesforce tools. Lead and support release management processes, including change management and code deployment. Continuously research new Salesforce features and capabilities to improve productivity. Required Skills & Qualifications: Minimum 4 years of hands-on experience as a Salesforce Developer. Strong knowledge of Salesforce architecture, APIs, and data models. Expertise in Apex classes, triggers, batch jobs, queueable Apex, and asynchronous processes. Proficiency in Visualforce, Lightning Components, and Lightning Web Components (LWC). Experience with Sales Cloud, Service Cloud, and Community Cloud. Familiarity with Salesforce data tools like Apex Data Loader and third-party integrations. Demonstrated experience in integrating Salesforce with external systems (real-time, batch, sync/async). Solid understanding of relational databases and enterprise integration patterns. Excellent communication skills and ability to interact effectively with both business users and technical teams. Strong analytical and problem-solving skills with keen attention to detail. Preferred Certifications: Salesforce Platform Developer I (PD1) Salesforce Platform Developer II (PD2) Salesforce Sales Cloud Consultant Join a fast-growing tech company with exciting Salesforce projects. Hybrid work environment in Pune (Kalyani Nagar). Work on cutting-edge Salesforce technologies and enterprise-level integrations. Opportunity to grow professionally in a collaborative and supportive environment. Apply Now to take your Salesforce career to the next level with us. Qualification : Bachelors Degree

Informatica Senior Developer (IDMC) Pune Location: Pune Experience: 5+ Years Start Date: Immediate Salary: Best in Industry Qualification: Bachelor s / Master s Degree in Computer Science, IT, or a related field Job Summary: We are hiring a skilled and experienced Informatica Senior Developer specializing in IDMC (Informatica Intelligent Data Management Cloud) for our Pune location. The role involves leading the design and development of scalable MDM solutions, ensuring data governance, and optimizing cloud data integrations across enterprise systems. If you're looking to lead next-gen data initiatives using cloud-native technologies, this is the role for you. Key Responsibilities: MDM Architecture & Solution Design: Design scalable and secure Informatica MDM solutions on IDMC. Define enterprise-wide data governance, data modeling, and metadata frameworks. IDMC Implementation Leadership: Lead end-to-end MDM project lifecycles including development, testing, deployment, and optimization. Ensure high-quality and business-aligned IDMC solutions. Cloud Data Integration: Integrate MDM with cloud and enterprise systems using Cloud Data Integration and Cloud Application Integration. Tune data flows for maximum performance and availability. Data Governance & Compliance: Implement data security, compliance (GDPR, CCPA), and quality rules using IDMC features. Ensure consistent and accurate data across business domains. Leadership & Mentorship: Mentor junior developers and guide them through complex workflows in IDMC. Establish best practices and coding standards within the team. Cross-Team Collaboration: Partner with business analysts, data architects, and stakeholders to align MDM initiatives with enterprise goals. Troubleshooting & Continuous Improvement: Lead resolution of technical issues in production and development environments. Continuously optimize MDM workflows for better performance and efficiency. Documentation & Reporting: Maintain clear and comprehensive documentation on architecture, configurations, and workflow processes. Provide regular project status updates to leadership and stakeholders. Key Requirements: Experience & Expertise: 5+ years of hands-on experience with Informatica MDM and IDMC. Proven experience designing and deploying cloud-native MDM solutions. In-depth knowledge of Cloud Data Integration, Cloud Application Integration, and Cloud Data Quality. Technical Skills: Strong command over SQL, Java, RESTful APIs, and web services. Experience with cloud-native data architecture, governance, and data security on IDMC. Familiarity with Azure, AWS, or Google Cloud is a plus. Work in a leading-edge cloud data engineering team based in Pune. Shape the data landscape of global enterprises through MDM excellence. Enjoy a collaborative culture, flexible working environment, and top-tier compensation. Apply Now to join as an Informatica Senior Developer (IDMC) and lead transformative data initiatives from our Pune office! Qualification : Bachelors / Masters Degree in Computer Science, IT, or a related field

About Talentica Software: Talentica Software is a specialized software development firm founded by seasoned industry experts and alumni of IIT Bombay. We partner with startups to create innovative products, using cutting-edge technologies to address real-world challenges. With over 21 years of experience, we have collaborated with more than 180 startups, primarily in the U.S., contributing to many successful exits. In 2022, Talentica Software was honored as one of India s Great Mid-Size Workplaces by Great Place to Work. What We re Looking For: We are seeking a motivated Data Analyst to join our growing team. If you're passionate about working with SQL, BigQuery, Tableau, and MongoDB, and enjoy optimizing data ecosystems, we d love to hear from you! In this role, you will play a key part in managing and enhancing our data infrastructure, working across SQL (Oracle), BigQuery, Tableau, and NoSQL databases like MongoDB. You'll also help build our Lakehouse architecture and ensure data accuracy while supporting the scalability of our platform. Your Responsibilities: Develop, optimize, and maintain SQL queries to support efficient data delivery for Tableau reports. Write and refine complex queries for Oracle and BigQuery databases to meet business reporting needs. Utilize MongoDB to query semi-structured data for analytics and reporting. Collaborate with BI developers and analysts to streamline data workflows and enhance report accuracy. Design and manage ETL/ELT pipelines for smooth data ingestion and transformation. Work with cross-functional teams to identify and implement improvements in data workflows. Troubleshoot and resolve data issues as they arise. Contribute to the early-stage development of our Lakehouse architecture. Prepare existing data workflows for seamless integration with modern cloud platforms. Stay current with emerging data technologies and contribute to ongoing modernization efforts. Perform data validation and reconciliation to ensure consistency across multiple data sources. Collaborate with data analysts and business stakeholders to resolve data discrepancies. Support data quality assurance initiatives and establish best practices for data reliability. What You ll Need to Succeed: Qualifications: A BE/BTech in Computer Science, Data Engineering, or a related field from a prestigious institution (IIT, NIT, BITS, etc.). Experience: At least 5 years of experience in SQL development and managing data pipelines. Technical Skills: Advanced SQL skills, including performance tuning and query optimization. Strong understanding of ETL/ELT processes and experience with data transformation. Hands-on experience with relational databases (Oracle, BigQuery) and NoSQL (MongoDB). Proficiency in Python or other scripting languages for automation. Familiarity with cloud platforms (AWS, GCP, Azure) is a plus. Experience with BI tools like Tableau is highly desirable. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to manage multiple tasks independently in a fast-paced environment. What We Offer: Innovative Culture: We focus on cutting-edge development, not routine maintenance work. Our team thrives on staying ahead with the latest technologies. Continuous Learning: At Talentica, you ll find abundant opportunities to grow and keep up-to-date with the latest trends in technology. Brilliant Peers: Work alongside talented professionals from top engineering colleges (IITs, NITs, and more). Work-Life Balance: Enjoy flexibility with remote work options and adaptable schedules. Supportive Environment: 82% of our employees recommend Talentica to their peers (according to Glassdoor), thanks to our positive, collaborative work culture. Recognition & Rewards: Your hard work will be celebrated, with a culture that recognizes and appreciates your contributions. If you re excited about the prospect of working with a team of bright professionals and advancing your career, we d love to hear from you. Ready to make an impact? Apply today, and let s connect! Qualification : BE/BTech in Computer Science, Data Engineering, or a related field from a top-tier institution (IIT, NIT, BITS, etc.).

About Talentica Software: Talentica Software is a boutique software development company founded by industry veterans and alumni from IITB. For over 21 years, we have been helping startups build products using cutting-edge technologies. With a focus on solving real-world problems, we ve worked with over 180+ startups, primarily in the US, leading to numerous successful exits. In 2022, Great Place to Work recognized Talentica Software as one of India s Great Mid-Size Workplaces. What We re Looking For: We are seeking a Data Engineer to join the product engineering team for a SAAS-based Subscription Management Platform. If you have a passion for working with data and a drive to innovate, we encourage you to apply. What You ll Be Doing: Data Transformation: Use Python and PySpark to transform large datasets and build efficient data pipelines. Pipeline Creation: Work with Kafka and Debezium to create and deploy real-time data pipelines. SQL Expertise: Write and optimize complex SQL queries for data aggregation and transformation. Delta Lake & Databricks: Utilize Delta Lake and Databricks for efficient data storage and management. Collaboration: Work with cross-functional teams to ensure data is accessible, reliable, and well-organized for product teams. To Be Successful in This Role, You Should Have: Qualification: BE/BTech from a top-tier engineering institute. Experience: 5+ years of experience in the data engineering field. Must-Have Skills: Strong proficiency in Python and PySpark for data transformation. Experience with Kafka and Debezium for data pipeline creation and deployment. Excellent SQL skills, especially for complex data aggregation and transformation. Familiarity with Delta Lake and Databricks. A solid understanding of all stages of the SDLC and experience with Agile/SCRUM methodology. Good-to-Have Skills: Understanding of machine learning algorithms. Familiarity with ETL tools like Matillion or Google Data Studio. Experience with creating BI reports using tools like Looker or Tableau. Familiarity with writing APIs to extract data from databases. What You ll Find Here: Culture of Innovation: We focus on technology expertise and innovation, not maintenance projects. Our customers come to us for cutting-edge solutions. Endless Learning Opportunities: Stay ahead of the curve by exploring new advancements in your field and applying them to build better, faster, and simpler products. Talented Peers: Work alongside experienced graduates from India's top 20 engineering colleges, including IITs, NITs, and other top-tier institutes. Flexibility: We value work-life balance and offer flexible schedules, including remote work options. Great Culture: 82% of our employees recommend Talentica to their friends, according to Glassdoor. You'll love being part of our team! At Talentica, we don t just follow trends we lead them. If you re looking for a dynamic, fast-paced environment with opportunities to innovate, grow, and shape the future of technology, Talentica is the place for you. Join us and make a real difference! Qualification : BE/BTech from a top-tier engineering institute.

Data Engineer - Media & Advertising Sector - Job Description We are looking for an experienced Data Engineer to join our team and drive business outcomes in the media and advertising sector. In this role, you will leverage advanced data technologies to design and implement comprehensive data strategies that focus on scalability, performance optimization, and secure data management. Successful candidates will have hands-on experience with Big Data technologies and machine learning models, as well as a deep understanding of the advertising domain and its data needs. Technical and Professional Requirements: Big Data Technologies: Proficiency with platforms such as BigQuery, Big Data, Hadoop, and Snowflake for managing and processing large-scale datasets. Programming/Scripting Languages: Strong experience in programming languages like Python, Java, or Go for developing data solutions. Machine Learning Models: Hands-on experience defining and implementing various Machine Learning models to address diverse business requirements. Data Scalability & Performance: Practical experience in handling performance and data scalability challenges to ensure efficient data processing and storage. Advertising Domain Knowledge: Familiarity with advertising data and experience working with datasets such as Campaign Performance, Ad Performance, Attribution, and Audience Data. Job Responsibilities: Data Strategy Design: Develop a comprehensive data strategy that aligns with business objectives. This includes designing data models, establishing database development standards, and managing data warehouses and data analytics systems. Data Source Identification: Identify internal and external data sources and create a plan for managing these data sources according to the overall business data strategy. Cross-Functional Collaboration: Work with various teams (engineering, product, analytics, etc.) to ensure the smooth functioning of the enterprise data system, facilitating cross-departmental cooperation. End-to-End Data Architecture: Manage the end-to-end data architecture process, from selecting the platform and designing technical architecture to developing applications, and finally testing and implementing the solution. Big Data Solution Planning: Plan and execute big data solutions using technologies like BigQuery, Big Data, Hadoop, and Snowflake. Data Accessibility & Security: Integrate technical functionality that ensures data accessibility, accuracy, and security throughout the data lifecycle. Educational Requirements: Any Graduate with 60% and above in your academic background. This position is ideal for someone who is passionate about data engineering and eager to tackle complex challenges in the media and advertising sector. If you're looking to drive innovation, work with cutting-edge technologies, and collaborate across teams, we would love to hear from you! Qualification : Any Graduate with 60% and above in your academic background.

Minimum Qualifications: Bachelor s degree in Computer Science, a related technical field, or equivalent practical experience in cloud architecture engineering. 4 years of experience working with IT and mainframe technologies such as COBOL, PL/I, RPG, Assembler, JCL, VSAM files, CICS, DB2, IMS, etc. 4 years of experience in mainframe modernization. Hands-on experience with mainframe migration and modernization tools like Micro Focus, Astadia, mLogica, and experience in data migration from mainframes to modern databases. Preferred Qualifications: 4 years of experience in Java development, especially with the Spring Boot framework. Experience in leading and delivering multiple mainframe modernization projects using tools such as Micro Focus, mLogica, Astadia, Java, etc. Proven experience in leading the scoping, proposal development, and writing of Statements of Work (SOW) for mainframe modernization projects. Familiarity with DevOps practices, CI/CD pipelines, containerization, and cloud platforms. Knowledge of IT security best practices (e.g., encryption, certificates, key management). Experience with Cloud products such as Google Cloud Platform (GCP) or other similar cloud technologies. About the Role: As a Cloud Mainframe Modernization Consultant, you will guide customers through configuring, migrating, and deploying their mainframe systems to Google Cloud. In this role, you may travel to customer sites to deploy solutions and conduct workshops to educate and empower customers. You will also collaborate with product teams to drive the development of Google Cloud products and features. As part of Google Cloud, you will work with some of our most important customers, supporting their implementation of Google Cloud products. This includes providing architecture guidance, best practices, data migration assistance, capacity planning, implementation, troubleshooting, monitoring, and more. Google Cloud accelerates every organization s ability to digitally transform its business and industry. We provide enterprise-grade solutions leveraging Google s cutting-edge technology, tools that help developers build more sustainably, and trusted partnerships with customers in over 200 countries and territories, solving their most critical business problems. Responsibilities: Serve as a trusted technical advisor to customers, solving complex Cloud Mainframe migration challenges. Create and deliver best practices recommendations, tutorials, blog articles, sample code, and technical presentations tailored to various business and technical stakeholders. Utilize a range of modernization tools and products to modernize mainframe systems. Assist customers in designing migration architectures and estimating total operating costs. Lead the delivery of complex mainframe migration projects, providing technical governance, leading teams, and ensuring project success through teamwork and collaboration. Qualification : Bachelors degree in Computer Science, a related technical field, or equivalent practical experience in cloud architecture engineering.

Data Engineer IBM Consulting About the Role Join us at IBM Consulting in one of our Client Innovation Centers, where we deliver specialized technical and industry expertise to both public and private sector clients worldwide. Our centers bring local skills and technical capabilities to help clients drive innovation and adopt cutting-edge technologies. A career at IBM Consulting is built on fostering long-term relationships and collaborating closely with clients around the globe. You ll work with leaders across multiple industries to advance the hybrid cloud and AI journeys of some of the world s most innovative and influential companies. Your ability to create impactful change will be empowered by IBM's strategic partner ecosystem and our robust technology platforms, including IBM Software and Red Hat. At IBM, curiosity and a continual pursuit of knowledge form the cornerstone of success. In your role, you'll be encouraged to challenge norms, explore new ideas beyond your immediate responsibilities, and deliver innovative solutions that make a meaningful difference for clients. Our culture is rooted in growth and empathy, ensuring long-term career development in an environment that celebrates your unique skills and experiences. Your Role and Responsibilities As a Data Engineer at IBM, you ll unlock the power of data, revealing insightful stories and complex patterns. You ll contribute to data gathering, storage, and both batch and real-time processing, playing an essential role in defining data management systems and identifying key data for analysis. Your key responsibilities will include: Predictive Modeling: Implementing, validating, and maintaining statistical and predictive models, utilizing big data techniques along with various machine learning methodologies. Enterprise Search Applications: Designing and deploying enterprise search applications like Elasticsearch and Splunk to meet client-specific needs. Collaboration & Agile Practices: Working in an agile, team-oriented environment, collaborating with data scientists, engineers, consultants, and database administrators to bring statistical rigor to predictive behavior challenges. Data Integration & Cleansing: Developing teams or writing programs to efficiently cleanse and integrate data, build predictive models, and evaluate the results. Required Education Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field. Preferred Education Master's Degree in a relevant technical discipline. Required Technical and Professional Expertise 4+ years of experience in data modeling and data architecture. Proficiency in data modeling tools like ERwin, IBM Infosphere Data Architect, and experience with database management systems. Familiarity with various data models, including relational, dimensional, and NoSQL databases. Strong understanding of business processes and how data supports business decision-making. Expertise in database design principles, data warehousing concepts, and data governance practices. Preferred Technical and Professional Experience Exceptional analytical and problem-solving skills, with a sharp attention to detail. Ability to work collaboratively in a team-oriented environment and manage multiple projects simultaneously. Knowledge of SQL or similar programming languages. At IBM Consulting, we foster a culture of growth, innovation, and collaboration. As a Data Engineer, you ll have the opportunity to work with some of the brightest minds in the industry, all while impacting critical data-driven solutions for global clients. Join us and be a part of a diverse team committed to driving change and shaping the future of technology and analytics. Qualification : Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field.

Transform Healthcare with Data: Join Cencora as a Data Engineer II At Cencora, our team members are at the heart of everything we do. We are on a mission to create healthier futures, and every individual here plays a crucial role in fulfilling that purpose. We believe in making a difference at the intersection of healthcare, technology, and innovation. If you're ready to shape the future of health and help improve lives globally, Cencora is the place for you. We are looking for a Data Engineer II to join our dynamic team. This role is pivotal in delivering accurate and reliable data to support our Legal and Compliance departments, with a direct impact on driving data-driven decisions that improve operational efficiencies and support strategic business goals. What You ll Do: As a Data Engineer II, you will be responsible for transforming raw data into actionable insights and building solutions that enhance business operations. Your role will span across multiple platforms, using SQL, SAP BusinessObjects, and a variety of other tools, to ensure that our data remains accurate, accessible, and consistent. Enhance Analytics Solutions: Lead the design and implementation of enhancements to business analytics solutions that align with evolving business needs. You ll turn complex business challenges into accessible data access requirements. Data Mining & Analysis: Perform data mining on vast datasets to uncover growth opportunities in sales, margin, and market share. Analyze pricing activities, including discounts, allowances, programs, and contract pricing, to drive profitability. Data Quality Assurance: Validate, cleanse, and aggregate data, ensuring its accuracy and integrity. You ll identify and resolve data inaccuracies, improving the overall quality of enterprise data. Collaboration & Problem-Solving: Work cross-functionally with teams like Inside Sales, Finance, and Sourcing to develop performance forecasts, projections, and plans based on data assumptions and variables. Automated Solutions: Identify opportunities for automated solutions to enhance data quality and efficiency across the enterprise. Report Development: Collaborate with internal stakeholders to define reporting deliverables, ensuring that data is appropriately named, structured, and ready for decision-making. Data Integrity & Monitoring: Monitor and update data changes on a mass scale using tools, ensuring the highest level of data integrity is maintained. What You Bring to the Table: Experience: You have 4+ years of direct experience in healthcare data analytics or data engineering. You know your way around large datasets and understand how to unlock insights that drive business decisions. Technical Expertise: Proficient in SAP and BusinessObjects, with an extensive background in Business Intelligence and SQL. Strong understanding of the wholesale distribution process, including purchases, sales, payments, and supplier rebates. Knowledge of pharmaceutical wholesale processes and chargebacks to wholesalers is a plus. Familiar with data visualization tools like Power BI or Tableau. Analytical Mindset: You re a critical thinker with an eye for detail, always ready to dive into data to uncover trends, identify issues, and solve problems. Mentorship: You bring leadership experience, with a knack for mentoring and guiding team members. Communication Skills: Your ability to communicate complex data insights to non-technical stakeholders is top-notch. You can explain trends and patterns with clarity and confidence. Bonus Points: Familiarity with Microsoft Power BI, Tableau, or other data visualization tools. Experience with Big Data analysis tools and techniques. Background in data governance and data management. What You ll Get from Us: Meaningful Work: At Cencora, your work directly impacts the future of healthcare. Your expertise in data will help us make strategic, data-driven decisions that improve lives globally. Growth Opportunities: We invest in our team members' growth through mentorship, professional development, and the chance to shape the future of healthcare technology. Collaborative Environment: Work alongside innovative professionals in a culture that values diverse perspectives and fosters collaboration. Comprehensive Benefits: We offer a range of benefits designed to support you in every aspect of life health, wellness, work-life balance, and more. Join Cencora Today! If you re ready to leverage your data engineering expertise to drive meaningful change, we d love to hear from you! Apply now to become part of a purpose-driven company at the forefront of innovation in the healthcare sector. Cencora is committed to building a healthier future, and we want you on this journey with us.

Tech Lead Data Overview: As a Tech Lead Data, you will provide technical leadership to a team of experts, helping implement information-driven strategies and systems that support agricultural scientists in developing solutions for growers. You will manage end-to-end implementation of data environments beyond architectural design, ensuring that real-life data systems are developed and executed efficiently. You are a highly motivated problem solver with the ability to prioritize shifting workloads in a dynamic environment. You are an effective communicator and a confident leader passionate about making things happen within a fast-paced organization. Key Responsibilities: Lead the development of data and analytics capabilities within the R&D node of the enterprise data mesh, implementing architectural blueprints for various data platforms. Develop and implement an organizational data strategy aligned with business processes, including data model design, database development standards, and management of data warehouses and analytics systems. Identify and manage both internal and external data sources, creating a data management plan aligned with the organizational strategy. Collaborate with cross-functional teams, stakeholders, and vendors to ensure the smooth functioning of the enterprise data ecosystem. Guide the technical direction of data projects and initiatives, ensuring best practices in data engineering and analytics. Integrate technical functionality to ensure data accessibility, accuracy, and security. Perform continuous audits of data management systems and address performance issues, reporting breaches or vulnerabilities to stakeholders. Experience & Skills Required: 9+ years of experience in Big Data, data warehousing, data analytics, and/or Information Management projects. Proven experience building large-scale enterprise data architectures using both commercial and open-source Data Analytics technologies. Strong data modeling and architecture skills, including expertise in data warehousing, data normalization, and dimensional modeling (e.g., OLAP, data vault). Understanding of predictive modeling, Natural Language Processing (NLP), text analysis, and Machine Learning. Knowledge of security integration, including Kerberos authentication, SAML, data security, privacy techniques like data masking, and tokenization. Experience with DevOps engineering and Continuous Integration/Delivery tools. In-depth understanding of AWS Cloud solutions and integrating into legacy systems and COTS solutions. Familiarity with the following tools: Data Ingestion: Snaplogic, Glue, Lambda Storage: S3 Processing: Databricks DWH: Redshift, Databricks SQL Warehouse Databases: RDS Languages: Python (pyspark), SQL (sparksql), Java, R BI Tools: PowerBI, Dash, Spotfire, Qlik Catalog: Glue catalog, Unity Catalog Streaming: Kafka, EventHub AI/ML: MLOps, SageMaker Storage/Dataframe: S3, Deltalake, Iceberg, Parquet Qualifications: University bachelor s degree in Science, Technology, Engineering, or Mathematics (STEM). Fluency in English. Strong customer focus with excellent communication, teamwork, and negotiation skills. In-depth technical experience, ideally with AWS certification. Experience implementing data-first solutions. Experiences to be Gained: Continuous upskilling in the latest technologies, tools, and design practices. Exposure to R&D operations. Development of leadership and relationship-building skills with internal customers. Company Description: Syngenta Group is one of the world s leading sustainable agriculture innovation companies, with over 53,000 people in more than 100 countries. We strive to transform agriculture through tailor-made solutions for farmers, society, and the planet. We are committed to maintaining high standards of ethics, integrity, and creating an inclusive, discrimination-free workplace. Additional Information: Syngenta is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital status, veteran status, disability, or any other legally protected status. Qualification : University bachelors degree in Science, Technology, Engineering, or Mathematics (STEM).

Job Overview: We are seeking a passionate and driven Node.js Developer to join Verificient Solutions Pvt Ltd. In this role, you will be an integral part of the product development team, working on innovative products for online learning. The ideal candidate will have 3-5 years of experience in Node.js, and will be passionate about building scalable, high-performance backend systems. This is an excellent opportunity for individuals who are excited to contribute to a fast-growing product and continually learn new technologies. Key Responsibilities: Backend Development: Design, develop, and maintain scalable backend systems using Node.js to support our web and desktop applications. API Development: Build and integrate RESTful APIs, ensuring seamless communication between different application components. Database Management: Work with both SQL and NoSQL databases (e.g., MongoDB, MySQL) to manage data effectively. System Design: Create and optimize backend architecture for performance, scalability, and reliability. Collaboration: Work closely with front-end developers, UI/UX designers, and product managers to ensure the product aligns with organizational goals. End-to-End Development: Be involved in the full Software Development Life Cycle (SDLC), from requirement analysis to deployment and maintenance of the product. Code Quality: Follow best practices for code quality, testing, and documentation to ensure high-quality, maintainable code. Optimization: Continuously monitor and improve system performance and resolve any issues that arise in the backend. Required Skills & Expertise: Experience: 3-5 years of hands-on experience in Node.js development, including building and maintaining backend services and APIs. JavaScript Proficiency: Strong proficiency in JavaScript and ES6+ syntax. API Development: Extensive experience in designing and implementing REST APIs for both internal and external use. Database Knowledge: Solid experience with SQL (e.g., MySQL, PostgreSQL) and NoSQL (e.g., MongoDB) databases. Server-side Technologies: Understanding of Express.js and other Node.js frameworks. Version Control: Experience using Git for version control and collaborative development. OOP Principles: Familiarity with Object-Oriented Programming (OOP) concepts and applying them to development tasks. Education: A Bachelor's or Master's degree in Computer Science, Engineering, or a related field is preferred. Desirable Skills: Full Stack Development: Familiarity with front-end frameworks (e.g., React.js, Angular.js) and an understanding of full-stack development. Cloud Services: Experience working with cloud platforms like AWS or Azure is a plus. Testing: Familiarity with testing frameworks (e.g., Mocha, Jest) to write unit and integration tests. Agile Methodology: Experience working in Agile or SCRUM development environments. CI/CD Pipelines: Understanding of Continuous Integration and Continuous Deployment practices. What We re Looking For: Passion for Development: You are excited to build high-performance, scalable backend systems. Team Player: You work well in a collaborative environment, effectively communicating with cross-functional teams. Problem Solver: You love tackling complex backend challenges and finding efficient solutions. Continuous Learner: You are always eager to learn new technologies and stay updated with the latest trends in backend development. Innovative Projects: Work on cutting-edge products that are shaping the future of online learning. Collaborative Culture: Be part of a dynamic team that values collaboration and creative problem-solving. Growth Opportunities: We offer continuous learning and professional development to help you grow in your career. If you're a Node.js Developer looking to work on impactful projects and be part of a talented team, we d love to hear from you! Apply now to join Verificient Solutions Pvt Ltd and help us build next-generation online learning solutions. Qualification : A Bachelor's or Master's degree in Computer Science, Engineering, or a related field is preferred.