Data Modeling Jobs in Pune

Job Title: Database Administrator Location: Pune About Anchanto At Anchanto, we are enabling simpler, faster, and scalable eCommerce operations through our innovative and intelligent SaaS platforms. Our mission is to transform the way businesses conduct eCommerce, making backend operations more efficient for companies of all sizes. With a headquarters in Singapore, a global product engineering center in Pune, India, and a strong local presence in the countries we serve, Anchanto continues to grow rapidly, serving over 300 customers worldwide. As part of our expanding engineering team, we are seeking an experienced Database Administrator (DBA) to help us manage, optimize, and scale our database infrastructure. If you re passionate about database solutions and eager to work with cutting-edge technology in a fast-growing product company, we want to hear from you! Role Overview As a Database Administrator, you will be responsible for developing, managing, and optimizing database solutions to support our growing eCommerce platforms. Your expertise will ensure the high performance, availability, and security of our databases, including MySQL, Postgres, and potentially NoSQL databases. You will work closely with development teams to understand their needs and provide optimal database solutions, from design to performance tuning and high-availability configurations. Key Responsibilities Develop and design database solutions: Define the database physical structure and functional capabilities, ensuring they align with system requirements and security protocols. Database performance management: Configure and manage AWS RDS services, monitor database health, troubleshoot issues, and take corrective action as needed. Troubleshoot and resolve database issues: Act quickly to resolve database outages, errors, or performance issues, including providing after-hours and weekend support when necessary. Proactively monitor DB performance: Set up and configure monitoring tools to help detect potential risks and performance bottlenecks before they impact operations. Optimize database performance: Recommend and implement strategies for hardware upgrades, query optimization, indexing improvements, and server configuration adjustments to boost performance. Collaborate with development teams: Work closely with engineers to understand their database needs and design the most efficient and scalable database solutions. Ensure high availability and disaster recovery: Configure databases for high availability, clustering, and cloud deployment to maintain uptime and data redundancy. Administer database best practices: Own the database backup, restore, and retrieval processes, ensuring that all procedures adhere to best practices and compliance standards. Learning and adopting new technologies: Stay up to date with database technologies, including MySQL, Postgres, and NoSQL databases, and apply knowledge to improve solutions across the platform. What You ll Bring At least 5 years of hands-on experience as a DBA, with strong expertise in database administration, including backup management, performance monitoring, and tuning. Experience with MySQL and/or Postgres: Strong command over these relational databases, including managing stored procedures, triggers, indexes, and optimizing SQL queries for performance. AWS RDS experience: Proficiency in configuring and managing AWS RDS services, with an understanding of cloud-based database management. Strong knowledge of database design: Excellent understanding of data modeling and database schema design, with hands-on expertise in optimizing DB architecture for scalability and performance. Proven expertise in database tuning and performance optimization: Demonstrated ability to troubleshoot and optimize database performance for high-volume transactional systems. Experience with NoSQL databases: Exposure to NoSQL technologies such as MongoDB or Cassandra is a plus, as you may be involved in integrating such systems in the future. Bonus: Experience with Data Warehouse or BI (Business Intelligence) systems is a plus. Bonus: Prior experience in building high-performance e-commerce software is highly desirable. Strong communication and collaboration skills: Ability to work cross-functionally with development, DevOps, and other teams to ensure database solutions meet the needs of the business. Innovative & Fast-Growing Company: Join a dynamic, fast-growing SaaS company that is revolutionizing eCommerce operations for businesses worldwide. Cutting-Edge Technology: Work with modern database technologies, cloud platforms, and AI-powered solutions in an agile and collaborative environment. Career Growth: At Anchanto, we prioritize learning and development, offering a strong career path for those passionate about technology and growth. Work-Life Balance: We believe in a healthy work-life balance and offer flexible working hours and a supportive environment. Global Impact: Your work will impact hundreds of businesses globally, enhancing the performance and efficiency of their eCommerce platforms. If you're an experienced DBA looking for an exciting new challenge with a fast-growing product company, Anchanto could be the perfect place for you. Apply now to join our team and contribute to the next generation of eCommerce technology!

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

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

Business Analyst Biocarbon Business Location: Pune Experience: 5 10 Years Function: Biocarbon Business Education: Bachelor s degree in Engineering Master s degree in Business Administration, Environmental Science, or a related field Job Summary: We are looking for a dynamic and analytical Business Analyst to support the growth of BiofuelCircle s Biocarbon Business. The role is central to improving platform engagement for internal and external stakeholders, enhancing user experience, and driving data-driven decisions for sustainable bioenergy solutions. The Business Analyst will work on market research, financial modeling, regulatory compliance, and cross-functional collaboration to support strategic business goals. Key Purpose of the Role: To enable smooth operational workflows, resolve user challenges, and support strategic initiatives by providing insights from data, market analysis, and project evaluation ultimately strengthening BiofuelCircle s impact on the biocarbon and sustainability ecosystem. Key Responsibilities: 1. Market & Competitive Analysis Research carbon markets, sustainability trends, and competitor strategies. Generate actionable insights for business development and strategic planning. 2. Data Analysis & Reporting Collect, analyze, and interpret data related to carbon credits, environmental projects, and financial metrics. Deliver meaningful reports and dashboards to support decision-making. 3. Stakeholder Collaboration Work closely with New Market Development, Supply Chain, Finance, and Project Management teams. Ensure alignment between project execution and overall business strategy. 4. Financial Modeling Build robust financial models and conduct sensitivity analyses for carbon offset and credit-based initiatives. Evaluate investment opportunities and project viability across multiple scenarios. 5. Regulatory Compliance Ensure all projects comply with relevant national and international carbon standards and certification protocols. 6. Technology & Innovation Support Contribute to digital innovation initiatives such as blockchain-based carbon tracking and AI-driven analytics. Ideal Candidate Profile: Professional Experience: Experience in carbon markets, sustainability, biocarbon, biomass, or nature-based solutions (NBS). Proven ability to build financial models and conduct scenario-based analysis. Core Competencies: Strong analytical and problem-solving capabilities. Excellent communication and stakeholder engagement skills. Exposure to industrial technologies and project development is an advantage. Travel Requirements: Minimal (as per project or stakeholder needs) Opportunity: This is a unique opportunity to work at the intersection of sustainability, innovation, and strategic business development. As a Business Analyst, you will contribute directly to shaping India s emerging biocarbon economy while working on impactful projects that promote circular growth and environmental compliance. Collaboration: This role requires regular interaction with teams in New Market Development, Supply Chain, Finance, and Project Management to ensure cohesive project outcomes and aligned business objectives. Qualification : Bachelors degree in Engineering and Masters degree in Business Administration, Environmental Science, or a related field

Senior ETL Engineer Location: Pune Role Overview: We are seeking a Senior ETL Engineer to design, develop, and optimize our end-to-end data infrastructure, including ETL pipelines, data lakes, and data warehouses. This role is instrumental in enabling reliable, scalable, and high-performance data operations while aligning with data governance best practices. You will be an integral part of a collaborative data team, working closely with Data Engineers, Architects, Analysts, Scientists, and other stakeholders to modernize and migrate our data systems to the cloud. Key Responsibilities: Convert SSIS stored procedures into Matillion mappings, and develop associated job schedules and audit frameworks. Design, build, and maintain efficient ETL pipelines to extract, transform, and load data from multiple sources into the data lake and data warehouse. Implement both full and incremental loads using SCD (Slowly Changing Dimensions) and CDC (Change Data Capture) methodologies for real-time and batch data processing. Develop and maintain robust error handling, job monitoring, and job audit mechanisms. Conduct data profiling, data cleansing, and root cause analysis to resolve data inconsistencies and improve data quality. Optimize data pipelines for performance, scalability, and data quality, using benchmarking and tuning techniques. Build dashboards or reports for ETL job monitoring, performance tracking, and system health checks. Support data governance practices, ensuring accuracy, availability, and security of production data. Contribute to cloud migration initiatives, transitioning data workloads from on-premise systems to modern cloud data platforms. Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 5+ years of experience as an ETL Engineer, Data Engineer, or in a similar data engineering role. Experience with cloud-based data platforms such as AWS, Azure, or GCP. Proficiency with data warehousing technologies like Snowflake, Redshift, Azure Synapse, or Databricks. Hands-on experience with ETL tools such as Matillion, SSIS, Informatica, AWS Glue, Azure Data Factory, StreamSets, STRiim, Oracle ODI, Coalesce, or Talend. Solid understanding of data modeling principles (E/R and Dimensional Modeling) and tools like ER/Studio or ERwin. Proficiency with SQL and programming/scripting languages such as Python, Scala, or Java. Experience with database tools such as Microsoft SSMS or Oracle Developer. Strong analytical, problem-solving, and data troubleshooting skills. Excellent communication and collaboration abilities. Ability to work efficiently in a fast-paced, agile, and dynamic environment. Qualification : Bachelor's degree in Computer Science, Engineering, 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.

Solution Architect Location: Pune Experience: 10+ Years Job Type: Full-Time Profile Summary A highly skilled and experienced Solution Architect with over a decade in the IT service industry, specializing in designing and delivering comprehensive technical solutions across diverse domains. Expert in leading complex projects and aligning technology with business goals, leveraging cutting-edge technologies such as AI, cloud computing, and software development. Proven success in collaborating with cross-functional teams to architect scalable, secure, and efficient solutions for clients across healthcare, finance, real estate, and e-commerce sectors. Key Expertise Solution Design & Architecture: Architecting end-to-end scalable, high-performance, and secure solutions aligned with business objectives. Software Development: Expertise in full-stack development with React (frontend) and Python Django (backend), delivering enterprise-grade applications. AI Integration: Implementing AI-driven solutions including Generative AI, machine learning, and predictive analytics to automate processes and enhance decision-making. Cloud Architecture: Designing and deploying cloud solutions on AWS, Azure, and Google Cloud, with deep experience in migration, infrastructure design, and DevOps. Data Management & Analytics: Leveraging data management platforms and real-time analytics for business intelligence and audience targeting. Security & Compliance: Ensuring data security and regulatory compliance (HIPAA, GDPR) in solution designs. Experience Highlights AI and Generative AI Solutions Led design and implementation of AI-powered models for content generation, predictive analytics, and real-time decision-making in healthcare and finance. Integrated AI functionalities into business applications to improve operational efficiency and user experience. Cloud Solutions Design Architected cloud infrastructures optimizing cost, security, and performance across AWS, Azure, and Google Cloud. Directed cloud migrations and implemented cloud-native services including serverless computing, container orchestration (Docker, Kubernetes), and CI/CD pipelines. Full-Stack Software Development Led teams building scalable web applications using React and Python Django. Designed microservices and REST APIs ensuring seamless integration and optimized security. Data Management & Analytics Delivered data management platforms for audience segmentation in AdTech and e-commerce. Developed real-time bidding and programmatic advertising systems integrating advanced analytics. Telemedicine & Healthcare Solutions Designed secure, compliant telemedicine platforms integrating EHR systems, ensuring HIPAA and GDPR adherence. Developed patient data management systems focusing on security and regulatory compliance. Technical Skills Languages: JavaScript, Python, HTML/CSS, SQL, TypeScript Frameworks: React, Node.js, Django, Flask AI/ML: TensorFlow, PyTorch, GPT models, Generative AI, Predictive Analytics Cloud Platforms: AWS, Azure, Google Cloud, Docker, Kubernetes Data Management: PostgreSQL, MySQL, MongoDB, Data Lakes, DMPs Security: SSL, Firewalls, IAM, Data Encryption, HIPAA, GDPR compliance DevOps: Jenkins, Git, Docker, Kubernetes, CI/CD Pipelines Soft Skills Strong leadership and collaboration with cross-functional teams. Strategic thinker balancing innovation with business objectives. Excellent client engagement and communication. Problem-solving under tight deadlines with innovative solutions. Certifications AWS Certified Solutions Architect Certified Kubernetes Administrator (CKA) Certified in Generative AI Applications Microsoft Certified: Azure Solutions Architect Expert

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.

Job Title: Senior Azure Data Engineer Experience: 8 - 10 years Location: Kharadi, Pune Role & Responsibilities Design, develop, and maintain scalable, high-performance data pipelines using Azure Data Services such as Azure Data Factory, Azure Databricks, and Azure Synapse Analytics. Build and optimize data models, ETL/ELT processes, and data integration workflows to support analytics and BI needs. Develop and manage data lakes, data warehouses, and real-time streaming solutions on Azure. Collaborate with data analysts, scientists, and software engineers to ensure smooth data integration and processing. Ensure data security, governance, and compliance following industry best practices and regulations. Monitor and troubleshoot data pipelines, focusing on performance and reliability enhancements. Automate data workflows and infrastructure using DevOps and CI/CD methodologies. Work closely with stakeholders to translate business requirements into robust data solutions. Required Skills & Qualifications 8-10 years of experience in data engineering, with at least 3 years focused on Azure data services. Strong expertise in Azure Data Factory (ADF), Azure Synapse Analytics, Azure Databricks, Azure Data Lake, and Azure SQL Database. Proficient in SQL, Python, or Scala for data processing and transformation. Experience with Big Data technologies like Spark, Delta Lake, and Parquet. Hands-on experience with ETL/ELT development and orchestration of data pipelines. Knowledge of Azure DevOps, CI/CD pipelines, and Infrastructure as Code tools (Terraform, ARM templates, Bicep). Familiarity with data governance, security best practices, and compliance frameworks. Experience with Power BI, Snowflake, or other BI/analytics tools is a plus.

Job Title: Senior AWS Data Engineer Experience: 5+ years Location: Kharadi, Pune Role & Responsibilities Design, develop, and optimize scalable data pipelines and ETL workflows using AWS services such as AWS Glue, Lambda, and Step Functions. Implement and maintain data lakes and data warehouses on AWS platforms including S3, Redshift, and Athena. Develop and manage both real-time and batch data processing solutions. Ensure data security, governance, and compliance following industry best practices. Collaborate with data scientists, analysts, and business stakeholders to deliver actionable, data-driven solutions. Optimize query performance and troubleshoot data issues proactively. Automate infrastructure deployment using Infrastructure as Code (IaC) tools like Terraform or CloudFormation. Implement monitoring, logging, and alerting frameworks using AWS CloudWatch, Prometheus, or equivalent tools. Mentor junior engineers and actively contribute to data engineering best practices and standards. Required Skills & Qualifications 5+ years of experience in data engineering, with at least 3 years focused on AWS cloud services. Strong hands-on experience with AWS services including Glue, Redshift, S3, Lambda, EMR, and Athena. Proficient in SQL, Python, and Spark for data processing and analytics. Experience designing and implementing ETL/ELT pipelines. Familiarity with DevOps practices, CI/CD pipelines, and automation tools such as Terraform, CloudFormation, and Jenkins. Deep understanding of data governance, security protocols, and compliance frameworks. Experience with real-time data streaming and processing technologies such as Kafka, Kinesis, or similar tools. Knowledge of database optimization techniques including indexing and partitioning.

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 of IIT Bombay. We specialize in helping startups build innovative products by leveraging the latest tools and technologies to solve real-world problems. Over the past 21 years, we've partnered with 180+ startups, primarily in the US, and have helped many achieve 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: What You ll Be Doing: As an ELT Developer, you will: Design, develop, and maintain ELT pipelines using GCP tools such as BigQuery, Dataflow, and Firestore. Optimize data pipelines for performance, scalability, and reliability. Transform raw data into structured formats that are ready for analytics and reporting. Integrate data from various sources into centralized repositories or operational systems. Collaborate with data engineers, analysts, and stakeholders to gather requirements and deliver solutions. Document ELT processes, workflows, and best practices. Monitor and manage ELT jobs to ensure timely data availability. Troubleshoot and resolve issues in data pipelines to maintain data integrity. To Succeed in This Role, You Should Have: Qualification: A Bachelor's degree in Computer Science, Information Technology, or a related field from a top-tier institute (IIT, NIT, BITS, etc.). Experience: At least 3 years of hands-on experience in ELT/ETL development on cloud platforms. Technical Skills: Expertise in GCP services like BigQuery, Firestore, Dataflow, and Pub/Sub. Proficiency in Python for scripting and automation. Strong understanding of data warehousing concepts and data modeling. Experience with SQL for data querying and transformation. Familiarity with NoSQL databases such as Firestore. Knowledge of Apache Beam for building scalable data processing pipelines. Soft Skills: Excellent problem-solving abilities, strong communication skills, and the ability to collaborate effectively with cross-functional teams. Bonus Points If You: Have experience with GCP Cloud Scheduler or other orchestration tools. Hold a Google Professional Data Engineer certification or a similar qualification. Have worked with CI/CD pipelines for deploying ELT workflows. What You ll Find at Talentica: Innovative Culture: We specialize in cutting-edge development, not maintenance work. Our clients come to us for our technological expertise and innovation. Endless Learning Opportunities: You'll have ample opportunities to grow, learn, and stay up to date with the latest trends in technology. Talented Peers: Work alongside talented individuals from India s top engineering colleges (IITs, NITs, and others). Work-Life Balance: We understand the importance of work-life balance and offer flexible schedules and remote work options. Great Culture: 82% of our employees recommend Talentica to their friends (according to Glassdoor). Join us, and you'll see why! Recognition & Rewards: We celebrate success and ensure that your contributions are recognized and appreciated. If you're excited to work with a team of talented professionals and take your career to the next level, we d love to hear from you. Ready to take the next step? Fill out the form below, and we'll be in touch soon! About Talentica Software: Talentica Software is a boutique software development company founded by industry veterans and alumni of IIT Bombay. We specialize in helping startups build innovative products by leveraging the latest tools and technologies to solve real-world problems. Over the past 21 years, we've partnered with 180+ startups, primarily in the US, and have helped many achieve 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: What You ll Be Doing: As an ELT Developer, you will: Design, develop, and maintain ELT pipelines using GCP tools such as BigQuery, Dataflow, and Firestore. Optimize data pipelines for performance, scalability, and reliability. Transform raw data into structured formats that are ready for analytics and reporting. Integrate data from various sources into centralized repositories or operational systems. Collaborate with data engineers, analysts, and stakeholders to gather requirements and deliver solutions. Document ELT processes, workflows, and best practices. Monitor and manage ELT jobs to ensure timely data availability. Troubleshoot and resolve issues in data pipelines to maintain data integrity. To Succeed in This Role, You Should Have: Qualification: A Bachelor's degree in Computer Science, Information Technology, or a related field from a top-tier institute (IIT, NIT, BITS, etc.). Experience: At least 3 years of hands-on experience in ELT/ETL development on cloud platforms. Technical Skills: Expertise in GCP services like BigQuery, Firestore, Dataflow, and Pub/Sub. Proficiency in Python for scripting and automation. Strong understanding of data warehousing concepts and data modeling. Experience with SQL for data querying and transformation. Familiarity with NoSQL databases such as Firestore. Knowledge of Apache Beam for building scalable data processing pipelines. Soft Skills: Excellent problem-solving abilities, strong communication skills, and the ability to collaborate effectively with cross-functional teams. Bonus Points If You: Have experience with GCP Cloud Scheduler or other orchestration tools. Hold a Google Professional Data Engineer certification or a similar qualification. Have worked with CI/CD pipelines for deploying ELT workflows. What You ll Find at Talentica: Innovative Culture: We specialize in cutting-edge development, not maintenance work. Our clients come to us for our technological expertise and innovation. Endless Learning Opportunities: You'll have ample opportunities to grow, learn, and stay up to date with the latest trends in technology. Talented Peers: Work along...

About Talentica Software: Talentica Software is a boutique software development company founded by industry veterans and alumni from IIT Bombay. We specialize in helping startups build cutting-edge products and thrive on leveraging the latest technologies to solve real-world problems. With over 21 years of experience, we have worked with 180+ startups, primarily in the US, leading to many 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 re looking for a Big Data Developer who is passionate about building intelligent, scalable solutions and eager to work with the latest technologies. If you're ready to drive the future of tech and collaborate on exciting projects with top-tier developers, we d love to have you join us. What You ll Be Doing: As a Big Data Developer, you will: Develop intelligent, scalable engineering solutions from scratch. Collaborate with customers to understand product vision and goals. Contribute to high-level and low-level product designs and roadmaps alongside a team of talented developers. Build products using cutting-edge technologies such as Python (Open-source tech stack), Kafka, Storm, Spark/Flask, Hadoop, Cassandra, MongoDB, and more. To Be Successful in This Role, You Should Have: Qualification: BE/BTech in any branch from IIT, NIT, BITS, VJTI, COEP, or other top institutes in India. Experience: 4-6 years of experience working with Python and Spark/Flask. Technical Skills: Strong knowledge of NoSQL databases (Cassandra, Aerospike, MongoDB). Experience with REST API frameworks (a plus). What You ll Find at Talentica: A Culture of Innovation: We focus on creating cutting-edge solutions, not maintaining old projects. Our clients come to us for our technological expertise. Endless Learning Opportunities: Continuously expand your skills and stay at the forefront of the latest advancements, building better, faster, and simpler products. Talented Peers: Work with talented professionals from India s top engineering colleges (IITs, NITs, and others). Work-Life Balance: We understand the importance of well-being and offer flexible schedules, including remote work options, to help you thrive both professionally and personally. A Great Culture: Our employees love working here! 82% of our team recommends Talentica to their friends (according to Glassdoor). At Talentica, we invite you to be part of a dynamic team that pushes boundaries and doesn t just follow trends. If you re ready to shape the future of the tech industry with us, we d love to hear from you. Qualification : BE/BTech in any branch from IIT, NIT, BITS, VJTI, COEP, or other top institutes in India.

About Talentica Software: Talentica Software is a boutique software development company founded by industry veterans and IIT Bombay alumni. We specialize in helping startups build innovative products by leveraging cutting-edge tools and technologies to solve real-world challenges. With over 21 years of experience, we ve worked with over 180 startups, primarily in the US, leading to numerous successful exits. In 2022, Talentica Software was recognized by Great Place to Work as one of India s Great Mid-Size Workplaces. What We re Looking For: We are seeking a Senior Python Big Data Developer to join our team. If you're passionate about building scalable solutions from scratch, enjoy collaborating with clients, and love working with the latest technologies, this is the perfect opportunity for you. We re looking for proactive problem-solvers who are eager to contribute to innovative projects and deliver impactful solutions. What You ll Be Doing: As a Senior Python Big Data Developer, your responsibilities will include: Developing Scalable Solutions: Design and implement intelligent, scalable engineering solutions from the ground up. Client Collaboration: Work closely with clients to understand their product vision, goals, and technical requirements. Product Design: Contribute to both high-level and low-level product designs while collaborating with a team of skilled developers. Innovative Product Development: Utilize cutting-edge open-source Python technologies such as Kafka, Storm, Spark/Flask, Hadoop, Cassandra, MongoDB, and more to build innovative products. To Be Successful in This Role, You Should Have: Qualifications: BE/BTech from top engineering institutes (IIT, NIT, BITS, VJTI, COEP, or other top 100 engineering colleges in India). Experience: 3.6-6 years of experience in Python and Spark/Flask. Tech Skills: Strong expertise in NoSQL databases (e.g., Cassandra, Aerospike, MongoDB). Familiarity with REST API frameworks is a plus. What You ll Find Here: A Culture of Innovation: We focus exclusively on cutting-edge development, working on projects that push the boundaries of technology. Our clients come to us for innovative solutions, not maintenance work. Endless Learning Opportunities: At Talentica, you ll continuously expand your skill set by exploring and applying the latest advancements in technology. Talented Peers: Work alongside top-tier engineers from India's premier institutions (IITs, NITs, and others), offering numerous opportunities for collaboration and learning. Work-Life Balance: We prioritize your well-being with flexible schedules and remote work options, helping you maintain a healthy work-life balance. A Great Culture: Our employees love working here! 82% of our team members recommend Talentica to their friends, according to Glassdoor. If you re eager to be part of a dynamic team that doesn t just follow trends but leads and innovates, Talentica is the place for you. Join us and help shape the future of the industry by working on impactful, high-tech projects. Qualification : BE/BTech from IIT, NIT, BITS, VJTI, COEP, or other top 100 engineering institutes in India.

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.

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.