Senior Data Analytics Engineer Jobs in Pune

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 Title: Director Customer Services Location: Pune Experience: 12+ years Education: Bachelor's Degree / MBA (Preferably in IT or Business Strategy) Company: Accops Systems Pvt. Ltd. Accops empowers organizations with secure and seamless remote access, workspace virtualization, and Zero Trust-based IT infrastructure solutions. Role Overview: Accops is looking for a dynamic and strategic Director Customer Services to lead enterprise customer success initiatives. This role is pivotal in driving customer satisfaction, retention, and long-term value realization by aligning Accops' solutions with strategic customer goals. The ideal candidate will have deep experience in customer success, IT infrastructure, cybersecurity, or virtualization technologies, with a proven ability to engage C-level stakeholders and deliver measurable business outcomes. Key Responsibilities: Act as a strategic advisor to enterprise customers, identifying and aligning business use cases with Accops solutions across verticals like BFSI, Government, Healthcare, Manufacturing, and more Drive post-sales value delivery by tracking business KPIs and proactively engaging with customers to ensure alignment with success metrics Lead and deliver data-driven QBRs (Quarterly Business Reviews) to highlight ROI, ensure solution adoption, and identify upsell/cross-sell opportunities Guide customers through technical enablement, architecture discussions, roadmap alignment, and value realization Collaborate cross-functionally with Product, Sales, Professional Services, and Engineering teams to ensure customer needs and feedback influence product direction Own strategic customer portfolios, acting as the single point of contact for senior stakeholders Develop and deliver business cases, solution roadmaps, and tailored customer success plans Champion customer advocacy by identifying opportunities for case studies, testimonials, and speaking engagements Maintain accurate records of customer interactions, engagement milestones, feedback, and business impact Technical Skills & Requirements: 12+ years of experience in Customer Success, Strategic Account Management, or Solution Consulting in the tech domain Demonstrated success in aligning complex IT solutions with tangible business outcomes Strong presence and credibility to engage and influence C-level executives Deep understanding of digital transformation trends, enterprise IT challenges, and industry-specific requirements Strong grasp of technologies in VDI, Cybersecurity, Zero Trust Security, or IT Infrastructure Analytical mindset with the ability to interpret usage data and transform insights into strategic actions Preferred Qualifications: Background in technologies such as Accops, Citrix, VMware, Omnissa, or other Secure Access/VDI solutions Experience managing large enterprise accounts or strategic portfolios as an individual contributor MBA or equivalent experience in business strategy or IT management is a plus Soft Skills & Behavioral Competencies: Excellent verbal and written communication skills Strong solution design and articulation abilities Proactive and self-driven with a customer-first approach Accountable, with a high level of ownership and responsibility Analytical and logically sound with strong problem-solving skills Flexible, multi-tasker, and quick learner in a dynamic environment Team player with collaborative leadership qualities Qualification : Bachelor's Degree / MBA (Preferably in IT or Business Strategy)

Position: Senior / Lead Java Developer Location: Pune Work Type: Full Time Minimum Experience: 6 8 Years Top Skills: Core Java, Spring Boot, Cloud-Native Microservices About the Role At Cognologix, we empower data-driven enterprises to harness the full potential of their data. From scalable analytics to machine learning platforms, we help clients navigate their digital transformation journeys. As a Senior/Lead Java Developer, you will work with modern cloud-native technologies to build distributed systems that process terabytes of data efficiently and intelligently. Key Responsibilities Collaborate with Data Scientists, Engineers, and Product Managers to transform complex data into actionable insights. Design and develop high-performance, low-latency Java-based microservices. Own the end-to-end architecture, implementation, and maintenance of backend systems. Design and implement REST APIs and contribute to living documentation and test specifications. Write clean, scalable, and testable code following best development practices. Build and maintain data pipelines using Apache Spark, Google Data Pipelines, or similar tools. Mentor junior developers and actively contribute to team growth and knowledge sharing. Continuously optimize and enhance the software development lifecycle. What You Bring (Must-Have Skills) 5+ years of hands-on experience building scalable cloud-native applications. Proficient in Java, Spring, Spring Boot, and Spring Security frameworks. Experience with Groovy, SQL, or NoSQL databases. Familiarity with distributed event-driven architectures using Kafka, GCP Pub/Sub, etc. Solid understanding of RESTful API design principles and performance optimization. Experience in working with Google Cloud Platform (GCP) and BigQuery is a plus. Nice to Have (Preferred Skills) Exposure to containerized environments and tools such as Docker, Istio, and Kubernetes. Experience with big data technologies like Apache Spark, Flink, or similar platforms. Understanding of CI/CD pipelines, DevOps practices, and cloud infrastructure automation. Full-stack development experience or a willingness to contribute beyond backend responsibilities. High autonomy, fast-paced environment, and flat hierarchy Work on emerging technologies and solve meaningful problems at scale Remote work options available for experienced professionals Competitive compensation and family-friendly benefits Clear path for performance-based career growth About Cognologix Cognologix helps companies disrupt and innovate by reimagining their business models. We specialize in building modern, scalable, cloud-native products with a focus on data engineering, analytics, and automation. Our agile teams deliver high-quality, tech-driven outcomes across industries and geographies.

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

Position: Senior Data Scientist Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on revolutionizing the construction industry through advanced AI and ML solutions. Our Data Science and Analytics team comprises Data Scientists, AI Engineers, Data Analysts, and Data Engineers working collaboratively to drive innovation across all construction project phases from pre-construction to post-construction. Our mission is to harness the power of data and AI to improve predictability, automate processes, and enhance efficiency in construction domains such as scheduling, planning, supply chain, safety, quality control, site management, financials, and virtual design construction. Role Overview We are seeking a highly skilled Senior Data Scientist to lead the development of innovative AI and machine learning solutions focused on construction data. You will work on cutting-edge projects involving Computer Vision, Predictive Analytics, Generative AI, and Large Language Models (LLMs) using technologies such as MS Azure AI Services, OpenAI, and various ML frameworks. Key Responsibilities Collaborate strategically with cross-functional teams to identify and solve business problems through scalable AI/ML solutions. Analyze construction project data to develop predictive models using traditional methods and generative AI. Apply machine learning algorithms to enhance project execution, safety, risk assessment, and other core construction processes. Lead end-to-end development of scalable predictive and ML models, including hypothesis generation, development, deployment, and monitoring. Build, validate, and optimize machine learning and statistical models; review and quality control models developed by junior team members. Partner with engineering and business teams to deeply understand data, processes, and business requirements, and implement appropriate solutions. Stay updated on advances in data science and machine learning to continuously enhance vConstruct s capabilities. Use statistical techniques to detect anomalies and optimize workflows to ensure timely, cost-effective project delivery. Collaborate with product managers and business leaders to drive data-driven decision-making and communicate insights effectively. Visualize insights using BI tools to support stakeholders in understanding data outcomes. Key Projects Include Developing GPT-based language models customized for construction industry data (structured and unstructured). Utilizing computer vision for object detection on 2D drawings and 3D BIM models. Applying statistical frameworks to predict construction site losses, win/loss opportunities, and quantity forecasts. Integrating AI models deeply into construction operations to automate and improve efficiency. Qualifications Bachelor s or Master s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. 8-10 years of professional experience, including at least 6 years in data science, machine learning, and analytics. Proven track record of delivering impactful, production-ready AI/ML solutions. Experience managing multiple projects in fast-paced, dynamic environments. Strong business acumen with the ability to translate technical insights into actionable business strategies and communicate effectively with stakeholders. Experience with construction data or related industries (engineering, manufacturing) is a plus. Technical Skills Expertise in Python, R, or Scala programming. Proficiency with ML, AI, and statistical frameworks and libraries such as TensorFlow, PyTorch, scikit-learn. Strong experience in predictive analytics, clustering, classification, regression, and multivariate techniques. Hands-on experience with data visualization tools such as Tableau, Power BI, Matplotlib. Familiarity with cloud platforms (preferably Azure), Azure ML Services, and Snowflake is a plus. Strong SQL skills and experience working with relational databases. Knowledge of NLP and Computer Vision technologies is advantageous. If you re passionate about transforming the construction industry through AI/ML innovation and want to work with a talented, motivated team, apply now to join vConstruct s visionary journey. Qualification : Bachelors or Masters degree in Computer Science, Data Science, Statistics, Mathematics, 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.

Job Title: Senior Staff Software Engineer (Foundation) Company: Druva Location: Pune, India About Druva: Druva empowers organizations with cyber, data, and operational resilience through the Data Resiliency Cloud the industry s first and only SaaS solution at scale. Our platform simplifies data protection, streamlines governance, and provides unparalleled data visibility and insights, enabling customers to accelerate cloud adoption. Trusted by thousands of enterprises, including 60 of the Fortune 500, Druva eliminates complex infrastructure and management costs by delivering data resilience through a single platform spanning multiple geographies and cloud environments. About the Role: The Foundation team at Druva designs and develops a highly scalable, petabyte-scale distributed cloud file system built on AWS. This service-oriented system handles critical features such as file system metadata management, versioning, and eventual consistency using AWS services like S3, DynamoDB, and Kinesis. Beyond the core file storage engine which supports backup storage for all Druva products the team builds and maintains allied components like indexing engines, key-value stores, and big data pipelines to enable scalable search, analytics, and compliance capabilities. As a Senior Staff Software Engineer, you will collaborate closely with cross-functional teams, architects, and DevOps to define high-level and low-level designs (HLD/LLD) for advanced data security and management services. You will stay abreast of emerging trends in data security, platforms, technologies, and APIs, applying these insights to enhance existing features and develop new capabilities. You will also mentor and guide junior engineers, fostering a culture of high-quality, high-velocity software development. Key Skills & Experience: 5 to 7 years of experience building enterprise-grade software products. Expertise in designing and implementing SaaS solutions at scale. Proficiency in Python or Golang for software development. Deep knowledge and hands-on experience with cloud storage and data management systems. Proven experience building storage systems focused on securing and protecting data at scale, including managing data and metadata. Prior experience working on data protection products is highly desirable. Familiarity with cloud platforms such as AWS and Azure is a plus. Strong hands-on developer with excellent communication and collaboration skills. Ability to influence architecture, design, and implementation for timely delivery of business outcomes. Desirable: Strong written and verbal communication skills. Experience with Agile methodologies (Scrum). In-depth knowledge of AWS cloud technologies. Responsibilities: Collaborate with architects, developers, and DevOps to define HLD and LLD for data security and management services and features. Monitor and evaluate emerging trends in data security, management platforms, technologies, and APIs to refine and develop features. Lead the integration of data management tools and applications to enhance product quality and user experience. Promote best practices and principles of high-quality SaaS software development. Mentor and train junior engineers on data management, security principles, and agile development methodologies. Qualifications: Bachelor s or Master s degree in Computer Science, Engineering, or a related field (Advanced degree preferred). Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field (Advanced degree preferred).

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: 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.

Senior Specialist, Technical Product Management | Pharmaceutical & Life Sciences | Pune, India | Merck & Co. Job Overview: Merck & Co. is seeking a Senior Specialist in Technical Product Management to join our Human Health Digital, Data, and Analytics (HHDDA) division in Pune. In this role, you will play a pivotal part in developing and activating advanced internal forecasting products aimed at optimizing the delivery of medicines to patients. You will collaborate with product management and product delivery teams to build relationships with internal customers, train activation teams, measure product success, and represent customer needs in product development. The ideal candidate will have strong leadership skills, a deep understanding of healthcare and technology, and a passion for product development. As a domain expert in Pharma, you will guide product strategies, inspire innovation, and help drive a growth mindset within the team. Key Responsibilities: Analyze business processes, user needs, and stakeholder challenges to inform product development decisions. Forecasting Expertise: Use your experience with pharma forecasting, including time-series analysis, stochastic simulation, and optimization, to drive product decisions. Voice of Customer: Act as the bridge between internal stakeholders and technical teams, ensuring the customer s voice influences product development. Collaboration & Communication: Work with cross-functional teams to define product requirements, document detailed business needs, and evaluate product features for future development. Product Strategy: Adapt product strategies and roadmaps based on market feedback and evolving customer needs. Leadership: Guide product teams, provide mentorship, and ensure alignment across product management and delivery leads. Innovative Thinking: Stay updated on industry trends in pharma, forecasting technologies, and analytics to propose new features that provide business value. What You Will Achieve: Within 3 Months: Understand the product suite and its objectives. Familiarize yourself with processes, workflows, tools, and company culture. Develop relationships with stakeholders and teams, participating in knowledge-sharing sessions and product ceremonies. Within 6 Months: Collaborate on defining business requirements for upcoming product features. Conduct gap analysis between current and desired outcomes, identifying areas for product enhancement. Within 9 Months: Represent the voice of the customer in product planning, helping to propose, prioritize, and evaluate new product features and improvements. Required Qualifications & Skills: Bachelor s Degree in Computer Science, Engineering, or an MBA (relevant certifications are a plus). 3+ years of experience in a lead product management role within the pharmaceutical or life sciences industry, with 10+ years of total experience in product management or related fields. Expertise in Pharma Forecasting: Applied experience with time-series forecasting, stochastic simulation, and optimization techniques. Experience in designing and developing embedded reporting, dashboards, and visualizations to communicate product data effectively. Strong communication and presentation skills for conveying complex concepts to stakeholders at all levels of the organization. Ability to lead and collaborate with cross-functional teams, driving product initiatives from conception to launch. Preferred Experience: Experience with advanced analytics platforms and data-driven decision-making in healthcare and pharma. Ability to thrive in a fast-paced, dynamic environment with shifting priorities. Location: Pune, India Flexible Hybrid Work Arrangements Visa Sponsorship Available At Merck & Co., we believe in driving data-driven innovation to improve healthcare outcomes globally. As a Senior Specialist in Technical Product Management, you will have the opportunity to shape the future of healthcare technology by contributing to cutting-edge forecasting tools that empower teams to make data-driven decisions. If you are passionate about product management, forecasting, and pharmaceutical innovations, this is your chance to make a significant impact. Qualification : Bachelors Degree in Computer Science, Engineering, or an MBA (relevant certifications are a plus).

Job Description: Essential Job Functions: Collaborate with the software development team to design, code, and test software solutions, with a focus on developing and maintaining critical components. Work with senior team members to meet project requirements and deadlines, actively participating in design and code reviews. Contribute to troubleshooting and problem-solving in software development, diagnosing and resolving complex technical issues. Participate in the development and documentation of software requirements and specifications. Debug and resolve complex production issues, working closely with senior engineers and support teams. Stay updated on emerging technologies and best practices, researching and proposing innovative solutions. Assist in mentoring and guiding junior team members, sharing knowledge and expertise. Take ownership of challenging technical tasks and collaborate on architectural decisions. Basic Qualifications: Bachelor's degree in a relevant field (i.e., Computer Science) or equivalent combination of education and experience Typically, 4+ years of relevant work experience in industry, with a minimum of 1+ years in a similar role years of relevant software engineering experience Proficiency in 1 or more software languages and development methodologies Proficiency in coding and debugging complex software components Familiarity with software development practices and methodologies Strong problem-solving and analytical skills Effective communication and teamwork abilities Eagerness to learn and adapt to challenging technical tasks Other Qualifications: Advanced degree in a related field is a plus Relevant certifications or training a plus Qualification : Bachelor's degree in a relevant field (i.e., Computer Science) or equivalent combination of education and experience

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 Senior Engineer - Data Analytics in the Manufacturing domain with 3-7 years of experience. Lead data analytics projects focusing on aerospace reliability and warranty analysis. Develop solutions using Python and Power BI, creating insightful dashboards. Analyze warranty and aftermarket data for valuable insights. Collaborate across teams to address challenges. Streamline data processes using VBA and MS Excel. Drive reliability analysis initiatives for product performance. Communicate findings effectively and mentor junior team members. Demonstrate strong project management and leadership skills. Preferred: Experience in After-market data analysis, strong communication skills, proficiency in VB.Net. Education: Bachelor of Technology or Bachelor of Engineering in Computer Science coupled with an MBA in Business Analytics or Data Science. Preferred certifications: Microsoft Certified: Data Analyst Associate and Certified Reliability Engineer (CRE). Roles & Responsibilities Lead and oversee data analytics projects with a focus on reliability and warranty analysis in the aerospace industry. Utilize Python and Power BI to develop advanced data analytics solutions and create insightful Power BI dashboards for stakeholders. Conduct in-depth analysis of warranty data and aftermarket performance to provide valuable insights and recommendations. Collaborate with cross-functional teams to understand and address the unique challenges of the aerospace aftermarket business. Apply expertise in VBA and MS Excel to streamline data processes and enhance data visualization. Drive reliability analysis initiatives to ensure product performance and customer satisfaction. Communicate findings effectively through reports and presentations. Mentor junior team members and contribute to their professional development. Demonstrate strong leadership skills in project management and team coordination. Maintain a high level of professionalism and uphold ethical standards in data analysis and reporting. Our ideal candidate Extensive experience in Python, Power BI, Warranty Analysis, Aerospace V&V (Verification and Validation) processes, and Reliability Analysis 3-7 years of experience with advanced proficiency in Python for developing data analysis scripts and automation tools Expertise in Power BI for creating interactive visualizations and dashboards In-depth knowledge of Warranty Analysis and Reliability Analysis methodologies Ability to apply VBA and MS Excel for data manipulation and analysis Education: Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, coupled with a Master of Business Administration (MBA) in Business Analytics or Data Science Certification: Microsoft Certified: Data Analyst Associate and Certified Reliability Engineer (CRE) preferred Company overview Altimetrik delivers outcomes for our clients by rapidly enabling digital business & culture and infuse speed and agility into enterprise technology and connected solutions. We are practitioners of end-to-end business and technology transformation. We tap into an organization s technology, people, and assets to fuel fast, meaningful results for global enterprise customers across financial services, payments, retail, automotive, healthcare, manufacturing, and other industries. Founded in 2012 and with offices across the globe, Altimetrik makes industries, leaders and Fortune 500 companies more agile, empowered and successful.Altimetrik helps get companies get unstuck . We re a technology company that lives organizations a process and context to solve problems in unconventional ways. We re a catalyst for organization s talent and technology, helping teams push boundaries and challenge traditional approaches. We make delivery more bold, efficient, collaborative and even more enjoyable. Qualification : Bachelor of Technology (B.Tech) or Bachelor of Engineering (B.E) in Computer Science or Information Technology, coupled with a Master of Business Administration (MBA) in Business Analytics or Data Science

About Apexon Apexon is a digital-first technology services firm that specializes in accelerating business transformation and delivering human-centric digital experiences. We work with clients across the digital lifecycle, helping them outperform their competition through speed and innovation. With deep expertise in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering, and UX, Apexon is at the forefront of helping businesses capitalize on the limitless opportunities digital offers. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon has a global presence with 15 offices and 10 delivery centers across four continents. We re committed to enabling #HumanFirstDigital. Role: Software Engineer As a Software Engineer at Apexon, you will play a pivotal role in developing innovative technology solutions, particularly focused on improving cancer diagnostics. Your work will directly contribute to saving and improving lives globally. You will be working with a fast-paced, collaborative team of top-tier engineers. Key Responsibilities: Software Development: Propose and evaluate design options, review code, and analyze requirements. Implement high-quality code and tests in areas such as web APIs, databases, cloud components, and analysis pipeline execution. Process & Operations: Ensure test automation and regulatory compliance are embedded into software development practices. Apply Lean principles in activities to drive continuous improvement in team operations and product quality. Who You Are: You are an experienced software engineer with a passion for working in innovative technology that makes a difference in the healthcare industry. You thrive in a collaborative environment and have a strong leadership skillset that drives successful project execution. You are committed to continuous improvement and have experience delivering high-quality software solutions. Qualifications: Bachelor s degree in Computer Science or a related technical discipline. 4+ years of hands-on experience designing, developing, and deploying scalable web applications and services. Experience in building software products using Java, REST APIs, Microservices, and modern web frameworks like Angular/React. Proficient in data structures (e.g., Stack, Queue, LinkedList) and algorithms. Experience with cloud infrastructure, preferably AWS. Ability to collaborate on architectural discussions and take ownership of projects to deliver high-quality software. Experience with relational and NoSQL databases. Dedication to Agile/Lean practices and scalable architecture. Ability to develop reusable inner- or open-sourced components for multiple projects. Experience with behavior or test-driven development. Experience working closely with security and compliance teams to ensure software meets requirements. Ability to work with globally distributed, multicultural teams. Nice to Have: Experience developing regulated products under design control. Familiarity with virtualization, containers, and orchestration platforms (Docker, Kubernetes). Experience with tools like Datadog, Helm, and GitHub Actions. A passion for continuous improvement in software development processes and frameworks. Our Commitment to Diversity & Inclusion: Apexon is a proud equal opportunity employer, certified by Great Place to Work in the USA, India, and the UK. We are dedicated to fostering a diverse and inclusive work environment and strictly prohibit discrimination and harassment. We offer equal opportunities to employees and applicants without regard to gender, race, ethnicity, national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or other protected characteristics. Our Perks and Benefits: We provide a comprehensive benefits program designed to recognize your contributions and support your personal growth, learning, and well-being. Our offerings include: Group Health Insurance covering family of 4. Term Insurance and Accident Insurance. Paid Holidays & Earned Leaves. Paid Parental Leave. Learning & Career Development opportunities. Employee Wellness programs.

About Apexon Apexon is a digital-first technology services firm focused on accelerating business transformation and delivering human-centric digital experiences. We empower businesses to outperform their competition by meeting customers at any stage in the digital lifecycle. Apexon brings together expertise in AI, analytics, app development, cloud, commerce, CX, data, DevOps, IoT, mobile, quality engineering, and UX, along with deep domain knowledge in BFSI, healthcare, and life sciences. Backed by Goldman Sachs Asset Management and Everstone Capital, Apexon has a global footprint with 15 offices and 10 delivery centers across four continents. Position: Senior Java Developer Location: Pune, India Experience: Minimum 8 years of Java development experience Total Positions: 1 Job Description We are looking for a Senior Java Developer to join our dynamic team. The ideal candidate will have a deep understanding of Core Java, Spring Core, and React, along with experience in DevOps tools such as Docker, Kubernetes, and Git Actions. You will be responsible for designing and developing robust, scalable applications, providing technical leadership, and ensuring seamless integration and deployment. Key Responsibilities Develop and Maintain: Write clean, high-quality, high-performance, and maintainable code. Support test and deployment processes to ensure smooth delivery. Architectural Design: Design and develop robust, scalable applications using Java and Spring Core. Technical Leadership: Provide guidance and mentorship to junior developers. Collaborate with cross-functional teams to ensure optimal software solutions. Full Stack Development: Utilize your expertise in Java and React to develop both backend and frontend solutions. DevOps Integration: Utilize tools like Docker, Kubernetes, and Git Actions for continuous integration, deployment, and automation. Collaboration: Work with business units and stakeholders to gather requirements and ensure the delivery of reliable software solutions. Troubleshooting: Identify and resolve technical issues, and participate in an on-call rotation as needed. Documentation: Maintain documentation and ensure best practices are followed. Required Skills & Experience Core Java: Minimum of 8 years of hands-on experience in Java development. Spring Core: Proficiency in using the Spring framework to create enterprise-level applications. React: Solid understanding of React and its core principles. DevOps Tools: Experience with Docker, Kubernetes, and Git Actions. Software Architecture: Strong knowledge of software architecture and design patterns. Problem-Solving: Excellent problem-solving skills and the ability to work with minimal supervision. Communication: Strong written and verbal communication skills. Desirable Skills Cloud Services: Experience with cloud platforms such as AWS, Azure, or Google Cloud. Microservices: Familiarity with microservices architecture. Agile Methodologies: Understanding of Agile practices and experience working in Agile teams. Database Management: Experience with relational and non-relational databases. Our Commitment to Diversity & Inclusion Apexon is proud to be recognized as a Great Place to Work, certified in the USA, India, and the UK. We are committed to creating an inclusive and diverse workplace. We ensure equal opportunity employment for all qualified individuals and strictly prohibit any form of discrimination or harassment. At Apexon, we believe in promoting a #HumanFirstDigital culture. Perks and Benefits As an Apexon Associate, you'll enjoy: Comprehensive health benefits: Group Health Insurance (covering a family of 4), Term Insurance, and Accident Insurance. Paid Holidays & Leaves: Paid Parental Leave and earned leaves. Career Development: Learning opportunities and career advancement. Employee Wellness: Well-being programs to support you and your loved ones.

Role: Senior Architect Key Responsibilities: Platform Integration & Collaboration: Work across various platforms, collaborating with other support teams to ensure smooth integration and efficient operations. Solution Design & Development: Design, develop, test, and implement changes to solutions based on business requirements and strategic direction. Collaboration with Development Teams: Collaborate with development teams to test and maintain platforms and ensure smooth integration with other systems. Product/Project Support: Communicate regularly with Product Owners and agile Pods to provide ongoing support for products and projects. Guidance & Mentorship: Guide junior team members in development and delivery to help them grow and ensure efficient workflow. Release Support & Monitoring: Responsible for supporting production releases, conducting peer reviews, and overseeing the CI/CD pipeline implementation and service monitoring. Shift & On-Call Availability: Be flexible in working hours, ready to work in shifts and be on-call when needed. Requirements: To be successful in this role, you should meet the following criteria: Experience: 8-10 years of experience in software development, specifically in data analysis or big data projects. Technical Expertise: Strong skills in SpringBoot, Java 8, Kubernetes, Docker, Microservices, and PostgreSQL. Good understanding of CDP 7.1, HDFS filesystems, Unix, and Unix Shell Scripting. Knowledge of Elasticsearch, DevOps concepts, and related platforms. System Design: Proven experience in analyzing complex business requirements and translating them into effective system designs. Data Processing Expertise: Expertise in building and deploying production-level data processing batch systems supported by application support teams. Communication & Collaboration: Ability to work at pace, communicate clearly, and operate both independently and as part of a team. Desirable Skills: Good to have knowledge of Quantexa software, Angular, HTML, CSS, and JavaScript. Optional knowledge of cloud platforms. At HSBC, you'll have the opportunity to make a real impact. We support your career development, offer flexible working, and provide a collaborative, inclusive environment where you can thrive. Qualification : Person should have 8-10 years of experience in s/w development on data analysis or big data projects.

Introduction In this role, you ll work in one of our IBM Consulting Client Innovation Centers (Delivery Centers), where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world. Our delivery centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology. The IBM Client Innovation Center (CIC) is an innovative and exciting part of IBM, working as IBM Global Business Services technical delivery partner. We continually innovate for our customers, employees, and shareholders. Our Technical Skills range from Application Development, Testing Services, Technical Support through to Cloud and Artificial Intelligence. Your work will power IBM and its clients globally, collaborating and integrating code and processes into enterprise systems. You will have access to the latest education, tools and technology, and a limitless career path with the world s technology leader. Come to IBM and make a global impact! Your Role and Responsibilities Provide expertise in analysis, requirements gathering, design, coordination, customization, testing and support of reports, in client s environment Develop and maintain a strong working relationship with business and technical members of the team Relentless focus on quality and continuous improvement Perform root cause analysis of reports issues Development / evolutionary maintenance of the environment, performance, capability and availability. Assisting in defining technical requirements and developing solutions Effective content and source-code management, troubleshooting and debugging. Required Technical and Professional Expertise Tableau Desktop Specialist, SQL -Strong understanding of SQL for Querying database Good to have Python ; Snowflake, Statistics, ETL experience. Extensive knowledge on using creating impactful visualization using Tableau. Must have thorough understanding of SQL & advance SQL (Joining & Relationships). Must have experience in working with different databases and how to blend & create relationships in Tableau. Must have extensive knowledge to creating Custom SQL to pull desired data from databases. Troubleshooting capabilities to debug Data controls. Preferred Technical and Professional Expertise Troubleshooting capabilities to debug Data controls Capable of converting business requirements into workable model. Good communication skills, willingness to learn new technologies, Team Player, Self-Motivated, Positive Attitude. Must have thorough understanding of SQL & advance SQL (Joining & Relationships).