Top Data Engineer Jobs in Pune

The role involves managing data pipelines in cybersecurity, collaborating with teams to implement solutions, and troubleshooting issues efficiently using Python and SQL.

As a Data Engineer, you will design and maintain data pipelines, enhance blockchain reporting, and ensure data quality while integrating external data sources and working with various teams.

Design and refine the data platform blueprint, collaborate with Integration and Data Architects, lead and mentor team members, optimize platform performance and scalability, and ensure data integration, governance, and model efficiency across teams.

Design, build, and operate large-scale batch data pipelines and lakehouse architectures. Ensure data quality, observability, security, and compliance. Automate cloud infrastructure, develop CI/CD, perform code/design reviews, mentor junior engineers, and drive scalable, fault-tolerant distributed systems for analytics and ML.

The Senior Data Engineer builds and maintains data systems, ensuring data integrity and security. Responsibilities include designing data pipelines, collaborating with data scientists, and managing data architectures. The role emphasizes leadership and strategic contributions to the organization.

The Senior Data Engineer builds and maintains systems for data collection, storage, processing, and analysis, ensuring accuracy and security.

The Lead Data Engineer designs and maintains data systems and architectures, facilitates data processing and analysis, and leads engineering teams while ensuring data quality and governance.

Data Engineer responsibilities include designing and building scalable data management systems, optimizing data pipelines, managing data warehouses, and ensuring data quality and compliance.

Lead enterprise analytics and BI initiatives by designing, building, and optimizing dashboards, reports, and data models. Serve as SME for BI platforms, ensure data governance and accuracy, engage stakeholders, support modernization and automation, mentor team members, and resolve complex reporting issues to enable strategic decision-making.

The Software Engineer will manage data collection for model training, enhance cloud infrastructure for data ingestion, and collaborate with AI scientists to optimize data pipelines.

As a Principal Data Engineer, you will lead and design scalable data solutions, mentor engineers, and ensure data quality across the organization.

As a Data Engineer, you will innovate and maintain technology services, develop software systems for large projects, and work across all SDLC phases.

The Data Engineer role involves designing and maintaining data pipelines, ensuring data quality, integrating data sources, and collaborating across teams to enhance BitGo's data infrastructure.

As a Data Engineer, you will develop and maintain data pipelines and ETL processes, manage data integrations, and optimize data storage to support analytics and reporting for the rental housing industry.

Responsible for building and operating data architectures, creating data pipelines, and implementing DataOps practices to support data scientists and engineers.

Design, implement, and maintain data pipelines using Elasticsearch and data warehousing solutions, integrate data sources, and ensure data accuracy while collaborating with cross-functional teams.

Build and maintain AWS serverless applications and data pipelines using Python and Node.js, implement authentication via Cognito and Lambda triggers, develop REST/GraphQL APIs and React frontends, author IaC with Terraform/CloudFormation, integrate CI/CD, ensure security/compliance, and support integrations such as webhooks and event streams.

Design, develop and maintain management reports, dashboards and automated reporting pipelines. Build curated datasets via SQL and data modelling, perform exploratory analysis and cleansing, implement BI semantic models and DAX measures, ensure observability and controls, and engage stakeholders. Lead or coach team members and influence decision-making across the business.

As a Staff Data Platform Engineer, you will lead the design and development of data infrastructure, manage CI/CD processes, and implement observability for data pipelines.

As a Data Engineer, you will design and maintain data pipelines on Databricks and AWS, focusing on ETL/ELT processes to support analytics and reporting across the organization.

Design, build, and operate scalable Snowflake-based data platforms and ELT pipelines ingesting from relational, NoSQL, and streaming sources. Own Snowflake administration, cost governance, security, data modelling, observability, and Trino analytics layer. Collaborate with product and business teams to deliver tested, documented datasets and ensure compliance with PII and regulatory requirements.

Senior Data Engineer responsible for designing and tuning complex SQL, building ETL/ELT pipelines, querying data lakes with Spark SQL/Trino/Presto, implementing materialized views, partitioning and vacuuming, and developing ACID-compliant Delta Lake tables in Parquet. Requires deep transactional, normalization/denormalization, and query optimization expertise and 10+ years experience with effective English communication.

As a Data Engineer, you will build scalable ETL/ELT pipelines, optimize data structures, and develop impactful Power BI solutions for stakeholders.

The Data Engineer will design and maintain data models, develop BI solutions, integrate data, and optimize data flows while collaborating with stakeholders.

Design and own the architecture for FNZ's Aggregated Analytical Warehouse, focusing on privacy, cross-client analytics, and data governance. Responsibilities include defining data models, architecting privacy solutions, and overseeing technical evaluations of confidential compute vendors.