Top Data Engineer Jobs in Bangalore

Lead data engineering architecture and execution for large-scale, low-latency analytics. Own technical direction, ensure operational data quality, design streaming and batch pipelines, mentor engineers, coordinate cross-functional teams, and deliver scalable solutions using Spark, Airflow, and AWS or equivalent data platforms.

Design, build, and optimize scalable data pipelines and architectures. Collaborate with cross-functional teams to deliver data solutions, ensure data quality and integrity, enable advanced analytics, and drive continuous improvement and innovation in data engineering.

The Data Engineer will optimize the elluminate® platform for clinical data through coding, ETL processes, and deliver client-focused solutions while ensuring compliance with industry standards.

Design, build, and operate end-to-end cloud data pipeline solutions with a focus on reliability, scalability, security, and zero-downtime releases. Monitor and optimize performance, resolve incidents, support production lifecycle, and collaborate with product teams to deliver data products for finance, payments, and regulatory reporting.

Leads the design, development, testing, and maintenance of Big Data and ETL solutions using Azure Databricks, Delta Lake, Python, and SQL. Builds ingestion pipelines, data warehouses, and low-latency analytics systems; tunes performance; automates workflows with DevOps and CI/CD practices; and develops AI-powered solutions. Documents architectures, collaborates with stakeholders, resolves issues, and mentors junior engineers.

Operate and automate scalable ETL/ELT pipelines, implement CI/CD and IaC for data assets, ensure data observability and quality, enforce security/compliance, and support data scientists and analysts to maintain highly available global data infrastructure.

Design, develop, and maintain scalable data solutions and ETL pipelines for migrating legacy on-premises data to AWS. Build pipelines using Spark, Glue, PySpark, SQL, Step Functions, EventBridge, and Lambda; validate data quality, support incremental loads, monitor workflows with CloudWatch, troubleshoot failures, and optimize performance and cost. Collaborate with solution designers, DevOps engineers, and cross-functional teams while documenting solutions and supporting data migration handover.

Design, develop, and maintain data solutions, pipelines, and ETL processes. Ensure data quality, support data migration across systems, optimize workflow performance, troubleshoot data issues, and promote data governance. Serve as a subject matter expert, make team decisions, mentor colleagues, and coordinate cross-functional data strategy efforts.

Design and maintain scalable data pipelines and architectures using Google Cloud Platform, Spark, BigQuery, Dataproc, and Airflow. Develop data models, transformations, integrations, and query optimizations while ensuring data quality, governance, privacy, and regulatory compliance. Translate complex business requirements into technical solutions, collaborate with stakeholders, and evaluate emerging technologies to improve enterprise data processing and accessibility.

Design and maintain scalable data pipelines and architectures using Google Cloud Platform, Spark, PySpark, BigQuery, Dataproc, and Airflow. Develop data models, transformations, integrations, and governance practices while optimizing queries and ensuring data quality, compliance, and reliability. Translate complex business needs into technical solutions and collaborate with stakeholders to support analytics and data-driven decisions.

Designs, develops, and maintains scalable Azure ETL/ELT pipelines and data workflows. Responsibilities include data ingestion, transformation, orchestration, storage and compute optimization, monitoring, troubleshooting, data quality management, and implementing security and governance best practices. The role collaborates with analysts, data scientists, and application teams to support analytics and reporting, while participating in Agile ceremonies and continuous improvement.

Design, develop, and maintain scalable data solutions, pipelines, and ETL processes. Ensure data quality, optimize data workflows, manage data integration and warehousing, troubleshoot processing issues, and support data governance. The role serves as a subject matter expert, leads technical decisions, collaborates across teams, and mentors junior engineers.

Designs and maintains scalable data solutions, pipelines, data models, and ETL processes. Ensures data quality, supports data migration and integration, troubleshoots complex data issues, and leads architecture decisions. The role requires collaboration across teams, technical leadership, mentoring junior staff, and expertise in database design, data warehousing, governance, and quality assurance.

Designs and maintains scalable data solutions, pipelines, data models, and ETL processes for data collection, quality, migration, and deployment. Leads data architecture initiatives, troubleshoots complex data issues, coordinates cross-functional teams, makes technical decisions, and mentors junior engineers. Requires expertise in data modeling, database design, data warehousing, data integration, governance, and quality assurance, along with at least 7.5 years of relevant experience.

Design, develop, and maintain data solutions and scalable ETL pipelines using Databricks. Ensure data quality and integration, optimize workflows, mentor team members, and coordinate cross-functional data initiatives to support organizational goals.

Design, develop, and maintain scalable data solutions, pipelines, and ETL processes using Databricks. Ensure data quality, governance, performance, and reliability while supporting data migration and deployment across systems. Monitor and troubleshoot pipeline issues, document workflows, collaborate with cross-functional teams, and provide technical guidance to junior team members.

Design, develop, and maintain scalable data solutions, pipelines, data architectures, and ETL processes. Ensure data quality, governance, integration, migration, and deployment across systems. Collaborate with multiple teams, make technical decisions, troubleshoot complex data issues, optimize workflows, and mentor junior engineers while serving as a subject matter expert.

Designs, develops, and maintains scalable data solutions, pipelines, and ETL processes using Databricks. Ensures data quality, governance, performance, and reliable migration across systems. The role includes monitoring and troubleshooting pipelines, documenting workflows, collaborating with cross-functional teams, solving data-related problems, and supporting junior team members while contributing as an independent subject matter expert.

Design, develop, and maintain scalable data solutions, pipelines, and ETL processes using Databricks and Azure. Ensure data quality, optimize workflows, troubleshoot processing issues, and support data migration across systems. Lead architecture decisions, collaborate with multiple teams, mentor junior engineers, and serve as a subject matter expert.

Design, develop, and maintain scalable data solutions, pipelines, and ETL processes using Databricks. Ensure data quality, governance, performance, and reliability while supporting migration and deployment across systems. Collaborate with cross-functional teams, troubleshoot pipeline issues, document workflows, contribute to technical discussions, and guide junior team members.

Designs, develops, and maintains scalable data solutions, pipelines, and ETL processes. Ensures data quality, supports data migration and deployment across systems, optimizes workflows, and troubleshoots data issues. The role also involves making team decisions, collaborating across multiple teams, providing technical solutions, and mentoring junior engineers.

Lead data engineering for enterprise banking platforms, building ETL/ELT pipelines, Oracle and SQL/PLSQL solutions, data warehouses, and risk and regulatory reporting systems. Provide production support, troubleshoot batch and data issues, automate validation and reconciliation, ensure data quality and governance, and collaborate with Risk, Finance, Compliance, and Technology stakeholders. Mentor team members and support regulatory submissions and audit readiness.

Designs and maintains scalable data pipelines and warehousing solutions using Python, Snowflake, AWS, DBT, and Control-M. Integrates web services, APIs, microservices, relational databases, and NoSQL systems while monitoring data quality, performance, and cost. Collaborates with data scientists, analysts, and engineers, contributes to governance standards, and supports machine learning and LLM data pipelines.

Design and implement secure Test Data Management solutions: data masking, provisioning, subsetting, synthetic data generation, and lineage. Build and automate data pipelines and platform components (primarily on Azure/Databricks), enforce governance and privacy (GDPR, PII), collaborate with application/QA/data teams, and support audit/compliance requirements.

Join Airbus as a PySpark Developer to optimize data processing for Airframe Services. Responsibilities include performance tuning, data governance, and CI/CD automation in an Agile environment.