Top Data Engineer Jobs in Hyderabad

Design, build, and optimize large-scale ETL pipelines and distributed data applications (batch and streaming) using Spark and Scala. Ensure data quality and performance, deploy and manage workloads in cloud/container environments, troubleshoot production issues, and collaborate with product, engineering, and analytics teams to deliver scalable AdTech data solutions.

Lead HUD's data quality strategy for RL training data: build QC systems, validate synthetic data at scale, design evaluation experiments, partner with researchers and vendors, convert research insights into production validation pipelines and tools, and mentor research engineers.

Design and operate governed, AI-ready data products, semantic layers, and natural-language analytics experiences on Snowflake and/or Databricks. Build ETL/ELT pipelines with dbt, Airflow, Snowpark, and PySpark; deploy Cortex or Genie capabilities; develop RAG applications; implement governance, security, lineage, and metadata controls; optimize platform and LLM costs; and partner with Finance stakeholders on trusted data products.

Build, operate, and scale ingestion pipelines for marketing data (ad platforms, ecommerce, analytics). Normalize and transform data into shared schemas, ensure multi-tenant reliability, observability, and security, and partner with AI/data-science teams to expose clean data for agents.

Support and enhance Azure-based production data platforms, troubleshoot incidents, manage SLAs within a 24x7 support model, deploy optimizations and automation, and provide direct customer support while contributing to ongoing learning and certifications.

Implement and maintain ETL/data‑warehousing solutions using IBM DataStage. Develop complex SQL and database solutions (Oracle/Teradata). Collaborate with team, provide technical leadership, communicate with stakeholders, and support Unix-based deployments.

Design and implement data models from business requirements. Develop PL/SQL packages, procedures, and complex SQL queries. Work onsite at Dell Hyderabad; participate in face-to-face interviews and meet short notice-period constraints.

Own and scale the telemetry data pipeline from AWS IoT Core/GCP Pub/Sub through Kafka into TimescaleDB, improve platform performance and cost, evolve low-latency GraphQL/REST APIs and BFF, maintain observability (Grafana), enable safe live migrations, and drive production reliability and cross-functional delivery.

Build and scale an AI-powered stock research platform: design data pipelines ingesting SEC and market data, develop backend APIs, implement semantic search with embeddings and vector DBs, improve production reliability and performance, and own features end-to-end from design through deployment and monitoring.

Design, build and maintain secure, high-quality data pipelines on Azure (Data Factory, Databricks, Synapse). Cleanse, transform and optimise large event-based datasets, implement data quality/observability, develop ETL scripts, stored procedures, and CI/CD pipelines, and participate in testing and troubleshooting.

Lead design and build scalable ETL/ELT pipelines using Azure Databricks, PySpark and Delta Lake. Implement Unity Catalog governance, support real-time and batch processing, write T-SQL, develop unit tests, troubleshoot production issues, and collaborate with scrum teams and product owners.

Design and own end-to-end data platform architecture, build ingestion and transformation pipelines, model multi-tenant datasets, optimize Postgres and ClickHouse performance/cost, implement orchestration and observability, define data quality and reconciliation standards, and mentor data/product engineers.

Support electrical design, engineering, commissioning, and delivery of liquid-cooled data centre solutions: prepare layouts, SLDs, wiring diagrams, BOMs, perform load calculations, assist testing/FAT/SAT, troubleshoot commissioning issues, coordinate cross-functional teams, and ensure compliance with IEC/NEC/IEEE and company HSE standards.

Lead insider risk and data loss investigations from triage to closure, operate and tune DLP across environments, build detections and workflows, partner with HR/Legal/Compliance/IT, mature insider risk program, support audits, and mentor others.

As a Data Engineer, you'll build and monitor large-scale data pipelines, develop the DBT setup for data transformation and solve customer problems using your SQL skills.

Manage and support AKS-based enterprise data platform infrastructure, administer Apache NiFi, Azure Event Hub and Functions, implement CI/CD with Azure DevOps, automate infrastructure with Terraform/Bicep/ARM, monitor with Azure Monitor and Log Analytics, troubleshoot production incidents, ensure security, capacity planning, and collaborate with data engineering teams.

As a key member of the Data Infrastructure team, you will develop and optimize software features for Apache Hudi's transactional engine, enhance database performance, and solve complex data processing challenges.