Top Data Engineer Jobs in Hyderabad

Design, develop, test, and deploy high-performance Spark/Scala data processing applications and ETL pipelines on Cloudera (CDH). Optimize Spark and Cloudera platform performance, integrate HDFS/Hive/Impala/HBase/Kafka, ensure data integrity/security, and implement version control and CI/CD for production pipelines.

Design, model, and optimize relational and analytical data structures for OLTP and data warehouse systems. Build ER diagrams, define modeling standards, manage metadata with tools like Erwin/ER Studio, and drive data cataloging/lineage using Alation/Collibra. Perform performance tuning, sandbox POCs, handle time-series/history, and collaborate with engineers, architects, and product teams while documenting and enforcing governance.

Design, build and maintain cloud-oriented big data solutions for ingestion, processing, cleaning and exposition. Improve data quality, implement ETL and data-warehouse architectures, and collaborate with DDS/Data Foundation teams to ensure platform reliability.

Design and operationalize data governance workflows in Collibra, integrate Snowflake metadata and lineage, enable AI-driven metadata enrichment, and support stewardship, documentation, stakeholder collaboration, and governance automation for analytics and reporting.

As a Senior Engineer for Strategic Data Solutions, you will manage data warehousing, reporting, and analytics for internal operations and external partners. Responsibilities include collaborating with business units, providing insights, and ensuring high-quality data reporting.

The role involves leading analytics projects, overseeing Power BI platform administration, optimizing data sets, and training teams while collaborating with business leaders for successful platform migration and user adoption.

The Snowflake Senior Data Engineer will lead projects in data engineering, utilizing Snowflake and various AWS services to optimize data workflows and storage, while also guiding the team and collaborating with stakeholders.

The Data Analytics Developer develops and maintains Power BI dashboards, data transformation pipelines using dbt, and automates workflows with Azure tools and Python scripts.

Design and build scalable cloud-native data platforms and lakehouse architectures. Develop and optimize batch and real-time ETL/ELT pipelines, ensure data quality and governance, enable CI/CD and automation, manage Databricks/Snowflake/Fabric platforms, and collaborate with BI and business teams.

The Senior Data Analytics Engineer at MariaDB designs and builds data pipelines, writes SQL queries, develops internal tools, and translates data into actionable insights. They will collaborate closely with stakeholders and leverage AI tools to enhance analytics workflows.

The Senior Data Engineer will design and optimize ETL/ELT pipelines, manage data integration, perform data validation, and support reporting solutions using various technologies.