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Role Summary

Seeking skilled Data Operations & Engineering Specialist to design, develop, and support scalable data platforms, data pipelines, database solutions, and analytics ecosystems across AWS and Azure environments. The ideal candidate should have strong experience in data integration, migration, cloud-based data engineering, data warehousing, BI enablement, and operational excellence.

Must Have Skills

• Strong hands-on experience in SQL, Python, and/or PySpark.

• Experience designing and developing ETL/ELT pipelines, data flows, and integration solutions.

• Hands-on experience with AWS (S3, Glue, Redshift, Lambda, Athena) and/or Azure (ADF, Databricks, ADLS, Synapse).

• Strong knowledge of Data Warehousing, Data Lakes,



Lakehouse architectures, and dimensional data modeling (Star/Snowflake).

• Experience building and supporting enterprise data platforms for reporting, analytics, and business intelligence.

• Hands-on experience in data migration and modernization projects, including on-premises to cloud migrations and legacy platform transformations.

• Experience with Spark/Databricks and large-scale data processing.

• Knowledge of batch and real-time data processing frameworks.

• Experience with pipeline orchestration tools such as Airflow, ADF, Step Functions, or equivalent.

• Strong understanding of data quality, validation, performance tuning, and operational support.

• Experience supporting BI solutions using Power BI, Tableau, QuickSight, or similar platforms.

• Familiarity with source control, CI/CD, and Agile delivery methodologies.

Positive to Have Skills

• Experience with Snowflake, Micro

📌 Tech S and T-Infra-Data Operations and Engineering Specialist (Noida)
🏢 EY
📍 Noida