Senior Data Engineer
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Role: Senior Data Engineer Role
Primary Skillset: AWS, Python, Pyspark, SQL, Databricks and Data Modelling
Experience Range: 6 to 13 Years
Location: Chennai Office (Perungudi)
Job Description:
· Proven experience as a Data Engineer (typically 6-12 years, depending on level).
· Strong hands-on experience with Python for data engineering tasks.
· Proficiency in SQL (writing complex queries, performance tuning).
· Strong expertise in PySpark and Databricks.
· Hands-on experience working in AWS cloud environment (S3, Glue, EMR, Redshift, Lambda, etc.).
· Experience with data pipeline orchestration tools (e.g., Airflow, AWS Step Functions).
· Solid understanding of data modelling, warehousing, and ETL/ELT concepts.
· Knowledge of version control systems (Git) and CI/CD practices.
· Excellent problem-solving and communication skills.
Face to Face Interview on 27-Jun-26 (Saturday)
Job ID: 150649449
Skills:
bedrock , S3, Ssrs, AWS Glue, Tableau, Lambda, Azure Synapse Analytics, Sns, Excel, Power Bi, Redshift, Sql, Azure Sql, Azure Data Factory, Cloudwatch, Ssas, Sqs, Iam, Event Bus, Function Apps, Secrets Manager, Amazon QuickSight, EventBridge, Azure Dataflow, Step Functions, Logic Apps, Azure Blob Storage, Key Vaults, SageMaker, Lake Formation, Microsoft Azure BI solutions, Athena
Skills:
Data Modeling, Pyspark, Data Warehousing Concepts, Sql, Azure Synapse Analytics, Databricks, Python, ETL ELT Development, Performance Optimization and Troubleshooting, CI CD and DevOps practices, Delta Lake, Microsoft Fabric
Skills:
Python, Pyspark, Sql, Azure Devops
Skills:
Data Engineer, Python, Sql, Pandas, BigQuery, Etl, Docker, Polar
Skills:
Cloud, Pyspark, Apache Spark, Python, Sql
