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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:
Apache Flink, Docker, Kubernetes, Python, Sql, Vertex AI
Skills:
Java, Cloud Storage, BigQuery, Pyspark, Apache Spark, DataFlow, Python, Sql, Pub Sub
Skills:
Github, Sql, Azure Synapse, Apache Spark, Scala
Skills:
snowflake , Pyspark, Sql, ELT, Git, Gcp, Docker, Spark, Databricks, Azure, Python, AWS, Etl, Airflow, CI CD, lakehouse data platform architecture
Skills:
snowflake , Pyspark, Sql, Databricks, Python, LangChain, Databricks AI Gateway, GCP AI, Hugging Face, MLflow, Claude, LLaMA 2, Unity Catalog, ONNX, LangGraph, OpenAI Agents SDK, OpenTelemetry, Azure AI, Gemini, GPT-4
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