A
Agilisium
Walk-in || Aws Data Engineer
Skills
SQL QueriesData EngineeringPythonAWS LambdaAmazon RedshiftDatabricksGitAWSPySparkApache Airflow
1 month ago
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Important information
Contract type:
Permanent
Location:
Chennai, Tamil Nadu, India
Work mode:
Onsite
Published on:
14 September 2026
What they need
Role & responsibilities
- Proven experience as a Data Engineer (typically 4-6 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
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