Inperson Walkin Drive on 15th Nov'25 @ Chennai For AWS Data Engineer

Agilisium

5 - 9 years

12 - 22 Lacs

hyderabad chennai

Posted:2 hours ago| Platform:

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Skills Required

pyspark aws data bricks python sql airflow glue amazon redshift aws data engineer

Work Mode

Work from Office

Job Type

Full Time

Job Description

Role & responsibilities

Design, develop, and maintain scalable and efficient data pipelines for batch and real-time processing.
Work extensively with Databricks and PySpark to process and transform large datasets.
Write complex and optimized SQL queries for data extraction, transformation, and analysis.
Develop robust ETL/ELT processes to integrate data from various structured and unstructured sources.
Collaborate with data scientists, analysts, and business stakeholders to ensure reliable and accessible data.
Implement best practices for data quality, governance, and security on the AWS cloud platform.
Monitor and troubleshoot data workflows to ensure high availability and performance.
Contribute to the automation of data processes and CI/CD integration.

Preferred candidate profile

Proven experience as a Data Engineer (typically 4-8 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 modeling, 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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