Agilisium·5 days ago
5 days ago
Data Engineer
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What you'll do
- Build and maintain data pipelines using Python, PySpark, and Databricks
- Write complex SQL queries and perform performance tuning
- Work in AWS cloud environment utilizing services such as S3, Glue, EMR, Redshift, and Lambda
- Orchestrate data pipelines using tools like Airflow and AWS Step Functions
- Apply data modelling, warehousing, and ETL/ELT concepts
- Utilize version control systems (Git) and CI/CD practices
What they're looking for
- Proven experience as a Data Engineer (typically 4 -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
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
Join our Inperson walkin Drive on 19th Sept'26,If you are excited for this role below are details for your reference We’re looking for a Data Engineer/Sr Data Engineer with strong hands-on experience in databricks, pyspark, python & sql.Wakin Date:19th Sept'26(Saturday) Walkin TIme-10.30AM-3.00PM Venue: Walkin TIme-10.30AM-3.00PM Venue:World Trade Center 1st floor of Tower B, 5/142, Rajiv Gandhi Salai, Perungudi, Chennai, Tamil Nadu 600096 Experience Range: 4-12 Years Proven experience as a Data Engineer (typically 4 -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
Company
Agilisium
Chennai, India
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