AWS Data Engineer
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Location
In office (Hyderabad)
Experience
2+ years exp
First seen by Alion on Nov 10, 2026.
Overview
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PalTech is a technology company that architects modern data solutions across cloud platforms such as Databricks, Snowflake, BigQuery and Microsoft Fabric. Its enterprise data architects build ETL and ELT pipelines, data lakes and data warehouses. The company is based in Hyderabad, India.
Key Responsibilities:
- Develop and maintain data pipelines using PySpark and AWS Glue.
- Build serverless data processing solutions using AWS Lambda.
- Design and optimize data storage and analytics solutions on S3, Athena, Redshift, and DynamoDB.
- Implement ETL/ELT processes for data ingestion and transformation.
- Ensure data quality, performance, and reliability across data platforms.
- Collaborate with cross-functional teams to understand and deliver business requirements.
- Monitor, troubleshoot, and support production data workflows.
Required Skills:
- Strong experience with Python and PySpark.
- Strong expertise of optimizations.
- Hands-on experience with AWS Glue, Lambda, S3, Athena, Redshift, and DynamoDB.
- Strong SQL and data analysis skills.
- Experience building and optimizing large-scale data pipelines.
- Good understanding of data warehousing and data lake concepts.
Good to Have:
- Experience with Git and CI/CD pipelines.
- Knowledge of Infrastructure as Code (Terraform or CloudFormation).
- Experience with data quality and data governance frameworks.
- AWS certifications.
- Exposure to real-time or event-driven data processing solutions.
Skills
AWS, ELT, ETL, PySpark, Python, SQL
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