We are looking for Big Data Engineer's to help design, build, and scale production-grade data platforms on AWS. This is a highly hands-on engineering role for someone who can lead technical decisions while remaining deeply involved in development, architecture, code reviews, and production delivery.

What Youll Do
Design and build scalable ETL and data pipelines using Python, Spark, AWS Glue, and Amazon EMR.
Develop large-scale S3 data lakes and lakehouse architectures supporting batch and CDC ingestion.
Build solutions using Step Functions, Athena, Redshift/Spectrum, Lambda, SQS, SNS, Kinesis, and MSK.
Lead technical design, architecture, and code reviews while partnering closely with engineering teams.
Drive production readiness across reliability, observability, data quality, performance, and cost optimization.
Optimize distributed data workloads operating at multi-terabyte scale.

What We’re Looking For




Expert-level Python and robust SQL.
Deep hands-on experience with Apache Spark/PySpark, including Spark internals and performance tuning.
Solid AWS experience, particularly Glue, EMR, S3, and Step Functions.
Experience with Parquet, ORC, Avro, Iceberg, Hudi, and Delta Lake.
Robust understanding of dimensional modeling, lakehouse, and medallion architectures.
Experience with Terraform, AWS CDK, CloudFormation, CI/CD, Git, and Docker.
Proven ability to deliver and support complex, production-grade data solutions.

Preferred
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
AWS certifications.
Experience leading architecture decisions and mentoring engineering teams.

📌 Big Data Engineer Hyderabad
🏢 HNM Systems
📍 Hyderabad