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This is a remote position.

Summary:

Role: Senior Data Engineer

Experience: 8+ Years

Mandatory/Core: Python, PySpark, Snowflake, dbt, Apache Iceberg, AWS, SQL

Preferred: AWS Glue, S3, EMR, Lambda, Airflow, Snowpipe/Snowpark, CI/CD, Terraform, Data Modeling

Role Type: Senior hands-on Data Engineer

Focus: Cloud Data Engineering, Lakehouse, Data Transformation, Performance Optimization and Production Engineering

Detailed information:

Senior Data Engineer:

Experience: 8+ years of overall Data Engineering experience , with robust hands-on experience building enterprise-scale cloud data platforms and pipelines.

Primary Skills:

- Python

- PySpark / Apache Spark

- Snowflake

- dbt (Data Build Tool)

- Apache Iceberg

- AWS Data Services

- Advanced SQL





- Data Engineering / ETL / ELT

- Data Lake / Lakehouse architecture

Secondary / Preferred Skills:

- AWS services such as:

- S3

- AWS Glue

- EMR

- Lambda

- Step Functions

- CloudWatch

- IAM

- Apache Airflow or other workflow orchestration tools

- Snowflake performance optimization and cost optimization

- Snowpipe / Snowpark

- Spark performance tuning

- Data modeling and dimensional modeling

- Parquet and other columnar data formats

- Data quality frameworks and automated validation

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Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Senior Data Engineer (India)
🏢 SRM Technologies
📍 India