Senior Data Engineer :: AWS + Python + Scala || WFO_5Days

We are seeking a Senior Data Engineer with 5+ years of experience in designing and building scalable data platforms, ETL pipelines, and data warehousing solutions. The ideal candidate will have strong expertise in distributed data processing, cloud technologies, and software engineering best practices.

Key Responsibilities:

• Design, develop, and maintain scalable ETL/ELT pipelines.
• Build and optimize data warehouses, data lakes, and data models.
• Develop highly available data ingestion and processing systems for large datasets.
• Collaborate with cross-functional teams to deliver data solutions.
• Ensure data quality, performance, reliability, and scalability.

Required Skills:

• 7+ years of Data Engineering experience.
• Strong experience in Data Modeling, Data Warehousing, and ETL development.
• Proficiency in Python, Java, Scala, or NodeJS.
• 3+ years of SQL experience.
• Experience building and operating distributed data systems.

Preferred Skills:

• AWS technologies: Redshift, S3, Glue, EMR, Kinesis, Firehose, Lambda, IAM.
• Workflow orchestration tools such as Airflow and AWS Step Functions.
• Experience with NoSQL databases and data stores.
• Understanding of SDLC, CI/CD, code reviews, testing, and software architecture best practices.

Preferred Candidate Profile: A hands-on Data Engineer with strong AWS data platform experience, capable of delivering scalable, reliable, and efficient data solutions in a fast-paced environment.

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