Location: Bangalore (Onsite)

Experience: 4+ Years

Employment Type: Full-Time

We are looking for an experienced Data Engineer with strong hands-on expertise in Python, PySpark, and AWS Cloud services. The ideal candidate will play a key role in building scalable, productive, and reliable data pipelines and supporting data infrastructure for analytics and reporting.

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Design, build, and maintain scalable data pipelines using PySpark and Python

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Develop and optimize ETL workflows to process structured and semi-structured data

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Work with large datasets stored on AWS S3, and process them using Glue, EMR, or Lambda

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Collaborate with Data Scientists, Analysts, and Product teams to define data needs and deliver quality solutions

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Ensure data quality, integrity, and consistency across systems

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Manage orchestration using AWS Step Functions, Glue Workflows, or Airflow

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Monitor and optimize performance of pipelines, storage,



and compute resources

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Participate in data modeling, schema design, and documentation

Required Skills:

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4+ years of experience as a Data Engineer or similar role

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Strong programming skills in Python with experience in writing clean, scalable code

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Hands-on experience with PySpark and distributed data processing

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Proficient in AWS services: S3, Glue, EMR, Lambda, Athena, Redshift

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Good understanding of SQL and working with relational databases

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Familiarity with DevOps tools (Git, CI/CD) and job scheduling/orchestration tools

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Strong problem-solving skills and attention to detail

Educational Qualification:

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Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field

📌 StatusNeo-Data Engineer (Bengaluru)
🏢 Important Business
📍 Bengaluru