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Big Data Engineer

Big Data Engineer

People Prime WorldwideHyderabad, Telangana, India
4 days ago
Job description

About the Company

Our client is a trusted global innovator of IT and business services, present in 50+ countries. They specialize in digital & IT modernization, consulting, managed services, and industry-specific solutions. With a commitment to long-term success, they empower clients and society to move confidently into the digital future.

Position : Data Engineer

Experience : 6+ Years

Location : Hyderabad

Employment Type : Full-time

About the Role

We are looking for a highly skilled Data Engineer with 6+ years of experience in designing and building scalable data pipelines, big data processing solutions, and cloud-based data platforms. The ideal candidate will have strong expertise in Big Data technologies, PySpark, Python, AWS, and Snowflake , and will work closely with data architects, analysts, and business stakeholders to deliver efficient, reliable, and high-performance data solutions.

Key Responsibilities

  • Design, develop, and maintain scalable and high-performance ETL / ELT pipelines using PySpark, Python, and SQL.
  • Build and optimize Big Data processing workflows using Spark, Hive, and other distributed data frameworks.
  • Develop ETL / ELT frameworks and workflows on AWS cloud using services such as S3, Glue, EMR, Lambda, Step Functions, and Redshift.
  • Implement and maintain enterprise-grade Snowflake data models, warehouses, data sharing, and performance tuning.
  • Collaborate with data architects to design end-to-end data architecture, ensuring scalability, security, and reliability.
  • Perform data ingestion, transformation, quality validation , and metadata management across various structured and unstructured data sources.
  • Build CI / CD pipelines for data applications using tools like Git, Jenkins, or AWS CodePipeline.
  • Monitor and optimize data pipelines for cost efficiency, performance, and reliability.
  • Troubleshoot production issues and implement solutions for long-term stability and scalability.
  • Ensure compliance with data governance, security best practices, and industry standards.

Required Skills & Qualifications

  • 6+ years of hands-on experience as a Data Engineer or similar role.
  • Strong proficiency in PySpark , Spark SQL , and Big Data processing frameworks.
  • Advanced programming skills in Python (data processing, automation, modular coding).
  • Deep experience with AWS cloud services (S3, EMR, Glue, Lambda, IAM, Redshift, Athena).
  • Hands-on experience working with Snowflake —data modeling, pipelines, SnowSQL, performance tuning.
  • Strong SQL skills with experience in optimizing complex queries.
  • Experience with workflow orchestration tools (Airflow / AWS Step Functions / Apache Oozie).
  • Knowledge of DevOps practices, CI / CD, and version control (Git).
  • Experience handling large-scale, distributed data systems in production environments.
  • Strong understanding of data warehousing, ETL / ELT patterns, and best practices.
  • Nice-to-Have Skills

  • Experience with streaming technologies (Kafka, Kinesis).
  • Knowledge of infrastructure-as-code (Terraform / CloudFormation).
  • Familiarity with data catalog and governance tools (AWS Glue Data Catalog, Collibra, Alation).
  • Exposure to ML data pipelines or MLOps frameworks.
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    Big Data Engineer • Hyderabad, Telangana, India

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