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AWS Data Engineer

2 weeks ago

Hyderabad, Telangana, India beBeeData Full time ₹ 1,80,00,000 - ₹ 2,10,00,000
Job Title">

About the Opportunity:

">
  • ">
  • Design and implement data pipelines on Amazon Web Services (AWS)">
  • Develop robust solutions for data ingestion, transformation, and analytics">
">

Key Responsibilities:

">Data Engineering">
  1. ">
  2. Design and build scalable and fault-tolerant ETL/ELT data pipelines on AWS using services like Glue, Step Functions, Lambda, Batch, and Apache Airflow">
  3. Develop data transformation logic to clean, enrich, and prepare data for analytical consumption">
  4. Implement data models and schemas for both transactional and analytical workloads">
">AWS Data Services Expertise">
  1. ">
  2. Proficiently utilize and optimize core AWS data services such as S3, Redshift, RDS, DynamoDB, Kinesis, Athena, and IAM">
  3. Implement effective security measures and access controls in alignment with AWS best practices">
  4. Leverage Lake Formation for managing data access and security within the data lake">
">Programming & Scripting">
  1. ">
  2. Develop and optimize code in Python and/or Scala/Java for data processing, automation, and custom AWS Lambda functions">
  3. Write and optimize complex SQL queries for data extraction, manipulation, and analysis">
">Performance Optimization & Troubleshooting">
  1. ">
  2. Monitor, troubleshoot, and optimize data pipelines and data processing jobs to ensure high performance, reliability, and data quality">
  3. Identify and resolve performance bottlenecks in data loads, queries, and documentation">
">Collaboration & Documentation">
  1. ">
  2. Collaborate closely with data scientists, data analysts, business intelligence developers, and other engineering teams to understand data requirements and deliver appropriate solutions">
  3. Create and maintain comprehensive technical documentation for data pipelines, data models, and AWS infrastructure">
">

Requirements

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  • ">
  • 5-10 years of professional experience in Data Engineering, with a significant focus on AWS data services">
  • Proven hands-on experience in designing, building, and maintaining ETL/ELT pipelines on AWS">
  • Strong proficiency in Python and SQL">
  • Experience with distributed computing principles and big data processing using Apache Spark">
  • Excellent analytical, problem-solving, and debugging skills">
  • Strong communication (written and verbal) and interpersonal skills, with the ability to explain complex technical concepts clearly">
">

What We Are Looking For

">
  • ">
  • Candidates who are proactive, adaptable, and eager to contribute from day one">
  • Individuals with a strong sense of ownership and a commitment to delivering high-quality solutions">