Cloud Native Data Architect

2 days ago

Hyderabad, Telangana, India beBeeDataEngineer Full time ₹ 15,00,000 - ₹ 26,10,000
Job Opportunity

As a senior data engineer, you will design, build, and maintain scalable cloud-native data pipelines using AWS. Your expertise in ETL/ELT workflows using Glue, Pyspark, and Python will drive the development of efficient data processing solutions.

You will work closely with cross-functional teams to optimize data modeling, partitioning, and querying strategies. With hands-on experience implementing best practices with AWS Glue, Glue data catalog, and PySpark, you will contribute to the creation of high-quality, scalable data systems.

  • Design and develop data pipelines using AWS services such as Aurora PostgreSQL RDS, Glue, S3, IAM, EC2, Lambda.
  • Develop ETL/ELT workflows using Glue, Pyspark, and Python.
  • Optimize data modeling, partitioning, and querying strategies.
  • Collaborate with cross-functional teams to ensure seamless integration and delivery of projects.
Key Responsibilities
  • Design, build, and maintain scalable, cloud-native data pipelines using AWS.
  • Develop ETL/ELT workflows using Glue, Pyspark, and Python.
  • Optimize data modeling, partitioning, and querying strategies.
Requirements
  • Bachelor's degree in computer science or engineering.
  • 5-7 years of experience in data engineering.
  • Strong expertise in cloud development, particularly with AWS services.
  • Hands-on experience implementing best practices with AWS Glue, Glue data catalog, and PySpark.
  • Proficient in PySpark and Python and expertise in SQL.
Preferred Skills
  • Knowledge of various ETL services used by cloud providers.
  • Proficient in SQL for analytics and windowing functions.
  • Understanding of data schemas and models.
  • Familiarity with domain-related data.
  • Knowledge of data warehouse optimization techniques.
  • Understanding of data security concepts.

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