Cloud Data Architect

4 days ago

Dindigul, Tamil Nadu, India beBeeDataEngineering Full time ₹ 1,20,00,000 - ₹ 1,50,00,000

We are seeking a Data Engineering professional with experience in digital channel activities, data engineering, and cloud technologies.

The ideal candidate will possess strong knowledge of AWS, Python, and has work experience in handling data from various sources such as Hadoop, Terradata, working on large-scale data engineering solutions for data, and knowledge of data processing architecture.

Key Responsibilities:
  • Design, build, and maintain robust data pipelines for processing channel activity data, focusing on digital channels and integrating multiple sources of data.
  • Work on AWS cloud infrastructure (including services like PySpark, Glue, EMR, Lambda, Redshift, Athena, and other services) and orchestration tools like Airflow to ensure high availability, scalability, and performance.
  • Leverage Python for building automated data engineering solutions and data transformations.
  • Collaborate with cross-functional teams to ensure data from various digital channels is effectively ingested and processed.
  • Contribute to architecture decisions related to data lakes, data warehouses, and big data ecosystems.
  • Ensure data quality, governance, and integrity across all data systems.
Requirements:
  • AWS: Strong hands-on experience with AWS technologies such as PySpark, Glue, EMR, Lambda, Redshift, Athena, EC2, and S3.
  • Python: Proficiency in Python for data processing, automation, and pipeline development.
  • Big Data Platforms: Experience with big data technologies like Hadoop and Terradata.
  • Strong Analytical Skills: Ability to analyse and interpret data from different digital channels.
  • Collaboration: Ability to work closely with cross-functional teams, including business analysts, data scientists, and stakeholders.
  • Problem Solving: Strong problem-solving skills and ability to handle complex data-related challenges.

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