Digital Cloud Data Architect

1 week ago

Bengaluru, Karnataka, India beBeeData Full time ₹ 1,80,00,000 - ₹ 2,50,00,000

Job Summary: We have an immediate opportunity for a Senior Data Engineer to work on a project that involves integrating and processing channel activity data from multiple sources, including Terradata and Hadoop environments.

Job Description:

We are seeking a highly skilled Data Engineer with experience in digital channel activities, data engineering, and cloud technologies, particularly in AWS. The ideal candidate will possess strong knowledge of AWS, Python, and has work experience in handling data from various sources such as Hadoop and 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 such as Hadoop and Terradata.
  • Work on AWS cloud infrastructure (including services like PySpark, Glue, EMR, Lambda, Redshift, Athena, and other services like Iceberg) 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.
  • Engage in continuous learning and adapting of new technologies and industry best practices to improve data processes.

Requirements:

We are looking for a highly skilled Data Engineer with the following qualifications:

  • 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 analyze 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.
  • Communication: Excellent communication skills, both written and verbal, for documentation and collaboration.

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