Senior Digital Channel Data Architect

1 week ago

Bengaluru, Karnataka, India beBeeDataEngineer Full time ₹ 20,00,000 - ₹ 25,00,000

Job Title:

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  • ">
  • Design and Build Data Pipelines">
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As a Data Engineer, you will be responsible for designing, building, and maintaining robust data pipelines for processing channel activity data. This includes integrating multiple sources of data such as Hadoop and Terradata.

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Key Responsibilities:

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  1. ">
  2. Design, build, and maintain data pipelines for processing channel activity data">
  3. Work on AWS cloud infrastructure and orchestration tools like Airflow to ensure high availability, scalability, and performance">
  4. Leverage Python for building automated data engineering solutions and data transformations">
  5. Collaborate with cross-functional teams to ensure data from various digital channels is effectively ingested and processed">
  6. Contribute to architecture decisions related to data lakes, data warehouses, and big data ecosystems">
  7. Ensure data quality, governance, and integrity across all data systems">
  8. Engage in continuous learning and adapting of new technologies and industry best practices to improve data processes">
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Requirements:

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  • Experience with Data Engineering: Proven experience working as a Data Engineer in greenfield environments">
  • AWS: Strong hands-on experience with AWS technologies">
  • 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">
  • Problem Solving: Strong problem-solving skills and ability to handle complex data-related challenges">
  • Communication: Excellent communication skills for documentation and collaboration">
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Benefits:

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  • ">
  • Competitive salary and benefits package">
  • Opportunity to work with cutting-edge technologies and innovative projects">
  • Collaborative and dynamic work environment">
  • Professional growth and development opportunities">
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Other Opportunities:

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  • Chance to work on a project with a focus on integrating and processing channel activity data from multiple sources">
  • Opportunity to contribute to architecture decisions related to data lakes, data warehouses, and big data ecosystems">
  • Ability to work closely with cross-functional teams including business analysts, data scientists, and stakeholders">
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