Digital Channel Data Specialist

12 hours ago

Kurnool, Andhra Pradesh, India beBeeDataEngineering Full time ₹ 2,00,00,000 - ₹ 2,50,00,000

About the Role:

We are seeking a highly skilled professional to 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.

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:

  • Experience with Data Engineering: Proven experience working as a Data Engineer in greenfield environments (i.e., starting projects from scratch).
  • 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.
  • Communication: Excellent communication skills, both written and verbal, for documentation and collaboration.

Preferred Qualifications:

  • A degree in Computer Science, Engineering or a related field.
  • Certifications or experience in AWS Cloud or relevant data engineering tools would be beneficial.
  • Experience in working on snowflake would be good to have.
  • Knowledge of ingesting real-time data (Apache Kafka) would be advantageous.

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