Digital Channel Data Engineering Specialist

5 days ago

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

Transforming Digital Channels with Data Engineering Expertise

We are seeking a skilled Data Engineer to join our team and help us unlock the full potential of our digital channels. This is an exciting opportunity to work on a project that focuses on integrating and processing channel activity data from multiple sources, including Terradata and Hadoop environments.

The ideal candidate will possess strong knowledge of AWS, Python, and hands-on experience with big data technologies like Hadoop and Terradata. They will have a proven track record of designing, building, and maintaining robust data pipelines for processing channel activity data, working closely with cross-functional teams to ensure seamless integration and processing of data from various digital channels.

Key Responsibilities:

  • Design, build, and maintain high-performance 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, leveraging services like Pyspark, Glue, EMR, Lambda, Redshift, Athena, and other services like Iceberg 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 effective ingestion and processing of data from various digital channels.
  • 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.

Required Skills & Qualifications:

  • Experience with Data Engineering: Proven experience working as a Data Engineer in greenfield environments.
  • 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.

Desirable 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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