Creative Data Solutions Specialist

1 week ago

Palakkad, Kerala, India beBeeDataEngineer Full time ₹ 12,00,000 - ₹ 21,00,000
Job Title

A highly skilled Data Engineer is required to work on a project with a focus on integrating and processing channel activity data from multiple sources.

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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) 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.

Skills & Experience Required:

  • 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.

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.

Requirements:

  • Proven experience working as a Data Engineer in greenfield environments.
  • Hands-on experience with Pyspark, Glue, EMR, Lambda, Redshift, Athena, and other AWS services.

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