Leading Digital Channel Solutions Specialist

6 days ago

Ghaziabad, Uttar Pradesh, India beBeeCloudDataEngineer Full time ₹ 1,20,00,000 - ₹ 1,99,99,999

Job Title: Cloud Data Engineering Specialist

Job Description:

A cloud data engineer with experience in digital channel activities, cloud technologies, and AWS is required to work on a project that focuses on integrating and processing channel activity data from multiple sources.

Key Responsibilities:

  • Design, build, and maintain robust data pipelines for processing channel activity data using Pyspark, Glue, EMR, and other AWS services.
  • Work on AWS cloud infrastructure and orchestration tools to ensure high availability, scalability, and performance.
  • Utilize 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.

Skills & Experience Required:

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 an advantage.

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