Cloud Data Architect

12 hours ago

Gandhinagar, Gujarat, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,50,00,000
Job Title:

Data Engineering Professional - Cloud Expert

Job Description:

We are seeking a skilled Data Engineer with experience in digital channel activities, data engineering, and cloud technologies, particularly in AWS. This is an exciting opportunity to work on a project that focuses on integrating and processing channel activity data from multiple sources.

The ideal candidate will possess strong knowledge of AWS, Python, and have work experience in handling data from various sources such as Hadoop, and Terradata. They will also have experience working on large-scale data engineering solutions for data, and knowledge of data processing architecture.

Main Responsibilities:

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

Key Skills & Qualifications:

  • 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.
  • 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.

Bonus Points:

  • 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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