Senior Digital Data Architect

1 week ago

Lucknow, Uttar Pradesh, India beBeeData Full time ₹ 15,00,000 - ₹ 20,00,000
Job Overview

We are seeking a highly skilled Data Engineering professional to join our team and lead the design, development, and maintenance of robust data pipelines for processing channel activity data from multiple sources.

The ideal candidate will have strong hands-on experience with AWS technologies, proficiency in Python for data processing and automation, and a solid understanding of big data platforms like Hadoop and Teradata.

Key Responsibilities
  1. Design and develop scalable and efficient data pipelines using AWS services such as PySpark, Glue, EMR, Lambda, Redshift, Athena, and S3.
  2. Work closely with cross-functional teams, including business analysts, data scientists, and stakeholders, to ensure seamless integration and processing of channel activity data.
  3. Collaborate with the architecture team to contribute to architecture decisions related to data lakes, data warehouses, and big data ecosystems.
  4. Develop automated data engineering solutions and data transformations using Python, ensuring high availability, scalability, and performance.
  5. Ensure data quality, governance, and integrity across all data systems, adhering to industry best practices and continuous learning.
Requirements
  • 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 Teradata.
  • 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.
Bonus 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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