Chief Data Architect

1 day ago

Bareilly, Uttar Pradesh, India beBeeData Full time ₹ 18,00,000 - ₹ 25,00,000
Senior Data Professional

As a seasoned professional, you will play a key role in designing and developing large-scale data pipelines to support business operations.

We are looking for an experienced individual who can leverage their technical expertise to solve complex problems and drive business outcomes.

  • Design and develop robust ETL/ELT data pipelines to ingest data from various sources into our data warehouse.
  • Utilize AWS services such as AWS Lambda, AWS DMS, and AWS Glue for data ingestion and transformation processes.
  • Develop and optimize Snowflake stored procedures to implement complex business logic and data transformations.
  • Manage and monitor scheduled data workflows using Apache Airflow.
  • Work closely with stakeholders to understand project requirements and translate them into technical solutions, ensuring seamless integration with existing data pipelines.
  • Implement and maintain robust data quality checks to ensure accuracy and reliability of all delivered datasets and reports.
  • Adhere to the full project delivery lifecycle, including requirements gathering, design, implementation, documentation, and obtaining user acceptance testing (UAT) approvals.
  • Deliver data sets to other AWS accounts and support the creation of Power BI reports.

Requirements:

  • Proven experience as a Senior Data Engineer or in a similar role.
  • Strong proficiency in SQL scripting.
  • Proficiency in Python for data manipulation and automation.
  • Experience with Apache Airflow for workflow orchestration.
  • Hands-on experience with AWS Cloud services, including Lambda, DMS, and Glue.
  • Solid understanding of data warehousing concepts, with practical experience using Snowflake.
  • Excellent problem-solving skills and the ability to design and implement solutions based on business requirements.
  • Experience with the full software development lifecycle (SDLC) and project documentation.
  • Familiarity with data quality best practices.
  • Strong communication and collaboration skills.

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