Chief Data Architect

1 week ago


Lucknow, Uttar Pradesh, India beBeeData Full time ₹ 15,00,000 - ₹ 20,00,000
Senior Data Engineer Position

We are seeking a highly skilled and experienced Senior Data Engineer to join our team. As a key member of our data engineering team, you will be responsible for designing, building, and maintaining robust, scalable, and high-quality data pipelines that support analytics and reporting needs.

Your primary focus will be on integrating structured and unstructured data from various sources into data lakes and warehouses, as well as operationalizing data solutions on cloud platforms. You will also be responsible for managing environments, performance tuning, and configuration for cloud-native data solutions.

The ideal candidate will have a strong background in data engineering, with experience in designing and implementing ETL/ELT pipelines using tools like Azure Data Factory, Databricks, Snowflake, and Azure SQL Server. They will also possess expertise in cloud platform engineering, data modeling, and architecture.

In addition to technical skills, the successful candidate will have excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams to deliver high-quality solutions.

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.

If you are a motivated and detail-oriented individual with a passion for data engineering, we encourage you to apply for this exciting opportunity.

  • Data Pipeline Design & Development: Design and implement ETL/ELT pipelines for batch and streaming data using Azure Data Factory, Databricks, Snowflake, and Azure SQL Server.
  • Cloud Platform Engineering: Operationalize data solutions on cloud platforms, integrating services like Azure, Snowflake, and third-party technologies.
  • Data Modeling & Architecture: Apply dimensional modeling, star schemas, and data warehousing techniques to support business intelligence and machine learning workflows.
  • Data Governance & Security: Evaluate and manage the data integrity, privacy, and compliance through governance practices and secure schema design.


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