Highly Skilled Data Architectural Lead

7 days ago


Thāne, Maharashtra, India beBeeData Full time ₹ 1,50,00,000 - ₹ 2,20,00,000
Job Opportunity

We are seeking a highly skilled Senior Data Engineer to join our team.

About the Role:

As a key member of our engineering team, you will be responsible for designing and implementing scalable data architectures using Azure Data Factory (ADF), Databricks, and Synapse Analytics.

Key Responsibilities:

  • Data Architecture: Develop and optimize ETL/ELT pipelines using ADF, Databricks, and Synapse Analytics.
  • Data Lake Solutions: Design and implement data lake solutions in Azure Data Lake Storage (ADLS) Gen2.
  • SQL Query Writing: Write and optimize SQL queries for data extraction, transformation, and analysis.
  • CICD Pipelines: Implement CI/CD pipelines for data workflows using Azure DevOps.
  • Collaboration: Collaborate with stakeholders to understand data requirements and ensure data availability.
  • Data Governance: Ensure data governance, security, and compliance in Azure-based data solutions.
  • Pipeline Monitoring: Monitor and troubleshoot data pipelines to maintain reliability and performance.

Required Skills and Qualifications:

You should have:

  • Azure Data Engineering: Strong experience in Azure Data Engineering with Data Factory, Synapse, Fabric, Databricks.
  • Programming Languages: Expertise in SQL, T-SQL, and Python for data processing and transformation.
  • Big Data Processing: Hands-on experience with PySpark for big data processing.
  • ETL Pipelines: Experience in designing ETL/ELT pipelines and working with large datasets.

Good-to-Have Skills:

You may also have:

  • New Age Technologies: Experience in New Age Technologies like Low Code, No Code, DevOps.
  • Data Governance: Familiarity with Data Governance and Security best practices in cloud-based data solutions.


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