Onsite Technical Lead – Data Engineering

Posted 1 hour ago

Apply now

About the role

  • Snowflake Developer with expertise in Python and cloud-based data engineering. Responsible for designing, developing, and optimizing data solutions for enterprise-scale projects.

Responsibilities

  • Design and implement Snowflake pipelines.
  • Develop and manage Snowflake Tasks, Stored Procedures, UDFs, Tables, Snowpipe, Streams for data ingestion, transformation, and unloading.
  • Handle data flattening, filtering, and transformation within Snowflake.
  • Build and optimize ETL/ELT workflows using Azure Data Factory (ADF).
  • Integrate and manage data in Azure Data Lake.
  • Develop and maintain Azure Function Apps for custom data processing.
  • Implement CI/CD pipelines using Azure DevOps.
  • Work with XML and JSON file formats for data ingestion and transformation.
  • Ensure data security, governance, and compliance across all platforms.

Requirements

  • 8 - 10 Years of experience
  • Strong hands-on experience with Snowflake Cloud Data Platform (Tasks, Stored Procs, UDFs, Snowpipe, Streams)
  • Proficiency in Python, SQL and query optimization techniques
  • Experience with Azure Data Factory, Azure Data Lake, and Azure Function Apps
  • Familiarity with Azure DevOps for CI/CD and deployment automation
  • Strong understanding of ETL/ELT processes and data integration patterns
  • Experience working with XML and JSON data formats
  • Knowledge of data modeling concepts (Star/Snowflake schema)
  • Understanding of data governance and security best practices.

Benefits

  • Health insurance
  • Flexible work arrangements
  • Professional development opportunities

Job title

Technical Lead – Data Engineering

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

Report this job

See something inaccurate? Let us know and we'll update the listing.

Report job