Meaningful work,
meaningful life

Core Skills

Key Responsibilities:

·       Design, develop, and implement data ingestion, processing, and reporting pipelines using the Azure Data Engineering stack.

·       Lead and mentor a team of data engineers to deliver high-quality solutions.

·       Utilize Azure Data Factory, Azure Data Lake Storage Gen2 (ADLS Gen2), and Azure Synapse Analytics for data workflows.

·       Develop scripts and data transformation logic using Python and SQL.

·       Leverage Databricks and PySpark for big data processing (good to have).

·       Collaborate with stakeholders to understand business requirements and translate them into technical solutions.

·       Ensure data quality, reliability, and integrity throughout the data lifecycle.

·       Optimize and troubleshoot data pipelines for performance and scalability.

·       Document technical specifications, processes, and workflows for effective knowledge sharing.

Qualifications and Requirements:

·       8-10 years of hands-on experience in data engineering, with a strong focus on Azure technologies.

·       Proficiency in Azure Data Factory, ADLS Gen2, Azure Synapse Analytics, Python, and SQL.

·       Hands-on experience with PySpark and Databricks is highly desirable.

·       Proven experience in leading teams and managing technical delivery.

·       Strong understanding of data modeling, ETL/ELT processes, and pipeline orchestration.

·       Experience in implementing end-to-end data solutions, from ingestion to reporting.

·       Excellent problem-solving skills and the ability to troubleshoot complex issues.

·       Strong communication skills with the ability to convey technical concepts to non-technical stakeholders.

·       Bachelor's degree in Computer Science, Information Technology, or a related field.

If you are a results-oriented professional with a passion for data engineering and Azure technologies, we encourage you to apply and join our team.