Lead Data Engineer

Job Brief:

Hiring a Lead Data Engineer with strong hands-on experience in Python, data analytics, and modern data platforms. The ideal candidate should be well-versed in designing and maintaining ETL pipelines, integrating APIs, and working with various database systems. The role requires a deep understanding of end-to-end data engineering workflows and collaboration within agile environments.

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Job Description:

• 6+ years of experience working in Python and data analytics

• Knowledge of the latest data analytics tech stack, including Python, web, and SQL databases

• Experience in consuming SOAP, REST APIs, and using tools like SOAP UI

• Well-versed with databases such as PostgreSQL, MongoDB, MySQL, SQL Server, etc.

• Strong understanding of ETL processes and data pipeline development

• Familiarity with DevOps and software development integration

• Working knowledge of Agile, Agile SAFe, and Kanban methodologies

• Must have excellent documentation skills

• Hands-on experience with API frameworks

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Good to Have:

• Cloud experience – Azure (preferred), or AWS, or GCP

• Knowledge of Big Data technologies

• Experience with Google Analytics, Social Media Analytics, and Azure-based analytics

• Exposure to Databricks and modern cloud-based data engineering tools