Lead Data Engineer - SQL, ETL development, Python,

Job Description

Duties & Responsibilities Lead, Design, build, and maintain robust ETL pipelines for structured and unstructured data. Develop and optimize SQL queries for data extraction, transformation, and reporting. Automate workflows and business processes using Power Automate. Create interactive dashboards and reports using Power BI to support business insights. Write efficient and reusable Python scripts for data manipulation, integration, and automation. Implement shell scripts for data orchestration and system-level automation. Collaborate with cross-functional teams to understand data requirements and deliver scalable solutions. Integrate and experiment with Generative AI tools to enhance data workflows and analytics capabilities. Ensure data quality, integrity, and security across all data platforms. Requirements Basic Qualifications Bachelor?s or Master?s degree in Computer Science, Information Systems, or related field 8 years of hands-on experience in SQL, ETL development, Python, and Shell Scripting. Proficiency in Power BI for data visualization and reporting. Experience with Power Automate for workflow automation. Familiarity with Generative AI concepts and tools (e.g., OpenAI, Azure AI, etc.). Strong problem-solving skills and attention to detail. Excellent communication and collaboration abilities. Bachelor?s or Master?s degree in Computer Science, Engineering, or related field. Ability to lead projects and deliver results in a fast-paced environment Proficient understanding of code versioning tools, such as Git / SVN Preferred Qualifications Experience with cloud data platforms (Azure, AWS, GCP) Familiarity with data warehousing concepts and tools (e.g., Snowflake) Certification in Power BI, Excel, or related technologies