ETL Developer(Python)

As a Development Lead, you will drive the end-to-end lifecycle of data ingestion, transformation, and distribution. You will provide onsite presence and technical leadership to offshore team, enforce best practices for code quality and testing, collaborate with enterprise architects to align data pipelines with critical business intelligence and analytics requirements. You will also be working hands-on developing critical data pipeline artefacts. This role requires working from Client location in Orlando from Mon-Thu and can work remotely on Fri., * Develop data/ETL pipelines and assess review the artefacts generated by a team of Data Engineers working from Offshore. Conduct code reviews, facilitate agile ceremonies, and oversee project delivery timelines.

• Design scalable, robust, and fault-tolerant batch and real-time data ingestion pipelines. Establish coding standards and integration design patterns.
• Oversee the Extraction, Transformation, and Loading (ETL) or Streaming Data processes across heterogeneous source systems (e.g., APIs, relational databases, flat files, and cloud storage) to centralized data warehouses and data lakes.
• Implement data profiling, Data reconciliation processes, validation frameworks, and automated testing procedures to ensure data integrity, consistency, and compliance.
• Partner with data architects, Data admins, product owners, and business analysts to translate complex business requirements into technical specifications.
• Troubleshoot critical data pipeline bottlenecks, optimize SQL queries, and manage incident resolution.

Software Engineering, Database Extract Transform and Load (ETL), Python Programming/Scripting Language, Professional Services, Artificial Intelligence (AI), Business Process Management, Workforce Management, Business Transformation, Operational Strategy, Database Extract Transform and Load (ETL), * Bachelor s degree in computer science, Information Technology, or a related field.

• 6+ years of experience in data warehousing, data engineering, or ETL/ELT development, with at least 1 2 years in a technical lead or senior engineering capacity.
• Advanced proficiency in SQL and scripting languages like Python or Java.
• Hands-on experience with modern data integration platforms (e.g., AWS Glue, Apache Spark, or Kafka).
• Deep understanding of data modeling (snowflake schemas), real-time streaming architectures, and performance tuning large datasets.
• Exceptional communication, stakeholder management, and project management capabilities.

Strong Key Skills

• Python, Snowflake/Snow Sql, SQL, Good communication

TekWissen is a global workforce management provider headquartered in Ann Arbor, Michigan that offers strategic talent solutions to our clients world-wide. Our client is a global professional services firm specializing in digital transformation, business process management (BPM), analytics, and AI-driven solutions. The company partners with organizations to improve efficiency, transform operations, and drive business outcomes through a combination of process expertise, technology, and data insight., TekWissen Group is an equal opportunity employer supporting workforce diversity.