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Data Engineer Lead
2 weeks ago
We are seeking a highly skilled Senior Data Engineering Specialist to design and develop end-to-end data integration solutions, optimize workflows, and collaborate with stakeholders to deliver scalable and high-performing data pipelines.
Key Responsibilities:
- Design and Develop ETL/ELT Workflows: Create efficient and effective ETL/ELT workflows using Informatica IICS.
- Integrate Cloud-Based Solutions: Integrate IICS solutions with cloud-based data platforms such as Google Cloud Platform (GCP) and Google BigQuery (GBQ).
- Optimize Pipelines for Scalability and Performance: Optimize pipelines for scalability and performance to ensure seamless data flow.
- Develop Reusable Data Mappings and Task Flows: Develop reusable data mappings, task flows, and parameterized solutions to enhance efficiency.
- Manage Deployments, Migrations, and Version Control: Manage deployments, migrations, and version control of IICS assets to maintain data integrity.
- Collaborate with Business and Technical Teams: Collaborate with business and technical teams to translate requirements into data solutions.
- Perform Unit Testing, Debugging, and Troubleshooting: Perform unit testing, debugging, and troubleshooting of ETL jobs to ensure quality.
- Mentor Junior Developers: Mentor junior developers to ensure adherence to best practices and coding standards.
Required Skills & Qualifications:
- Bachelor's or Master's Degree in Computer Science, Information Systems, or Related Field: Possess a Bachelor's or Master's degree in Computer Science, Information Systems, or related field.
- 7+ Years of ETL Development Experience: Have 7+ years of ETL development experience, with 2–3 years in Informatica IICS.
- Strong SQL Skills and RDBMS Experience: Possess strong SQL skills and experience with RDBMS (Oracle, SQL Server, PostgreSQL).
- Hands-on Experience with GCP and Google BigQuery: Have hands-on experience with GCP and Google BigQuery.
- Familiarity with Data Governance, Data Quality, and Data Cataloging Tools: Familiarity with data governance, data quality, and data cataloging tools.
- Experience Integrating Data from On-Prem, SaaS Applications, and Cloud Data Lakes: Have experience integrating data from on-prem, SaaS applications, and cloud data lakes.
- Strong Problem-Solving, Debugging, and Collaboration Skills: Possess strong problem-solving, debugging, and collaboration skills.
Career Growth Opportunities:
Join us to be part of a global team driving innovation in data engineering and contribute to delivering exceptional results through strategic partnerships.
