Maintain, improve, clean and manipulate data in the operational and analytics databases.
Work with software engineers, data analytics teams, data scientists and data warehouse engineers.
Design, develop, and optimize scalable data solutions focusing on building robust data pipelines.
Contribute to solution designs, and support pre-sales and client discussions.
Implement data quality checks, governance standards, security controls, and compliance requirements.

Min 6 and max up to 10 years of experience in data engineering
Strong hands-on experience with AWS and/or Azure and/or GCP data services such as BigQuery, Synapse, Redshift, Databricks, etc.
Solid expertise in data modeling, ETL/ELT pipeline development, data warehousing, and lakehouse architectures.
Strong Python development skills for data engineering, automation, orchestration, and solution prototyping.
Experience implementing and integrating Master Data Management (MDM) solutions such as Informatica, Reltio, Profisee, or equivalent tools.
Practical knowledge of data governance, security, access control, and compliance requirements in cloud environments.
Ability to design, build, and optimize scalable and high-performance data pipelines.
Strong verbal and written communication skills to effectively collaborate with architects, QA, DevOps, and business stakeholders.

Technical Lead

Key skills