DataEngineer-TechnicalLead

The purpose of this role is to maintain, improve, clean and manipulate data in the business’s operational and analytics databases. The Data Engineer works with the business’s software engineers, data analytics teams, data scientists and data warehouse engineers in order to understand and aid in the implementation of database requirements, analyse performance, and troubleshoot any existent issues. **Job Description:** **Business Title** Data Engineer-Technical Lead **Years of Experience** Min 6 and max upto 10. **Job Description:** Technical Lead with strong hands‑on experience in cloud-based data platforms (AWS, Azure, GCP) to design, develop, and optimize scalable data solutions. This role focuses on building robust data pipelines, implementing modern data platforms, contributing to solution designs, and supporting pre‑sales and client discussions. The ideal candidate is a seasoned developer who can work independently on complex data engineering problems while collaborating closely with architects, stakeholders, and junior engineers. **Must have skills:** Core Technical Skills 7–10 years of hands‑on experience in data engineering and development roles. Strong hands-on experience with AWS and/or Azure and/or GCP data services such as BigQuery, Synapse, Redshift, Databricks, etc. Any 2 cloud experience is mandatory. 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. Extensive experience working with SaaS-based data platforms (e.g., Databricks, Snowflake, managed analytics services). 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. Basic exposure to Agentic AI concepts, such as AI-driven automation,