- Expected Joining Time: Immediate
- Job Role and Designation: Lead Data Engineer
- Experience Level: 10+ years
- No. of Positions: 1
About The Role
We are looking for a seasoned Lead Data Engineer with hands-on experience in Azure Data Factory, Databricks, and Python to lead data engineering initiatives for a major banking client. This is a leadership role requiring deep technical expertise and the ability to guide a team while collaborating with stakeholders to design scalable and efficient data solutions.
Key Responsibilities
- Lead the development and optimization of data pipelines on Azure (Data Factory, Databricks).
- Architect and implement data lakehouse solutions, ensuring data quality, performance, and reliability.
- Drive data integration, transformation, and ingestion strategies across systems.
- Collaborate with cross-functional teams to gather requirements and convert them into scalable data solutions.
- Mentor and guide junior engineers, promote best practices, and conduct code reviews.
- Support CI/CD for data workflows and contribute to automation initiatives.
- Align data architecture with business strategy and governance policies.
Required Skills
- Strong expertise in Azure Data Factory, Azure Databricks, ADLS, and Lakehouse Architecture
- Proficiency in Python, SQL, PL/SQL, and SCD implementation
- Experience with DevOps, CI/CD pipelines, Azure Synapse, and Data Architecture
- Hands-on knowledge of Banking Domain and Data Governance
- Excellent leadership, communication, and problem-solving skills
Good To Have
- Familiarity with SSIS, SSAS, TFS, Power BI, Cosmos DB, UC4
- Experience with Azure DevOps, Terraform, IaC tools
- Certifications in Data Platforms (e.g., Microsoft Certified: Azure Data Engineer Associate)
