Data Engineering, DataBricks
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Job Summary
Data Engineer Tech Lead Experience 1013 Years Key Responsibilities We are looking for a highly skilled Data Engineer Tech Lead with strong expertise in AWS Databricks PySpark ETL and Delta Live Tables (DLT). The candidate should be capable of understanding business requirements interacting directly with clients proposing scalable data architectures and driving solution discussions to build client confidence. Design and implement scalable data engineering solutions on AWS and Databricks. Develop and optimize ETL/ELT pipelines using PySpark and DLT. Lead architecture discussions and recommend best-fit data with business stakeholders and clients to understand requirements and translate them into technical solutions. Drive technical conversations solution presentations and client engineering teams and ensure best practices in data engineering and cloud performance scalability security and reliability of data platforms. Strong hands-on experience in AWS Databricks PySpark ETL and Delta Live Tables (DLT). Good understanding of modern data lakehouse architecture. Experience in data modeling orchestration and pipeline optimization. Strong communication and stakeholder management skills. Ability to lead client discussions and provide solution-oriented approaches. Experience in Agile delivery and team leadership. Exposure to CI/CD DevOps and data governance frameworks. Relevant AWS or Databricks certifications are a plus.
Required Experience:
IC
About Company
At Virtusa, we are builders, makers, and doers. Digital engineering is in our DNA. It’s at the heart of everything we do.
