Deloitte—Assistant Manager | Data Engineering | Bengaluru | Engineering as a Service/ Operate

Job description

Description: Job Title: Data Engineering Lead Location: Bengaluru Experience: 8 Years About the Role We are looking for a hands-on Data Engineering Lead to lead the design, implementation, and delivery of large-scale cloud-based data engineering solutions. The ideal candidate will have strong expertise in data lakes, cloud platforms, ETL/ELT pipelines, and modern data architecture while managing technical teams and client engagements from pre-sales through project delivery. Key Responsibilities - Lead the design and implementation of scalable cloud-based data engineering solutions and data lakes. - Drive pre-sales activities, including client discussions, solution design, technical proposals, and Proof of Concepts (PoCs). - Design secure and scalable data storage architectures using AWS, Azure, or GCP. - Build and optimize ETL/ELT pipelines using Apache Spark, Databricks, AWS Glue, Azure Data Factory, or similar technologies. - Develop efficient data transformation and processing workflows using serverless technologies such as AWS Lambda, Azure Functions, or Google Cloud Functions. - Implement data governance, security, and data quality frameworks. - Collaborate with data scientists, BI teams, and business stakeholders to enable reliable analytics. - Lead and mentor a team of data engineers throughout the project lifecycle. - Optimize cloud infrastructure, storage, and processing costs while maintaining performance and reliability. - Ensure successful project delivery aligned with client and business objectives. Required Skills - 5+ years of hands-on experience in Data Engineering and cloud-based data solutions. - Strong expertise in AWS, Azure, or Google Cloud Platform. - Experience designing and implementing Data Lakes. - Hands-on experience with Apache Spark, Databricks, AWS Glue, Azure Data Factory, or similar ETL tools. - Experience with serverless computing (AWS Lambda, Azure Functions, Google Cloud Functions). - Strong understanding of data governance, data quality, security, and compliance. - Experience with Docker and Kubernetes. - Strong programming skills in SQL, Python, Scala, or Java. - Experience with cloud data warehouses such as Amazon Redshift, Google BigQuery, or Azure Synapse. - Proven leadership experience managing technical teams and delivering projects from pre-sales through implementation. - Excellent communication and stakeholder management skills. Preferred Qualifications - Experience with AWS Lake Formation, Azure Purview, or Google Data Catalog. - Cloud certifications (AWS, Azure, or GCP). - Experience with CI/CD pipelines and DevOps practices. Education : BE/ME/B.Tech/M.Tech/BCA/MCA/Bsc/Msc