Assistant Manager | Data Engineering | Bengaluru | Engineering as a Service/ Operate
Deloitte Advisory29 days ago
Bengaluru, IndiaStaff+
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 proofs of concept.
- Design secure and scalable data storage architectures using AWS, Azure, or Google Cloud Platform.
- Build and optimize ETL/ELT pipelines using Apache Spark, Databricks, AWS Glue, Azure Data Factory, or similar technologies.
- Develop data transformation and processing workflows using 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 support reliable analytics.
- Lead and mentor 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.
Requirements
- At least 5 years of hands-on experience in data engineering and cloud-based data solutions.
- Strong expertise in AWS, Azure, or Google Cloud Platform and 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 using AWS Lambda, Azure Functions, or 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 experience with AWS Lake Formation, Azure Purview, or Google Data Catalog.
- Cloud certifications in AWS, Azure, or GCP are preferred.
- Experience with CI/CD pipelines and DevOps practices is preferred.
- Education includes BE, ME, B.Tech, M.Tech, BCA, MCA, BSc, or MSc.
Tech Stack
Amazon RedshiftApache SparkAWSAzureDatabricksDockerGoogle BigQueryGoogle Cloud PlatformJavaKubernetesPythonScalaSQL
Categories
Data Engineering
About Deloitte Advisory
Deloitte Advisory provides consulting and managed services that help organizations manage risk, strengthen controls, investigate fraud, meet regulatory requirements, and execute transactions using analytics and industry expertise. Offerings span cybersecurity, M&A due diligence, finance and regulatory transformation, internal audit, and tech-enabled platforms. It is part of Deloitte’s global network (founded in 1845 and privately held), with U.S. member-firm teams serving corporations and government agencies across sectors.