Senior Associate | Data Engineering | Bengaluru | Engineering as a Service/ Operate
Deloitte Advisory1 month ago
Bengaluru, IndiaMid Level / Senior
Responsibilities
- Design, develop, and maintain scalable data ingestion, transformation, integration, and ETL/ELT pipelines.
- Build data models, data quality frameworks, validation processes, and trusted data assets.
- Translate business and customer requirements into technical data solutions and resolve moderately complex data engineering challenges.
- Support cloud-based data platforms and data warehouse/lakehouse environments while optimizing reliability, scalability, performance, and cost.
- Implement data governance, security, lineage, and compliance standards across data assets.
- Collaborate with analysts, data scientists, product teams, technology stakeholders, and business stakeholders.
- Troubleshoot production issues, perform root-cause analysis, and implement sustainable solutions.
- Create technical documentation, design specifications, operational procedures, and participate in code reviews.
- Contribute to automation, CI/CD processes, testing, deployment, and continuous improvement across the data ecosystem.
Requirements
- Bachelor's degree in Computer Science, Data Engineering, Information Systems, Engineering, or a related field.
- At least 3 years of experience in data engineering, software engineering, or big data development.
- Experience developing ETL/ELT pipelines and working with large-scale datasets.
- Experience with data warehouses, data lakes, and modern data architectures.
- Solid proficiency in SQL and Python for data processing and engineering.
- Knowledge of cloud-based data platforms such as Azure, AWS, or Google Cloud.
- Understanding of data modeling, data quality, and data governance principles.
- Strong analytical, problem-solving, communication, stakeholder collaboration, independent working, and prioritization skills.
- Preferred qualifications include Azure, AWS, or GCP certifications; experience with Databricks, Spark/PySpark, Snowflake, BigQuery, or similar cloud data technologies; and experience supporting analytics, business intelligence, or AI/ML workloads.
- Preferred qualifications include experience in healthcare, financial services, or other highly regulated industries and familiarity with Airflow, Azure Data Factory, or Cloud Composer.
Tech Stack
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.