Data Engineering – Software Engineer III
Join Deloitte’s Enterprise Performance practice as a Software Engineer III, Data Engineering, where you will support the design, development, and optimization of data pipelines and backend systems across cloud and on-premises platforms. In this role, you will help deliver scalable, well-governed data solutions that support analytics, reporting, and Generative AI (GenAI) and large language model (LLM) applications. You will collaborate with cross-functional stakeholders to translate business and technical requirements into enterprise-ready data engineering solutions. As needed, you may also guide junior team members and coordinate with onsite and offshore teams to support delivery.
Work you'll do
As a Software Engineer III, Data Engineering on the Enterprise Performance team, you will be responsible for designing and supporting data engineering solutions that enable analytics, reporting, and GenAI applications.
- Design, develop, and maintain data pipelines and backend systems across cloud and on-premises environments
- Build and support extract, transform, load (ETL) and extract, load, transform (ELT) workflows using Python, Amazon Web Services (AWS) Lambda, AWS Glue, Apache Airflow, and batch or streaming frameworks
- Develop data processing solutions for GenAI and large language model (LLM) use cases, including data cleaning, transformation, embedding workflows, vector store ingestion, and retrieval-augmented generation (RAG) pipeline enablement
- Administer and optimize databases, schemas, queries, and stored procedures across Oracle, PostgreSQL, MySQL, Microsoft SQL Server, Amazon Redshift, Google BigQuery, and Snowflake environments
- Create technical documentation, troubleshoot pipeline and database issues, and collaborate with cross-functional, onsite, and offshore teams during implementation and support activities
The team
The Enterprise Performance team leverages deep industry knowledge, strong analytical skills, and practical approaches to address clients’ toughest business challenges. Our professionals as part of the Supply Chain Network Operations (SCNO) service line within Enterprise Performance focus on helping organizations achieve sustainable competitive advantage throughout their operations, spanning product development, planning, sourcing, manufacturing, logistics, and distribution. We excel at translating strategic objectives into tangible, measurable outcomes at the operational level. By aligning high-level goals with frontline execution, we ensure our clients realize real value and improved performance across every stage of their supply chain and operations.
Location: Bengaluru / Hyderabad / Pune / Chennai
Shift Timings: 11 AM to 8 PM or 2 PM to 11 PM IST, as per business requirements
Qualifications
Required:
- Bachelor of Engineering, Bachelor of Technology, Master of Computer Applications, Master of Technology, or equivalent degree from an accredited university
- 7-10 years of experience in data engineering, Python, and database administration with SQL or PL/SQL
- Experience developing data pipelines or orchestration workflows using AWS Lambda, AWS Glue, Apache Airflow, or batch and streaming frameworks
- Experience designing data processing workflows for GenAI or LLM applications, including data cleaning, embedding workflows, vector store ingestion, or retrieval-augmented generation (RAG)
- Experience administering or optimizing Oracle, PostgreSQL, MySQL, Microsoft SQL Server, Amazon Redshift, Google BigQuery, or Snowflake environments
- Experience developing Python-based transformation logic and SQL- or PL/SQL-based data solutions
- Experience implementing data validation, parameterized queries, logging, anomaly detection, or technical documentation in data engineering workflows
Preferred:
- Experience with Pinecone, FAISS, OpenSearch, or similar vector database technologies
- Experience with PySpark for distributed data processing
- Experience supporting data engineering solutions on AWS, Google Cloud Platform (GCP), or Microsoft Azure
- Experience migrating schemas, queries, or data pipelines across database platforms
- Experience enabling analytics or reporting through governed enterprise data pipelines
- Experience mentoring junior team members or coordinating with onsite and offshore teams
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