Analyst Data Engineer

What impact will you make? Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration and high performance. As the undisputed leader in professional services, Deloitte is where you will find unrivaled opportunities to succeed and realize your full potentiaL

Deloitte is where you will find unrivaled opportunities to succeed and realize your full potential.

The Team Deloitte’s practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning. Learn more about Analytics and Information Management Practice.

Role Purpose Our purpose in the B&PB Data Engineering team is to develop and deliver best-in-class data assets and manage data domains for our Business and Private Banking customers and colleagues—seamlessly and reliably every time. We are passionate about simplicity and meeting the needs of our stakeholders, while continuously innovating to drive value. As a

Data Engineer

you will bring strong expertise in data handling and curation to the team. You will be responsible for building reusable datasets and improving the way we work within BPB. This role requires a strong team player mindset and a focus on contributing to the team’s overall success.

Job Title : Analyst Data Engineer Division : Business and Private Banking (BPB) Team Name : Data and Analytics, Data Analytics & Strategy Execution Reporting to (People Leader Position) : Manager, Data Engineering Location : Gurgaon

Core Responsibilities Manage ETL jobs and ensure data requirements from BPB reporting and business teams are met. Assist with operational data loads and support ongoing data ingestion processes. Translate business requirements into technical specifications. Work alongside senior data engineers to deliver scalable, efficient data solutions. Key Role Responsibilities Actively participate in the development, testing, deployment, monitoring, and refinement of data services. Manage and resolve incidents / problems; apply fixes and resolvesystematic issues. Collaborate with stakeholders to triage issues and implement solutions that restore productivity. Risk Proactively manage risk in accordance with all policy and compliance requirements. Perform appropriate controls and adhere to all relevant processes and procedures. Promptly escalate any events, issues, or breaches as they are identified. Understand and own the risk responsibilities associated with the role. Accountabilities Build effective working relationships with BPB teams to ensure alignment with the overall Data Analytics Strategy. Deliver ETL pipelines that meet business reporting and data needs. Orchestrate and automate data workflows to ensure timely and reliable dataset delivery. Translate business goals into technical data engineering requirements. People Accountability People Accountability : Individual Contributor Number of Direct Reports : 0 Essential Capabilities Individuals with a minimum of 1–2 years of experience in a similar data engineering or technical role. A tertiary qualification in Computer Science or a related discipline. Critical thinkers who use networks, knowledge, and data to drive better outcomes for the business and customers. Continuous improvers who challenge the status quo and advocate for better solutions. Team players who value diverse skills and perspectives. Customer-focused individuals who define problems and develop solutions based on stakeholder needs. Required Technical Skills :

Experience with design, build, and implementation of data engineering pipelines using :

SQL Python Airflow Databricks (or Snowflake) Experience with cloud-based data solutions (preferably AWS). Familiarity with on-premises data environments such as Oracle. Strong development and performance tuning skills with RDBMS platforms including :

Oracle Teradata Snowflake Redshift

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purpose : To make an impact tha

t matters. Every day, Deloitte people are making a real impact in the places they live and work. We pride ourselves on doing not only what is good for clients, but also what is good for our people and the Communities in which we live and work—always striving to be an organization that is held up as a role model of quality, integrity, and positive change. Learn more about Deloitte's impact on the world.