Data Engineer, Apprentice

About the Role

The Global Technology division manages critical systems and platforms forming the backbone of the company's retail, commercial, and institutional businesses, as well as key support functions globally. We develop and deploy leading-edge technologies in areas such as mobile and online banking, payments processing, technology infrastructure, cyber-security, risk and capital management, and enterprise data management.

Key Responsibilities

• Works across development teams to contribute to story refinement and the delivery of data requirements through the delivery life cycle.
• Leverages architecture components in solution development and collaborates with team members to code solutions to integrate, clean, transform, and control data in operational and analytical data systems per defined acceptance criteria.
• Builds processes supporting data transformation, data structures, metadata, data quality controls, dependency, and workload management.
• Defines and builds data pipelines to enable data-informed decision-making.
• Participates in the development and execution of test plans to produce quantitative results.
• Contributes to existing test suites including integration, regression, and performance.
• Analyzes test reports, identifies test issues and errors, and supports triage of underlying causes.
• Contributes to information technology projects to ensure on-time delivery and adheres to team delivery and release processes.
• Assists team members with identifying, defining, and documenting data engineering requirements.
• Communicates required information for deployment, maintenance, support, and business functionality.
• Works with technology partners and stakeholders to identify and close gaps in data management standards adherence.
• Negotiates paths forward and helps to identify and communicate solutions to data problems.
• Understands the application life cycle and data lineage and provides support to ensure application flow succeeds and has the right data.
• Builds and monitors key controls on applications to ensure near-zero downtime availability and successful data validations.

Requirements & Tech Stack

Skills Exposure/Opportunity to work in areas such as

• Hadoop
• HDFS
• Spark
• Yarn
• Hive
• Sqoop
• Impala
• Hue
• Python
• SQL
• Scala
• Spark Streaming
• Kafka
• Shell Scripting
• ETL
• Quartz
• Teradata
• Datastage
• Tableau

Foundational Skills

• Data Management
• Data Analytics & Transformations
• DevOps Practices
• Solution Design
• Agile Practices
• Collaboration
• Risk Management
• Test Engineering
• Architecture
• Data Quality Management
• Solution Delivery Process

Desired Skills

• Ability to implement solutions based on requirements or innovative ideas.
• Willingness and aptitude to work in global distributed teams.
• Attention to detail and strong work ethics.

Qualifications

Educational Qualifications

• Eligible Final year students from the Class of 2027 ONLY.
• Degree Type: Bachelor’s Degree.
• Major Specialization: Computer Science, Computer Engineering, Information Technology.
• CGPA: 70% in the last semester OR CGPA of 7 on a scale of 10 in the last semester with no pending backlog subjects at the time of applying.
• Certifications: Good to have if any.

Other Requirements

• Students with Indian citizenship and residing in India.
• Students should be open for any roles they are finally selected as per the listed Job Descriptions.
• Students should be open to join any of our 5 locations: MUMBAI, CHENNAI, GURUGRAM, HYDERABAD, GIFT CITY. Not all campus roles are available in all locations. Location preference will not be given.
• Students must be open to work in any shifts, including night shifts and rotational shifts, as per business or process requirements.