## What youu2019ll do:nnJob Summary nThe Data Engineering Apprentice will be part of the Digital Finance Data Engineering team and will support the design, development, and operation of enterprise data pipelines and data platforms. This role is intended for early career candidates who are eager to build strong foundations in modern data engineering practices while working in a governed, enterprise-scale setting. nThe apprentice will work under the guidance of senior data engineers and managers, gaining hands-on experience with cloud data platforms, data integration, data modeling standards, and finance-domain datasets.nnKey Responsibilities nData Engineering u0026 Platform Support nu2022 Assist in building and maintaining data pipelines for ingesting, transforming, and validating data from various source systems. nu2022 Support data transformations using SQL and Python under established engineering standards. nu2022 Help with data quality checks, reconciliation processes, and basic troubleshooting of data issues. nu2022 Participate in documenting data pipelines, table definitions, and engineering artifacts. nLearning u0026 Engineering Practices nu2022 Learn and apply modern data engineering practices including ELT/ETL pipelines, version control, and CI/CD fundamentals. nu2022 Follow enterprise data engineering standards for naming conventions, data modeling, and code quality as defined by the team. nu2022 Gain hands-on exposure to cloud data platforms such as Snowflake and Azure-based data services. nu2022 Participate in code reviews and technical walkthroughs as a learning opportunity. nCollaboration u0026 Communication nu2022 Work closely with senior data engineers,



analysts, and product owners to understand business and technical requirements. nu2022 Support team activities such as sprint planning, backlog grooming, and sprint reviews in an Agile delivery model. nu2022 Communicate progress, issues, and learnings clearly to mentors and team members. nData Governance u0026 Compliance nu2022 Learn and adhere to data governance, security, and access control standards. nu2022 Assist in implementing basic data validation, audit columns, and control checks required for enterprise and finance data.nn## Qualifications:nn nu2022 Undergraduate (or recent graduate) in Computer Science, Information Technology, Data Science, Engineering, or a related field. nTechnical Skills (Basic / Foundational)nn## Skills:nnu2022 Fundamental knowledge of SQL (SELECT, JOINs, basic aggregations). nu2022 Basic programming knowledge in Python or a similar language. nu2022 Understanding of relational databases and data concepts (tables, keys, data types). nu2022 Familiarity with basic data engineering or analytics concepts is a plus.nnu2022 Strong willingness to learn and take feedback positively. nu2022 Good analytical and problem-solving skills. nu2022 Clear written and verbal communication skills. nu2022 Ability to work collaboratively in a team environment.nn nu2022 Exposure to cloud platforms (Azure, AWS, or GCP) in coursework or projects. nu2022 Basic familiarity with Snowflake, Spark, or data integration tools (e.g., ADF) is an advantage but not mandatory. nu2022 Academic or personal projects involving data pipelines or databases. nu2022 Interest in finance or enterprise data domains.n

📌 Data Engineering Apprentice (Pune)
🏢 Important Business
📍 Pune