Management Trainee-HO & SUPPORT-CVM CoE - Centre of Excellence

This is an Internal document. Job Title:- Entry Level – Data Engineer/SDE About Kotak Mahindra Group: Established in 1985, the Kotak Mahindra Group is one of India’s leading financial services conglomerates. In February 2003, Kotak Mahindra Finance Ltd (KMFL), the group’s flagship company, received a banking license from the Reserve Bank of India (RBI). With this, KMFL became the first non-banking finance company in India to become a bank – Kotak Mahindra Bank Limited. The consolidated balance sheet of Kotak Mahindra Group is over 1 lakh crore and the consolidated net worth of the Group stands at 13,943 crore (approx. US$2.6 billion) as on September 30, 2012. The Group offers a wide range of financial services that encompass every sphere of life. From commercial banking, to stock broking, mutual funds, life insurance and investment banking, the Group caters to the diverse financial needs of individuals and the corporate sector. The Group has a wide distribution network through branches and franchisees across India, the international offices in London, New York, California, Dubai, Abu Dhabi, Bahrain, Mauritius and Singapore. For information, please visit the company’s website at http://www.kotak.com What we offer Our mission is simple – Building trust. Our customers' trust in us is not merely about the safety of their assets but also about how dependable our digital offerings are. That’s why we at Kotak Group are dedicated to transforming banking by imbibing a technology-first approach in everything we do, with an aim to enhance customer experience by providing superior banking services. We welcome and invite the best technological minds in the country to come join us in our mission to make banking seamless and swift. Here, we promise you meaningful work that positively impacts the lives of many. About our team DEX is a central data org for Kotak Bank which manages the entire data experience of Kotak Bank. DEX stands for Kotak’s Data Exchange. This org comprises of Data Platform, Data Engineering and Data Governance charter. The org sits closely with Analytics org. DEX is primarily working on the greenfield project to revamp the entire data platform which is on premise solutions to scalable AWS cloud-based platform. The team is being built ground up which provides great opportunities for technology fellows to build things from scratch and build one of the best-in-class data lake house solutions. The primary skills this team should encompass are Software development skills preferably Python for platform building on AWS; Data engineering Spark (pyspark, spark, scala) for ETL development, Advanced SQL and Data modelling for Analytics. The org size is expected to be around 100+ member team primarily based out of Bangalore comprising of ~10 sub teams independently driving their charter. As a member of this team, you get opportunity to learn fintech space which is most sought-after domain in current world, be an early member in digital transformation journey of Kotak, learn and leverage technology to build complex data platform solutions including, real time, micro batch, batch and This is an Internal document. analytics solutions in a programmatic way and also be futuristic to build systems which can be operated by machines using AI technologies. The data platform org is divided into 3 key verticals: Data Platform This Vertical is responsible for building data platform which includes optimized storage for entire bank and building centralized data lake, managed compute and orchestrations framework including concepts of serverless data solutions, managing central data warehouse for extremely high concurrency use cases, building connectors for different sources, building customer feature repository, build cost optimization solutions like EMR optimizers, perform automations and build observability capabilities for Kotak’s data platform. The team will also be center for Data Engineering excellence driving trainings and knowledge sharing sessions with large data consumer base within Kotak. Data Engineering This team will own data pipelines for thousands of datasets, be skilled to source data from 100+ source systems and enable data consumptions for 30+ data analytics products. The team will learn and build data models in a config based and programmatic and think big to build one of the most leveraged data models for financial orgs. This team will also enable centralized reporting for Kotak Bank which cuts across multiple products and dimensions. Additionally, the data built by this team will be consumed by 20K + branch consumers, RMs, Branch Managers and all analytics use cases. Data Governance The team will be the central data governance team for Kotak bank building and managing Metadata platforms, Data Privacy, Data Security, Data Stewardship and Data Quality platform. If you’ve the right data skills and are ready for building high concurrency systems involving multiple systems from scratch, then this is the team for you. Job Description:- Responsibilities:-  Develop, and maintain scalable data pipelines and databases.  Assist in collecting, cleaning, and transforming data from various sources.  Work with AWS services like EC2, EKS, EMR, S3, Glue, Redshift, and MWAA.  Explore and learn the latest AWS technologies to enhance capabilities and efficiency.  Work with data scientists and analysts to provide necessary data for analysis.  Ensure data quality and integrity throughout the data lifecycle.  Participate in code reviews and contribute to a collaborative, high-performing team environment.  Improve ongoing reporting and analysis processes, automating or simplifying self-service support for customers.  Create state of art software solutions which are durable and reusable for multiple teams This is an Internal document. Requirements:-  Bachelor’s degree in Computer Science, Engineering, Information Technology, or a related field.  Proficiency in SQL and experience with at least one programming language (Python, Scala, Java, etc.).  Familiarity with data warehousing concepts and ETL processes.  Understanding of big data technologies like Hadoop, Spark, etc., is a plus.  Strong analytical and problem-solving skills.  Excellent communication and teamwork abilities. Good to Have:- Experience with cloud platforms (AWS, Azure, Google Cloud). Familiarity with data visualization tools (Tableau, PowerBI). Personal Attributes:-  Strong written and verbal communication skills  Self-starter who requires minimal oversight  Ability to prioritize and manage multiple tasks