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Digibank - Lead Data Engineer

Location Bengaluru, India
Posted 05-September-2021
We are living in dynamic times. Technology is reshaping how we live, and we want to use it to redefine how financial services are offered. Grab is the leading technology company in Southeast Asia offering everyday services to the masses. Singtel is Asias leading communications group connecting millions of consumers and enterprises to essential digital services. This is why we are coming together to unlock big dreams, and financial inclusion for people in our region is just one of them. We want to build a digital bank with the right foundation - using data, technology and trust to solve problems and serve customers. If you have what it takes to help build this new Digibank with us.

Get to know the Role:

As the Platform Engineer in the Data Services team, you will be working on all aspects of Data, from Platform and Infra build out to pipeline engineering and writing tooling/services for augmenting and fronting the core platform. You will be responsible for building and maintaining the state-of-the-art data Life Cycle management platform, including acquisition, storage, processing and consumption channels. The team works closely with Data scientists, Product Managers, Legal, Compliance and business stakeholders across the SEA in understanding and tailoring the offerings to their needs. As a member of the Data Services, you will be an early adopter and contributor to various open source big data technologies and you are encouraged to think out of the box and have fun exploring the latest patterns and designs in the fields of Software and Data Engineering.

The day-to-day activities: Build and manage the data asset using some of the most scalable and resilient open source big data technologies like Airflow, Spark, Apache Atlas, Kafka, Yarn, HDFS, ElasticSearch, Presto/Dremio, HDP, Visualization layer and more.

Design and deliver the next-gen data lifecycle management suite of tools/frameworks, including ingestion and consumption on the top of the data lake to support real-time, API-based and serverless use-cases, along with batch (mini/micro) as relevant

Build and expose metadata catalog for the Data Lake for easy exploration, profiling as well as lineage requirements

Enable Data Science teams to test and productionize various ML models, including propensity, risk and fraud models to better understand, serve and protect our customers
Lead technical discussions across the organization through collaboration, including running RFC and architecture review sessions, tech talks on new technologies as well as retrospectives

Apply core software engineering and design concepts in creating operational as well as strategic technical roadmaps for business problems that are vague/not fully understood
Obsess security by ensuring all the components, from a platform, frameworks to the applications are fully secure and are compliant by the groups infosec policies.

The must haves:

At least 2years of relevant experience in developing scalable, secured, fault tolerant, resilient & mission-critical Big Data platform.

Able to maintain and monitor the ecosystem with 99.9999 PERCENTavailability

Candidates will be aligned appropriately within the organization depending on experience and depth of knowledge.

Must have sound understanding for all Big Data components & Administration Fundamentals. Hands-on in building a complete data platform using various open source technologies.

Must have good fundamental hands-on knowledge of Linux and building big data stack on top of AWS/Azure using Kubernetes.

Strong understanding of big data and related technologies like HDFS, Spark, Presto, Airflow, apache atlas etc.

Good knowledge of Complex Event Processing (CEP) systems like Spark Streaming, Kafka, Apache Flink, Beam etc.

Experience with NoSQL databasesKV/Document/Graph and similar
Min 2 to 5 Years.

Awards & Accolades for MyTechLogy
Winner of
Top 100 Asia
Finalist at SiTF Awards 2014 under the category Best Social & Community Product
Finalist at HR Vendor of the Year 2015 Awards under the category Best Learning Management System
Finalist at HR Vendor of the Year 2015 Awards under the category Best Talent Management Software
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