Data Engineer

About Company

They balance innovation with an open, friendly culture and the backing of a long-established parent company, known for its ethical reputation. We guide customers from what’s now to what’s next by unlocking the value of their data and applications to solve their digital challenges, achieving outcomes that benefit both business and society.

About Client:

Our client is a global digital solutions and technology consulting company headquartered in Mumbai, India. The company generates annual revenue of over $4.29 billion (₹35,517 crore), reflecting a 4.4% year-over-year growth in USD terms. It has a workforce of around 86,000 professionals operating in more than 40 countries and serves a global client base of over 700 organizations.

Our client operates across several major industry sectors, including Banking, Financial Services & Insurance (BFSI), Technology, Media & Telecommunications (TMT), Healthcare & Life Sciences, and Manufacturing & Consumer. In the past year, the company achieved a net profit of $553.4 million (₹4,584.6 crore), marking a 1.4% increase from the previous year. It also recorded a strong order inflow of $5.6 billion, up 15.7% year-over-year, highlighting growing demand across its service lines.

Key focus areas include Digital Transformation, Enterprise AI, Data & Analytics, and Product Engineering—reflecting its strategic commitment to driving innovation and value for clients across industries.

Description:

The role of Data Engineer involves leading complex business reengineering development projects and to solve organizational problems through IT solutions using Big Data concepts, Platform tools and software engineering languages as required.

Key Responsibilities include:

• Designing, developing and implementing solutions to customers organisational problems;

• Providing high quality service delivery on engagements;

• Designing and developing data reconciliation metadata driven data processing frameworks; Responsibilities and Duties Key Skills/Experience:

• Working experience and strong knowledge in Databricks.Knowledge in Cloud Computing – AWS preferably

• Knowledge in programming and shell scripting eg. Core/Python/Scala/Java

• Knowledge in Hadoop Stack eg. Hive, Spark (Core and Streaming), Kafka, Flink, NIFI;

• Knowledge with Github and Jenkins;

• Knowledge on stream transform using Spark Streaming or Flink;

• Knowledge on change data capture in a big data ecosystem;

• Knowledge building real time or batch ingestion and transformation pipelines

Additional skills/responsibilities of this role

• Knowledge on supporting a production service in a DevOps friendly environment;

• Knowledge on working in Agile/Scrum teams;

• Knowledge on API and cloud-native architecture; •

Knowledge on with ‘container’ technology (e.g. Docker, Kubernetes);

• Knowledge on wrangling data using library such as Pandas, Scikit-learn or Numpy;

• Knowledge on using notebook such as Jupyter or Polyglot;

• Knowledge on test-driven development, test automation continuous delivery;

• Knowledge on in Java build automation technologies such as Gradle, Maven, Integration with Sonarqube etc.;