Java Developer

About Company

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.

• Job Title:-Java Developer

• Location

  :

  Bengaluru,pune

• Experience

  :

  7 +Years

• Job Type

  :

  Contract to hire

  .

• Notice Period

  :-

  Immediate joiners.

Detailed JD:

Bachelors in computer science, Engineering, or equivalent experience

● 7+ years of experience in core JAVA, Spring Framework (Required)

● 2 years of Cloud experience (GCP, AWS, Azure, GCP preferred ) (Required)

● Experience in big data processing, on a distributed system. (required)

● Experience in databases RDBMS, NoSQL databases Cloud natives. (Required)

● Experience in handling various data formats like Flat file, jSON, Avro, xml etc with defining the schemas and the contracts. (required)

● Experience in implementing the data pipeline (ETL) using Dataflow( Apache beam)

● Experience in Microservices and integration patterns of the APIs with data processing.

● Experience in data structure, defining and designing the data models