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Apache Spark and Hadoop Data Engineer @ Tech Mahindra Ltd.

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Tech Mahindra Ltd.  Apache Spark and Hadoop Data Engineer

Job Description

    As an Apache Spark and Hadoop Data Engineer, you will be working on a next-generation cross-asset data management platform in the Virginia/DC Area for a duration of 12+ Months. The platform aims to provide globally consistent data and innovative tools to support business strategy for trade/sales clients utilizing a big data architecture that is highly scalable and cloud-ready. It enables industry-leading analytics, client reporting, regulatory compliance, surveillance, supervisory reporting, and data science solutions with a tech stack including Apache Spark, Hadoop, Java, Spring, SQL, and Kafka. We are seeking both junior and senior Data Engineers with Big Data experience in Hadoop and Spark. The role involves building the design and establishing the framework to expose and distribute Risk data to a wide variety of consumers, including developing low latency caching to service Front office risk systems. Mandatory skills include at least 2 to 4 years of software development experience, strong knowledge of Java programming languages, 1+ year of Big data development with extensive hands-on experience in Spark programming, familiarity with algorithms and design patterns, understanding of distributed systems, and knowledge of CI/CD workflow and GIT. Your responsibilities will include enabling industry-leading analytics, client reporting, regulatory compliance, surveillance, supervisory reporting, and data science solutions on the platform. This covers low latency access and Streaming, Push / Pull mechanisms based on the type of consumers. As a Jr/Sr Data Engineer, you will collaborate with strong development teams, enhancing your knowledge in the big data domain while working with the resources of an international bank. This position offers 2 roles - one Junior (2 yrs) and one Senior (4-6 yrs) Data Engineer. The job is located in the Virginia/DC Area and requires onsite presence. Ideal candidates should have experience with Big Data Tools such as Apache Spark, Hadoop, any Cloud platform, Java, Python, SQL, and Oracle.,

Employement Category:

Employement Type: Full time
Industry: IT Services & Consulting
Role Category: Not Specified
Functional Area: Not Specified
Role/Responsibilies: Apache Spark and Hadoop Data Engineer

Contact Details:

Company: Laurate LLC
Location(s): All India

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Keyskills:   Java Spark Hadoop SQL Kafka

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Tech Mahindra Ltd.

Tech Mahindra Limited is an Indian multinational provider of information technology (IT), networking technology solutions and Business Process Outsourcing (BPO) to the telecommunications industry. Tech Mahindra is a US$4.2 billion company with over 117,000 employees across 90 countries. It provide...