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Hadoop Big data engineer @ Tech Mahindra

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 Hadoop Big data engineer

Job Description

Responsibilities:

  • Onboarding and updating data deliveries on our Hadoop Datalake
    Developing frameworks to process and deploy new data delivery methods or file formats (JSON, XML, CSV, ProtoBuf, Avro, Parquet, etc)
    Creating views and tables for our users with optimal performance for their use case
    Experience of connecting and interfacing with systems via APIs
    Support both Development and Operations teams in quickly solving complex issues that are hindering the team and/or stakeholders
    Coordinating with source teams producing data and also consumers using this data for their use cases
    Supporting in the design, building, and testing of new services and extending existing services on our platform
    Team collaboration on complex challenges, code reviews and testing new functionalities
    Evaluating stakeholder requirements and guiding the innovation team towards the most suitable solution architecture
    Identifying common development patterns and ensuring generic solutions and architecture are applied where possible
    Take the design lead for complex requirements that go beyond the standard work done by the team
    Continue to move the teams towards using more automation and efficient ways of working, to improve quality, eliminate manual mistakes and be more predictable with our deliveries

Education, Experience, and Licensing Requirements:
As an engineer, ideally you have the following qualifications or experience with:
Extensive knowledge of Data modelling Data Warehousing, Relational DBs and Hadoop BigData stores
Hadoop including specifically HDFS, Hive and SQL
Java/Scala, Spark with 5 years+ general software design/development experience
Shell scripting / Shell commands
Git and Confluence
Bachelors Degree in Computer Science, Information Systems or other area of academic study (IT experience can substitute for a Bachelors Degree)
DevOps mindset
Able to learn quickly in a complex multitool environment
Extra assets are:
Python, Groovy, Ansible
Hbase and Phoenix
Apache Nifi and Kafka
General hands-on experience with (Clouderas) Hadoop Suite


Domain
Telecom Domain knowledge - mainly Fault, Performance, Configuration and Capacity Management Data

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics
Role Category: Business Intelligence & Analytics
Role: Data Analyst
Employement Type: Full time

Contact Details:

Company: Tech Mahindra
Location(s): Pune

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Keyskills:   Hive Hadoop Kafka Spark Python Cloudera

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Tech Mahindra

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...