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2 Weeks ago

Big Data Engineer (Standard)

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Bangalore, Karnataka, India
Information Technology
Full-Time
Infogain

Overview

Roles & Responsibilities

Job Description:

  • Build pipelines to bring in wide variety of data from multiple sources within the organization as well as from social media and public data sources.
  • Collaborate with cross functional teams to source data and make it available for downstream consumption.
  • Work with the team to provide an effective solution design to meet business needs.
  • Ensure regular communication with key stakeholders, understand any key concerns in how the initiative is being delivered or any risks/issues that have either not yet been identified or are not being progressed.
  • Ensure dependencies and challenges (risks) are escalated and managed. Escalate critical issues to the Sponsor and/or Head of Data Engineering.
  • Ensure timelines (milestones, decisions and delivery) are managed and value of initiative is achieved, without compromising quality and within budget.
  • Ensure an appropriate and coordinated communications plan is in place for initiative execution and delivery, both internal and external.
  • Ensure final handover of initiative to business as usual processes, carry out a post implementation review (as necessary) to ensure initiative objectives have been delivered, and any lessons learned are fed into future initiative management processes.

Who We Are Looking For

Competencies & Personal Traits

  • Work as a team player
  • Excellent problem analysis skills
  • Experience with at least one Cloud Infra provider (Azure/AWS)
  • Experience in building data pipelines using batch processing with Apache Spark (Spark SQL, Dataframe API) or Hive query language (HQL)
  • Knowledge of Big data ETL processing tools
  • Experience with Hive and Hadoop file formats (Avro / Parquet / ORC)
  • Basic knowledge of scripting (shell / bash)
  • Experience of working with multiple data sources including relational databases (SQL Server / Oracle / DB2 / Netezza).
  • Basic understanding of CI CD tools such as Jenkins, JIRA, Bitbucket, Artifactory, Bamboo and Azure Dev-ops.
  • Basic understanding of DevOps practices using Git version control
  • Ability to debug, fine tune and optimize large scale data processing jobs

Working Experience

  • 1-3 years of broad experience of working with Enterprise IT applications in cloud platform and big data environments.

Professional Qualifications

  • Certifications related to Data and Analytics would be an added advantage

Education

  • Master/Bachelor’s degree in STEM (Science, Technology, Engineering, Mathematics)

Language

  • Fluency in written and spoken English

Experience

  • 3-4.5 Years

Skills

  • Primary Skill: Data Engineering
  • Sub Skill(s): Data Engineering
  • Additional Skill(s): Kafka, Big Data, Apache Hive, SQL Server DBA, CI/CD, Apache Spark
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