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Infogain looking for Big Data Engineer (Standard), Noida, India 3-4.5 Years Experience in Data Engineering

1.00 to 4.00 Years   Noida/ Greater Noida (Uttar Pradesh)   22 May, 2025
Infogain Corporation
Job LocationNoida/ Greater Noida (Uttar Pradesh)
EducationAny Graduate
SalaryAs per Industry Standards
IndustrySoftware Services
Functional AreaIT Software : Software Products & Services
EmploymentTypeFull-time

Job Description

: Big Data Engineer (Standard)Location: Noida, IndiaPosted on: May 13, 2025Skills: Data Engineering, Kafka, Big Data, Apache Hive, SQL Server DBA, CI/CD, Apache SparkROLES & RESPONSIBILITIES:

  • Build pipelines to bring in a 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 the value of the 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 DevOps.
  • 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 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/Bachelors degree in STEM (Science, Technology, Engineering, Mathematics)
Language
  • Fluency in written and spoken English
EXPERIENCE: 3-4.5 YearsSKILLSPrimary Skill: Data EngineeringSub Skill(s): Data EngineeringAdditional Skill(s): Kafka, Big Data, Apache Hive, SQL Server DBA, CI/CD, Apache SparkABOUT THE COMPANYInfogain is a human-centered digital platform and software engineering company based out of Silicon Valley. We engineer business outcomes for Fortune 500 companies and digital natives in the technology, healthcare, insurance, travel, telecom, and retail & CPG industries using technologies such as cloud, microservices, automation, IoT, and artificial intelligence. We accelerate experience-led transformation in the delivery of digital platforms. Infogain is also a Microsoft (NASDAQ: MSFT) Gold Partner and Azure Expert Managed Services Provider (MSP).Infogain, an Apax Funds portfolio company, has offices in California, Washington, Texas, the UK, the UAE, and Singapore, with delivery centers in Seattle, Houston, Austin, Krakw, Noida, Gurgaon, Mumbai, Pune, and Bengaluru.

Keyskills :
data engineering apache kafka big data apache hive sql server dba hql artificial intelligence git devops software engineering telecom api hadoop oracle team player

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