Big Data Engineer (Standard)
- Infogain
- 3 - 4 years
- Noida, Gurugram
- 1 month ago
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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
- 3-4.5 Years
- Primary Skill: Data Engineering
- Sub Skill(s): Data Engineering
- Additional Skill(s): Kafka, Big Data, Apache Hive, SQL Server DBA, CI/CD, Apache Spark
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: InfogainLocation(s): Noida, Gurugram
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Keyskills: Version control GIT Db2 Social media Data processing Oracle JIRA big data Analytics Downstream
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Infogain
A global digital engineering company delivering technology solutions that accelerate business outcomes. It specializes in cloud, data, AI, and experience-led transformation for enterprises across industries.
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