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Big Data Engineer || Infogain

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 Big Data Engineer || Infogain

Job Description

Exp: 3 to 6 years

Notice Period : Immediate to 30 days

Skill Set : Hadoop + Spark + Databricks + SQL + Azure

Role & responsibilities

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.

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


Preferred candidate profile


Interested candidates , kindly share updated resume on si*********i@in*****n.com

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Big Data Engineer
Employement Type: Full time

Contact Details:

Company: Infogain
Location(s): Pune

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Keyskills:   spark Hadoop databricks pyspark Hive data factory

 Fraud Alert to job seekers!

₹ 5-12 Lacs P.A

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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.