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Active34mo ago

Senior Data Engineer

Go Digital Technology Consulting·📍 Mumbai, Maharashtra, India

Employment

FULL TIME

Work mode

On-site

Experience

3–8 years

Salary

Not disclosed

Salary not disclosed

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OverviewJob pulseRequirementsCompanySimilar jobs

Role overview

Job description

Location : Mumbai Experience : 4yrsto 8yrs Technologies / Skills: Advanced SQL, Python and associated librarieslike Pandas, Numpy etc., Pyspark , Shell scripting, DataModelling, Big data, Hadoop, Hive, ETL pipelines. Responsibilities : • Proven successin communicating with users, other technical teams, and senior management to collect requirements, describe data modeling decisions and develop data engineering strategy. • Ability to work with business ownersto define key businessrequirements and convert to user stories with required technical specifications. • Communicate results and businessimpacts of insight initiatives to key stakeholders to collaboratively solve business problems. • Working closely with the overall Enterprise Data & Analytics Architect and Engineering practice leads to ensure adherence with the best practices and design principles. • Assures quality, security and comp

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About this listing

  • Listed from Go Digital Technology Consulting's careers site via Keka · last confirmed on the source 25 Oct 2026
  • Posted 26 Dec 2023

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Role market pulse

How Data Engineer demand looks in India

45/100 · steady

Live jobs

89

Posted 30d

41

30d movement

+7.9%

Remote share

3.4%

Salary listed

10.1%

Salary trend 1Y

Not enough history

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What they are looking for

Skills & requirements

python →sql →aws →git →

Qualification

3+ years of hands-on experience Designing and developing Data Pipelinesfor Data Ingestion or Transformation using Python (PySpark)/Spark SQL in AWS cloud • Experience in design and development of data pipelines and processing of data at scale. • Advanced experience in writing and optimizing efficient SQL queries with Python and Hive handling Large Data Sets in Big-Data Environments • Experience in debugging, tunning and optimizing PySpark data pipelines • Should have implemented concepts and have good knowledge of Pyspark data frames, joins, caching, memory management, partitioning, parallelism etc. • Understanding of Spark UI, Event Timelines, DAG, Spark config parameters, in order to tune the long running data pipelines. • Experience working in Agile implementations • Experience with building data pipelinesin streaming and batch mode. • Experience with Git and CI/CD pipelines to deploy cloud applications • Good knowledge of designing Hive tables with partitioning for performance. Desired

Department · Technology

Hiring company

Go Digital Technology Consulting

Technology

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