Data Engineer III

. Design and build data pipelines to analyse huge datasets .

Posted 4/29/2026full-timeChennai • 🇮🇳 IndiaMid-LevelSeniorWebsite

Tools & technologies

AirflowAWSAzureBigQueryGoogle Cloud PlatformHadoopJavaKafkaLinuxPythonScalaSparkSQL

Key responsibilities & impact

Design and build data pipelines to analyse huge datasets
Create powerful visualisations to derive insights
Partner with the product team to brainstorm and act on opportunities
Develop and implement best-in-class Data pipeline and Data lake
Ensure best capacity utilisation and meet SLAs
Transform business requirements to code and analytical reports
Collaborate closely with product owner and technical lead
Document requirements, data lineage, subject matter in both business and technical terminology

What you’ll need

Bachelor’s degree in computer science or related discipline with 3+ years’ experience
Minimum 2 years of experience in Big Data and distributed computing
Proven experience building pipelines on Big Data Technologies/Stack – Hadoop, Spark, Hive, dataproc, BigQuery, Kafka and Airflow Scheduler
Deep understanding of the Hadoop ecosystem and strong conceptual knowledge in Hadoop architecture components
Experience working on at least one Big Data technology with Java, Python or Scala
Strong knowledge of deploying and managing applications in AWS or Azure or GCP
Strong scripting skills to process large amount of data and highly proficient in SQL
Solid knowledge of Linux systems
Experience in secure, scalable and highly available services
Experience with data science and machine learning is a plus

Comp & perks

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Hard Skills & Tools

data pipelinesdata lakeBig DataHadoopSparkHiveBigQueryKafkaAirflow SchedulerSQL

Soft Skills

collaborationcommunicationproblem-solvingdocumentation