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Data Engineer - Data Center

Apply now Job no: IND2025-CTO03
Work type: Permanent - Full Time
Location: India
Categories: Mid-Senior Level

Role Profile:

As a Data Engineer you are expected to contribute towards

  • Create and maintain optimal data pipeline architecture,
  • Assemble large data sets that meet functional / non-functional business requirements.
  • Design and implement internal process improvements: automating manual processes, and optimizing data delivery etc.
  • Help build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Python,  SQL and GCP ‘big data’ technologies.
  • Work with stakeholders including Product, Data Integration and Design teams to assist with data-related technical issues and support their data infrastructure needs.
  • Create data tools for BI reporting, digital analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
  • Work with data and analytics experts to strive for greater functionality in our data systems.

 

 

The below Key Performance Areas include but are not limited to:
  • Takes a breadth first approach to problem solving and encourages systematic thinking.
  • Good communicator and collaborator, able to simplify concepts for wider non-tech audiences.
  • Able to demonstrate a passion for data engineering with the ability to work cross functional.
  • Culturally sensitive and able to work across cultures and time zones.

 

 

 

Experience

  • Experience of designing, building and maintaining scalable ETL data processing systems using Python, Java, Scala or similar programming language – this is a hands-on coding role.

 

  • Understanding and experience in data processing techniques and analytics with Strong SQL experience.

 

  • Understanding and experience of GCP data tools (GBQ, Dataflow, DataProc, GC Data Transfer etc.)

 

  • Understanding and experience of using and creating CICD pipelines using Azure Devops, Jenkins, GoCD or any similar technologies

 

  • Understanding and experience of using orchestration tools such as Apache Airflow, Azure Datafactory, AWS Data pipelines or similar

 

  • Understanding and experience of working with Cloud Deployment Environments (GCP or AWS preferred)

 

  • Proponent for software craftmanship, TDD and automated testing

 

  • DevOps background with understanding of cloud-based IAC technologies
    • Terraform or serverless
    • Github as version control
    • Familiar with CI/CD

 

  • Uunderstanding of Data Modelling and/or Data Warehousing techniques such as star schema or raw data vault

 

  • Experience of working with large-scale data sets, this includes both structured and unstructured data such as parquet, avro, json etc.

 

Advertised: India Standard Time
Applications close:

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