Job Title

Senior Data Engineer

  • Position:
  • Salary: $10000 - $11500 +13th month pay+variable bonuses
  • Location:
  • Job ID: 04445
  • Applications: 0
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Flintex Consulting Pte Ltd

31 Active Positions

Job Description

We have requirement for Senior Data Engineer with experience in Microsoft Azure Cloud. In this role, you will be responsible for building real-time/batch data ingestion pipelines integrating different data sources like RDBMS, APIs, plant legacy systems, historian systems, storage systems etc.



  • Design, develop, and launch extremely efficient and reliable data pipelines.
  • Solve issues in the existing data pipelines and build their successors.
  • Build modular pipeline to construct features and modelling tables.
  • Maintain data warehouse architecture and relational databases.
  • Monitor incidents by performing root cause analysis and implement the appropriate action.
  • Create, document and monitor highly readable code.



  • Masters/Bachelor’s degree in Computer Science or any other related field with minimum 7-10 years of IT experience.
  • Minimum 4 years’ experience in designing, building and operationalizing medium to large scale data integration (structured & unstructured) projects with Azure Data Lake, Data Warehouse, BLOB Storage, RDBMS using Azure integration services.
  • Minimum 1 project implementation of real-time data integration & processing.
  • Minimum 4 years of Hands-on Experience in following big data technologies in the Microsoft Azure cloud is must: Data Lake Store, Data Warehouse, Data Catalog, Data bricks, Data Lake Analytics, Stream Analytics, Event Hub, IoT Hub, Data Factory, and Logic Apps is must.
  • Hands-on experience in CI-CD implementation with Azure DevOps.
  • Hands-on experience in scripting using JavaScript, PowerShell, Python is must. Knowledge of node JS, react, angular JS will be an added advantage.
  • Hands-on experience in Programming languages Python & .Net is must.
  • Hands-on experience in SQL/T-SQL and query optimization with SQL DB and DW.
  • Minimum 2 years of designing and developing reports and Dashboards using Power BI/Tableau/Qlik/SSRS
  • Added advantage:
  • Data engineering with Spark framework.
  • Real-time data ingestion using Spark streaming
  • Data integration with other cloud services like AWS SQS, AWS S3, AWS Glue and Google cloud platform etc.
  • Prior knowledge in relational SQL and NoSQL databases such as Neo4j and MongoDB, Python, UNIX or statistical software.
Tags: Azure Data Lake, Azure DevOps, Azure integration services, BLOB, CI-CD implementation, Data Warehouse

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