Executive, Core Data Engineering

2 days ago

Dhaka, Dhaka, Bangladesh Bdjobs Full time

Nagad Limited
is looking for
Executive, Core Data Engineering

Key Points

  1. Work with enterprise-scale data platforms in a leading DFS organization
  2. Hands-on exposure to batch & near-real-time data processing architecture
  3. Opportunity to build high-quality, analytics-ready datasets for business impact

Job Description / Responsibility

  • Develop and maintain batch and near real-time data pipelines to support analytics and reporting requirements.
  • Implement layered data models (raw, refined, curated) following defined data architecture standards.
  • Execute data ingestion, transformation, and delivery processes from multiple source systems.
  • Monitor and ensure data accuracy, consistency, and reliability across assigned data pipelines.
  • Prepare and maintain analytics-ready datasets, including structured and semi-structured data.
  • Support workflow orchestration and scheduling using standard data pipeline tools.
  • Assist in building and maintaining dimensional data models for BI and reporting use cases.
  • Work closely with BI and Analytics teams to deliver data as per business requirements.

Educational Requirements

  • Bachelor of Science (BSc) in Computer Engineering
  • Skills Required: Python, SQL, Java, ETL, Scala, data storage, SQL and NoSQL Databases

Experience Requirements

  • At least 1 year(s)
  • The applicants should have experience in the following business area(s): Banks,Telecommunication,Manufacturing (FMCG),Financial Technology (Fintech) Startup
  • Freshers are also encouraged to apply.

Additional Requirements

  • Strong proficiency in Python, Java/Scala, and SQL for large-scale data processing, transformation, and analytics.
  • Solid understanding of ETL / ELT concepts, data transformation practices, and analytics engineering.
  • Hands-on experience with distributed and object storage systems (e.g., HDFS, S3 or equivalent).
  • Experience integrating relational and NoSQL databases and handling structured and semi-structured data.
  • Familiarity with SQL and NoSQL database technologies for scalable data storage and querying.

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