Data Engineer / Data Modeler

0 years

0 Lacs

Posted:3 days ago| Platform: Linkedin logo

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Work Mode

Remote

Job Type

Contractual

Job Description

***HIRING***


I am looking for Data Engineers to work on a short 10 week contract for one of my clients in Abu Dhabi. This role is fully remote and may extend beyond the end of the contract.


Job Title – Data Engineer / Data Modeler

Salary / Day Rate – USD 290 – USD 310 Per Day

Contract Length – 10 Weeks

Location – Fully Remote

Start Date – ASAP – Subject to Security Clearance.


Data Engineer who is a SQL, Data Modelling expert


Responsibilities


  • You’re an

    expert in

    SQL

    and can comprehend, write hard SQL queries comfortably
  • You know about

    SQL performance optimization techniques

    and follow best practices when writing SQL queries
  • Design and implement end-to-end data pipelines following medallion architecture patterns (bronze, silver, gold layers)
  • Build and optimize data transformations using SQL for large-scale data processing
  • Expert developing

    dimensional data models

    ,

    aggregations

    , and

    KPI calculations

    in the gold layer for analytics consumption
  • Implement data ingestion pipelines from multiple source systems including databases, APIs, and file-based sources
  • Create and maintain data transformation logic using transformation frameworks
  • Design and implement data quality checks, validation rules, and monitoring across all pipeline stages
  • Build and manage workflow orchestration using Apache Airflow or similar orchestration tools



Requirements


  • Strong experience in data engineering building production-grade

    data pipelines

    and writing

    SQL queries.

  • Advanced SQL skills

    including complex queries, window functions, CTEs, and query performance tuning.
  • Strong understanding of

    dimensional modelling

    , star schemas, and data warehousing concepts.
  • Strong expertise in building data pipelines and query optimization
  • Strong proficiency in Python for data engineering tasks and automation
  • Hands-on experience with workflow orchestration tools: Apache Airflow, Dagster, or Prefect
  • Experience with data lake storage formats: Delta Lake, Parquet, or Iceberg
  • Experience with data quality frameworks and implementing validation rules at scale; familiarity with Great Expectations or similar data quality testing frameworks
  • Experience deploying and managing data platforms in

    on-premises environments.


Regards,

Ollie

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