Intermediate Data Engineer
Intermediate Data Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
5years
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
We are seeking an Intermediate Data Engineer with experience in ETL Azure Synapse SQL Stored Procedures Data Factory and Spark. The ideal candidate will work closely with Analytics teams to deliver high-quality reusable data solutions aligned with enterprise standards.
Key Responsibilities:
Create and/or extend data models for Analytics team consumption.
Develop ETL jobs to move data accurately according to business and technical rules.
Build reusable data engineering components for cross-functional use.
Follow the SDLC process including testing and release management.
Produce design documents for review by the Design Authority.
Ensure builds align with Enterprise Architecture standards.
Participate in knowledge transfer (KT) hypercare and post-go-live support (PGLS).
Provide after-hours and weekend deployment support as required.
Requirements:
3 5 years of experience in data engineering or related roles.
Proficiency in ETL Azure Synapse SQL Stored Procedures Data Factory and Spark.
Strong understanding of data modelling and data integration best practices.
Experience following structured SDLC processes.
Ability to document designs and solutions clearly.
Knowledge of the CCBA environment and solutions will be an advantage.
ETL, Azure Synapse, SQL, Stored Procedures, Data Factory, and Spark
Employment Type
Full Time
