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Job Description & How to Apply Below
We are looking for a Data Engineer to join our data engineering team and help design, build, and maintain scalable data pipelines and data platforms. The ideal candidate will have solid hands-on experience with Azure Data Factory and Snowflake, and will work closely with business, analytics, and downstream reporting teams to deliver reliable, high quality data solutions.
Responsibilities
Design, develop, and maintain end-to-end data pipelines using Azure Data Factory (ADF)
Build and optimize data models and transformations in Snowflake
Develop ELT/ETL workflows to ingest data from multiple sources (databases, APIs, files, cloud storage)
Ensure data quality, consistency, and reliability across pipelines
Implement incremental loads, CDC, and error handling mechanisms
Optimize Snowflake performance through clustering, warehouse sizing, partitioning, and query tuning
Implement monitoring, logging, and alerting for data pipelines
Work closely with Power BI / reporting teams to enable analytics-ready datasets
Follow best practices for security, data governance, and cost optimization
Participate in code reviews, design discussions, and documentation
Comply with the terms and conditions of the employment contract, company policies and procedures, and any and all directives (such as, but not limited to, transfer and/or re-assignment to different work locations, change in teams and/or work shifts, policies in regards to flexibility of work benefits and/or work environment, alternative work arrangements, and other decisions that may arise due to the changing business environment).
The Company may adopt, vary or rescind these policies and directives in its absolute discretion and without any limitation (implied or otherwise) on its ability to do so
Technical Skills
Solid hands-on experience with Azure Data Factory
Pipelines, triggers, datasets, linked services
Parameterized pipelines and dynamic mapping
Solid experience with Snowflake
SQL, views, stored procedures
Performance tuning and cost optimization
Experience with data warehousing concepts (fact/dimension tables, star schema)
Experience working with cloud data sources (Azure Blob Storage, ADLS, S3, APIs, RDBMS)
Understanding of ETL/ELT architectures
Solid SQL skills and understanding of dimensional modeling
Preferred Qualifications:
Experience with Power BI or other BI tools
Experience with CI/CD for data pipelines
Experience with data governance and security models
Knowledge of Azure Dev Ops / Git
Exposure to Python or Spark
Soft Skills
Solid problem-solving and analytical skills
Ability to work independently and within a team
Good communication skills to work with technical and non-technical stakeholders
Attention to detail and ownership mindset
What We Offer
Opportunity to work on modern cloud data platforms
Exposure to enterprise-scale data systems
Collaborative and learning-focused team environment
Clear growth path toward Senior / Techno-Functional roles
Competitive compensation and benefits
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