ADF Data Engineer
@ Neshent TechnologiesADF Data Engineer
About the job
Our company focuses on data engineering solutions. This role involves designing and optimizing data pipelines using Azure Data Factory and Databricks for large-scale data processing.
Requirements
- Azure Data Factory experience
- Azure Databricks expertise
- Advanced Python or Scala
- Expert SQL skills
- Knowledge of data storage technologies
Qualifications
- 8-10 years professional experience
- 3+ years Azure experience
- Strong coding standards
- Experience with CI/CD
Full job description
Experience : 8–10 years overall, with 3+ years of Azure experience.
Required Skills
- Strong hands-on experience with Azure Data Factory (ADF) — pipelines, data flows, triggers, integration runtimes, parameterization, error handling, and retries.
- Strong experience with Azure Databricks — Notebooks, Jobs/Workflows, PySpark/Scala, Delta Lake, cluster configuration, and optimization.
- Advanced Python or Scala with strong coding standards, modularization, and unit testing (pytest).
- Expert SQL — CTEs, window functions, query tuning, and large datasets.
- Experience with ADLS Gen2, Delta Lake, Parquet, partitioning, Z-Ordering, OPTIMIZE, and VACUUM.
- Experience with Git, branching strategies, and CI/CD for ADF/Databricks.
- Exposure to Infrastructure as Code (IaC) is a plus.
Roles and Responsibilities
- Coding & Development: Design, develop, and optimize ADF/Databricks data pipelines and solutions.
- UI Testing: Perform functional/UI testing, data validation, and troubleshooting.
- Stakeholder Management: Collaborate with stakeholders, understand requirements, and communicate project status/issues effectively.
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