Azure Data Technical Specialist
Skills
About the role
This is a senior data engineering role focused on building and owning Azure data platforms end to end. It suits an experienced Databricks and Azure Data Factory specialist who wants to lead architecture decisions rather than just implement them. HCL Technologies is hiring for this position, which is listed as remote.
What you’ll do
- Lead design and delivery of enterprise-grade data solutions using Azure Databricks
- Architect and optimize end-to-end pipelines using ADF, Databricks and Synapse
- Drive data ingestion, transformation and integration strategy across sources
- Give technical guidance to junior engineers and project teams
- Work with stakeholders to translate business needs into scalable solutions
- Tune performance, cost and reliability of Azure data platforms
- Build CI/CD pipelines and governance through Azure DevOps
- Enforce data quality, security and compliance standards
- Contribute to solution architecture and design reviews
What they’re looking for
- Strong expertise in Azure Databricks, including advanced implementation and optimization
- Experience with complex Azure Data Factory pipeline orchestration
- Working knowledge of Azure Synapse Analytics and ADLS Gen2
- Azure DevOps experience for CI/CD pipelines
- Deep understanding of ETL/ELT frameworks and data modeling
- Advanced SQL and relational database skills
- Hands-on Python and Spark, PySpark preferred
- Experience in solution design and architecture discussions
- Bachelor's degree in Computer Science, IT or a related field
Nice to have
- Client-facing or consulting experience
- Exposure to data governance, security and compliance frameworks
- Knowledge of streaming data processing with Kafka or Event Hub
- Familiarity with Agile/Scrum
- Azure Data Engineering or Databricks certification
Questions about this role
Is this role remote?
The posting lists the role as remote, though it separately labels the job type as on-site.
How many years of experience do I need?
The posting asks for 5 to 8 years of experience.
What skills are required?
Strong hands-on expertise in Azure Databricks, Azure Data Factory, Synapse, SQL, Python and Spark.
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