HCLTech
Azure Senior Data Lead (141146)
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Apply to Azure Senior Data Lead (141146) at HCLTechJob details
- Work type
- Onsite
- Posted
- 4 days ago
- Apply on
- hcm55.sapsf.eu
About this role
Requisition ID 141146 - Posted
Job Summary
We are seeking a skilled Databricks Engineer to design, develop, and optimize data solutions on the Microsoft Azure platform. This role is critical in enabling data-driven decision-making by building scalable data pipelines, integrating diverse data sources, and delivering high-quality analytics solutions aligned with business objectives.
Key Responsibilities
- Design and develop scalable data solutions using Azure Databricks and the Azure ecosystem
- Build and manage Azure Data Factory (ADF) pipelines for efficient data ingestion and transformation
- Integrate structured and unstructured data from multiple sources into Azure Data Lake / Analytics platforms
- Develop ETL processes to support analytics and reporting requirements
- Collaborate with cross-functional teams to deliver high-quality data solutions
- Translate business requirements into technical designs and implement scalable architecture
- Ensure performance optimization, data quality, and reliability across data pipelines
- Support deployment and version control using Azure DevOps
Skill Requirements
Mandatory Skills
- Strong expertise in Microsoft Azure Stack (T-SQL, SSIS, SSAS, SSRS)
- Hands-on experience with:
- Azure Data Factory (ADF)
- Azure Databricks
- Azure Synapse Analytics
- Azure DevOps
- Azure Storage / Data Lake
- Solid understanding of ETL processes and data integration
- Proficiency in SQL and relational databases
- Strong analytical and problem-solving skills
Preferred Skills (Good to Have)
- Experience with Python scripting and Spark APIs
- Exposure to client-facing roles and stakeholder interactions
- Familiarity with Agile / Scrum methodologies
Educational Qualification
- Bachelor’s degree in Computer Science / Information Technology / related field
Skill Evaluation Matrix (Snapshot)
- Azure Stack, ADF, Databricks, Synapse, ETL, SQL – Core strengths required
- DevOps, Storage/Data Lake – Supporting capabilities
- Python/Spark, Client Engagement, Agile – Added advantage
Other Requirements
1.Relevant certifications in Azure Data Factory, Azure Databricks, SQL, Oracle, or Python would be a plus.
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