Azure Senior Technical Lead_8+ years_PAN INDIA
- Source: Naukri
- HCLTech
- $15,799.78 to $31,599.57 /yr
- On-site
- Ahmedabad
- Full-Time
- Senior
Job Description
HI
Greetings for the day !!!
We at HCL are looking for Databricks engineers with exp in python, Pyspark
Location: PAN INDIA
If interested reach us on [email protected]
Provide us the details below:
Y\Total years of exp:
Exp in Azure Data Factory:
Exp in Azure Data Bricks:
Exp in SQL:
Exp in Python/Pyspark:
Current CTC:
Expected CTC:
Current location:
Preferred location:
DETAILED RESPONSIBILITIES:
- Design and develop software solutions to implement innovative features and support existing applications.
- Ingest and integrate data from various source systems into the Azure Analytics Platform using Azure Databricks and Azure Data Factory.
- Construct robust Azure Data Factory (ADF) pipelines to facilitate efficient data ingestion and transformation processes.
- Collaborate with the technical team to provide design and coding support, ensuring project deliverables are met.
- Engage with clients to gather and interpret business requirements, translating them into actionable solutions.
SKILL REQUIREMENTS:
- Demonstrated technical proficiency with the Microsoft Azure Stack (T-SQL, SSIS, SSAS, SSRS).
- Expertise in Azure Data Factory, Azure Databricks, Azure Synapse Analytics, Azure DevOps, and Azure Storage/Data Lake.
- Experience with ETL processes and strong analytical skills for report development.
- Proficiency in relational databases and SQL language.
- Bachelor’s degree in Computer Science, Information Technology, or a related field.
OTHER REQUIREMENTS (OPTIONAL):
- Experience with Python scripting and Spark APIs is highly desirable.
- Previous experience in a client-facing role will be advantageous.
- Familiarity with agile development methodologies and practices.
Skills
- microsoft-azure
- azure-data-factory
- Python
- pyspark
- azure-databricks
- databricks
- azure-stack
- microsoft-ssrs
- azure-synapse
- microsoft-azure-synapse
- azure-synapse-analytics
- azure-devops
- azure-storage
- microsoft-azure-storage
- Spark
