Azure Data Technical Specialist

Job description:

About HCLTech
HCLTech is a global technology company, spread across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. We re powered by our people a global, diverse, multi-generational talent - representing 161 nationalities whose unique spark, perspective and boundless passion drive our culture of proactive value creation and problem-solving.
Our purpose is to bring together the best of technology and our people to supercharge progress for everyone, everywhere our clients, partners, their stakeholders, communities, and the planet. As a company, we are deeply focused on accelerating our ESG agenda. We are also creating technology-enabled sustainable solutions with and for our clients and partners. We embed ESG imperatives into every aspect of our business and ensure that the progress we supercharge is responsible, inclusive and beneficial to all our stakeholders in the long term. We have committed to achieving net zero by 2040.

To learn more about how we can supercharge progress for you, visit www.hcltech.com

Azure Data Technical Specialist with Azure Data Factory (ADF),Azure Databricks,SQL,Oracle PL/SQL,Python

Job Summary
The Technical Specialist will be responsible for overseeing the Azure Data Factory (ADF), Azure Databricks, SQL, Python processes. They will play a key role in designing, developing, and maintaining data pipelines and ETL processes, leveraging the Azure cloud platform and related technologies to ensure optimized data transformation and storage.

• Key Responsibilities
  1. Design, develop, and implement data pipelines using azure data factory (adf) to move data between various sources and data warehouses.
  2. Utilize azure databricks for data transformations and analytics to derive valuable insights from data.
  3. Write and optimize sql queries to extract, manipulate, and analyze data from multiple sources.
  4. Develop and maintain python scripts for data processing and automation tasks.
  5. Collaborate with cross functional teams to understand data requirements and ensure data solutions meet business needs.
  6. Monitor data pipeline performance and troubleshoot issues to ensure data accuracy and reliability.
  7. Stay updated on industry trends and best practices related to azure data factory, azure databricks, sql, and python.
  
  Skill Requirements
  1. Proficiency in azure data factory (adf) for data integration and orchestration.
  2. Experience working with azure databricks for data engineering and analytics.
  3. Strong sql skills for data querying and manipulation.
  4. Proficient in python programming for data processing and automation.
  5. Strong analytical and problem-solving skills with a high attention to detail.
  6. Excellent communication and collaboration abilities to work effectively in a team environment.
  7. Ability to adapt to changing priorities and handle multiple tasks simultaneously.
  
  Certifications: Azure Data Factory, Azure Databricks, SQL, or Python certifications are a plus.