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

Job Summary
The Senior Technical Specialist will be responsible for overseeing and managing Azure Data Factory (ADF), Azure Databricks, SQL, and Python processes. The primary objectives include optimizing data workflows, ensuring data reliability and integrity, and developing efficient data processing solutions using Azure technologies.

• Key Responsibilities
  1. Design, develop, and implement data pipelines using azure data factory (adf) to extract, transform, and load data.
  2. Utilize azure databricks to process and analyze large volumes of data efficiently.
  3. Write complex sql queries to extract and manipulate data for reporting and analysis purposes.
  4. Develop and maintain python scripts for data processing and automation tasks.
  5. Collaborate with cross functional teams to troubleshoot data related issues and optimize data processes.
  6. Stay updated on the latest azure technologies and recommend innovative solutions to improve data workflows.
  
  Skill Requirements
  1. Proficiency in azure data factory (adf) for building and scheduling data pipelines.
  2. Experience with azure databricks for processing big data workloads.
  3. Strong skills in writing sql queries for data extraction and manipulation.
  4. Proficient in python scripting for data processing and automation tasks.
  5. Problem-solving skills with the ability to analyze complex data systems and processes.
  6. Strong communication and teamwork abilities to collaborate effectively with different teams and stakeholders.
  
  Certifications: Relevant certifications in Azure Data Factory (ADF), Azure Databricks, SQL, Python are a plus.