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 Engineer with Azure Data Factory (ADF),Azure Databricks,SQL,Python

Job Summary
The Senior Developer will be responsible for developing and maintaining solutions using Azure Data Factory (ADF), Azure Databricks, SQL, and Python. The primary objectives includes building and optimizing data pipelines for efficient data processing and analysis.

• Key Responsibilities
  1. Develop and implement end-to-end data pipelines using azure data factory (adf) and azure databricks to extract, transform, and load data.
  2. Write complex sql queries to retrieve and manipulate data from databases.
  3. Utilize python for scripting and automation tasks related to data processing and analysis.
  4. Collaborate with data engineers and analysts to understand data requirements and deliver appropriate solutions.
  5. Monitor and optimize data workflows to ensure high performance and scalability.
  6. Troubleshoot and resolve issues related to data pipelines and data quality.
  
  Skill Requirements
  1. Strong understanding of azure data factory (adf) for building and managing data pipelines.
  2. Experience with azure databricks for big data processing and analytics.
  3. Strong sql skills for querying and manipulating data in relational databases.
  4. Solid knowledge of python programming language for data manipulation and automation.
  5. Understanding of data integration concepts and etl processes.
  6. Ability to work in a collaborative team environment and communicate effectively with stakeholders.
  
  Certifications: Azure Data Engineer Associate or Microsoft Certified: Azure Data & AI Associate certification is a plus.