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

Senior Data Engineer with Azure Data Factory (ADF), DataBricks

Job Summary
The Senior Developer will be responsible for overseeing the development and implementation of solutions using Snowflake, Azure Data Factory (ADF), and Data Bricks. They will play a key role in coding, testing, and deploying data solutions to meet business needs efficiently.

• Key Responsibilities
  1. Developing, and maintaining scalable data pipelines using snowflake, azure data factory (adf), and data bricks.
  2. Collaborating with stakeholders to gather requirements and understand business needs for data processing and analysis.
  3. Optimizing and tuning data solutions to ensure high performance and reliability.
  4. Implementing data security measures and best practices to protect sensitive information.
  5. Troubleshooting and debugging data pipelines and resolving issues in a timely manner.
  6. Keeping uptodate with the latest trends and technologies in data engineering and recommending enhancements to existing systems.
  
  Skill Requirements
  1. Proficiency in snowflake, azure data factory (adf), and data bricks for building and managing data pipelines.
  2. Strong programming skills in languages like sql, python, or scala for data manipulation and transformation.
  3. Experience with cloud platforms like azure for data storage, processing, and analytics.
  4. Knowledge of data modeling, data warehousing concepts, and etl processes.
  5. Good analytical and problem-solving abilities to identify and address data related issues.
  6. Good communication skills to collaborate with cross functional teams and stakeholders effectively.
  
  Certifications: Snowflake SnowPro Core Certification, Microsoft Certified: Azure Data Engineer Associate.