Jobbeschreibung:

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

Job Summary
The Technical Lead will be responsible for overseeing and leading projects related to Azure Data Factory (ADF), Azure Databricks, SQL, Oracle PL/SQL, and Python. The role involves designing, developing, and implementing data solutions while ensuring they meet the business requirements and align with best practices.

• Key Responsibilities
  1. Lead and manage end-to-end data engineering projects using azure data factory, azure databricks, sql, oracle pl/sql, and python.
  2. Collaborate with stakeholders to gather and understand requirements for data pipelines and analytics solutions.
  3. Design and develop etl processes, data models, and data integration solutions.
  4. Provide technical guidance and mentorship to the team members.
  5. Ensure data quality, data governance, and data security standards are maintained throughout the project lifecycle.
  6. Troubleshoot and optimize data pipelines and processes for performance and efficiency.
  7. Stay updated on the latest trends and technologies in data engineering and contribute to continuous improvement efforts.
  
  Skill Requirements
  1. Proficiency in azure data factory (adf) and azure databricks for building and managing data pipelines.
  2. Strong experience with sql and oracle pl/sql for data querying and manipulation.
  3. Advanced programming skills in python for scripting and data processing tasks.
  4. Knowledge of data modeling, data warehousing concepts, and database design principles.
  5. Ability to work in a collaborative team environment and communicate effectively with stakeholders.
  6. Strong analytical and problem-solving skills with attention to detail.
  7. Experience in data visualization tools and techniques is a plus.
  
  Certifications: Relevant certifications in Azure Data Factory, Azure Databricks, SQL, Oracle PL/SQL, or Python are advantageous.