We are HCLTech, one of the fastest-growing large tech companies in the world and home to 220,000 people across 60 countries, supercharging progress through industry-leading capabilities centered around Digital, Engineering, Cloud and AI.

The driving force behind that work, our people, are diverse, creative, and passionate, raising the bar for excellence on a regular basis. We, in turn, work hard to bring out the best in them as we strive to help them find their spark and become the best version of themselves that they can be.

Key Responsibilities

Python/PySpark Expertise:
Proficiency in Python/PySpark frameworks/libraries for data processing and analysis
Azure Databricks (ADB) Expertise:
Strong knowledge and experience working with Azure Databricks for data engineering tasks
SQL Skills:
Expertise in SQL for querying and manipulating data in relational databases
ETL and Process Flow Design:
Design and implement complex ETL (Extract, Transform, Load) processes and workflows to ensure efficient data movement and transformation
Data Transformation Frameworks:
Proficiency across various data transformation frameworks to handle diverse data processing requirements
Understanding of Underlying Systems:
Familiarity with the underlying systems, including storage, processing, and visualization technologies to optimize data workflows

Education/certification

• Bachelor's degree in Computer Science, Information Technology, or related field 
• Azure certification

Key Skills Required

• Python/PySpark Expertise
• Azure Databricks (ADB) Expertise
• Proven experience as a Data Engineer or similar role
• Strong proficiency in Python/PySpark, SQL, and Azure Data Factory
• Experience designing and implementing ETL processes and data pipelines
• Familiarity with data transformation frameworks and workflow orchestration tools like Apache Airflow
• Understanding of database systems, cloud platforms and CI/CD practices