We are seeking a skilled Data Engineer with solid expertise in SQL, Python, Power BI and Databricks to design, build, and optimize scalable data pipelines and transformation processes. The ideal candidate will have hands-on experience in data engineering, ETL development, and working with large datasets within contemporary cloud-based data platforms. This role requires strong analytical skills and the ability to collaborate with cross-functional stakeholders to deliver high-quality data solutions.

Key Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion, transformation, and processing.
Build and optimize data workflows using SQL, Python, and Databricks.
Process and manage large volumes of structured and unstructured data efficiently.
Ensure data quality, integrity, and reliability across various data sources.
Monitor, troubleshoot, and optimize data processing performance.
Collaborate with business stakeholders and technical teams to understand data requirements and implement effective solutions.
Support reporting and analytics initiatives by providing clean,



reliable, and accessible datasets.
Participate in data architecture discussions and contribute to continuous improvement of data engineering practices.

Required Skills & Qualifications
Strong hands-on experience in SQL, Python, and Databricks.
Proven experience in Data Engineering, Data Transformation, and ETL/ELT development.
Experience with reporting and visualization tools such as Power BI and Tableau.
Experience working with large-scale datasets and optimizing data processing workflows.
Strong analytical, problem-solving, and debugging skills.
Experience working within cloud-based data platforms and modern data ecosystems.
Ability to work independently and in a cooperative team environment.
Good communication and stakeholder management skills.

.

Preferred Skills
Knowledge of Workforce Management (WFM) domain processes and reporting.
Exposure to data warehousing concepts and data modeling.

📌 Data Engineer Hyderabad (India)
🏢 ADP Private
📍 India