Project Role : Data Engineer
Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.
Must have skills : Databricks Unified Data Analytics Platform
Good to have skills : NA
Minimum 5 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary:
As a Data Engineer, a typical day involves designing, developing, and maintaining comprehensive data solutions that support the generation, collection, and processing of data. This role requires creating efficient data pipelines and ensuring the integrity and quality of data throughout its lifecycle. The position also involves implementing processes to extract, transform, and load data, facilitating seamless migration and deployment across various systems. Collaboration with different teams to optimize data workflows and support organizational data needs is a key aspect of daily activities,



contributing to the overall data infrastructure and operational excellence.

Primary Technical Skills:
Databricks Notebooks - Experience in developing and managing Databricks notebooks (P1)
Python - For developing data processing workflows (P1)
Packages – Panda & Numpy (P1)
Apache Spark - Experience with Spark for big data processing, including Spark SQL and Spark Streaming.
ETL Tools - Knowledge of ETL processes and tools, specifically within the Databricks setting.
SQL - Strong skills for querying and managing data within Databricks SQL.
Performance Optimization- Skills in optimizing Spark jobs and troubleshooting performance issues.
Methodologies & Frameworks - Medallion architecture, Data Modelling (Star, Snowflake Schema), ETL, ELT, CI/CD, SDLC, Agile.

Secondary Technical Skills
ITIL incident, problem & change management
Visualization & Reporting - Power Bi
Cloud Platforms
- Familiarity

📌 Data Engineer (Gurugram)
🏢 Accenture
📍 Gurugram