Key Responsibilities

- Analyze and organize raw data from multiple sources.
- Design and build data systems and pipelines using tools like Apache NiFi.
- Evaluate business needs and translate them into technical requirements.
- Interpret trends and patterns through complex data analysis and reporting.
- Prepare data for prescriptive and predictive modeling. Develop algorithms and prototypes for data-driven solutions.
- Enhance data quality and reliability using Spark and schedule PySpark jobs with Airflow.
- Identify opportunities for data acquisition and integration. Build analytical tools and programs to support business objectives.
- Collaborate with data scientists and architects on various projects.

Must-Have Skills

- Experience: 4–6 years as a Data Engineer.
- Robust technical expertise in data models,



data mining, and segmentation techniques.
- Proficiency in programming languages such as Java,Python and Spark
- Hands-on experience with SQL database design and optimization.
- Solid numerical and analytical skills.
- apache kafka & apache spark streaming is a plus.
- Educational Qualification: Bachelor’s degree in Computer Science, IT, or related field (Master’s preferred).
- Data engineering certification (e.g., IBM Certified Data Engineer) is a plus.
- Preferred Tools & Technologies: Apache NiFi, Spark, Airflow SQL, MySQL Java, Python Cloud platforms (AWS, GCP, or Azure)

📌 Data Engineer (Gurugram)
🏢 Comviva
📍 Gurugram