Key Responsibilities:

- Manage and transform big data sets using PySpark, Spark-Scala, NumPy, and pandas.
- Handle analytics and data engineering projects using Python, Spark, SQL, and related tools.
- Collaborate with customers on Python model evolution and code management.
- Develop client-ready deliverables independently with minimal supervision.
- Communicate effectively with clients and present analytical solutions clearly.

Data Management Skillsets:

- Understand data models and identify opportunities for ETL optimization.
- Translate functional requirements into technical specifications.
- Work with advanced SQL functionalities such as joins, nested queries, and procedures.
- Exposure to ETL tools is preferred.

Candidate Profile:

- 3+ years of experience in analytics and data engineering.
- Robust knowledge of Python, PySpark, SQL, Hadoop, Spark, and HIVE.
- Excellent analytical, problem-solving, and communication skills.

Skills: Spark, Pyspark, Sql, data engineering , Python, Hadoop

Experience: 3.00-8.00 Years

📌 Data engineer (Pune)
🏢 Aspyra HR Services
📍 Pune