Big Data Engineer

Qualifications:

• Educational Background: Bachelor's degree in Computer Science, Engineering, or a related field.
• Professional Experience: 2–3 years of experience in data engineering, with expertise in designing and managing complex ETL pipelines.
• Technical Skills:

·         Proficiency in Python, PySpark, and Spark SQL for distributed and real-time data processing.

·         Deep understanding of real-time streaming systems using Kafka.

·         Experience with data lake and data warehousing technologies (Hadoop, HDFS, Hive, Iceberg, Apache Spark).

·         Strong knowledge of relational and non-relational databases (SQL, NoSQL).

·         Experience in cloud and on-premises environments for building and managing data pipelines

·         Experience with ETL tools like SAP BODS or similar platforms.

·         Knowledge of reporting tools like SAP BO for designing dashboards and reports.

·         Hands-on experience building end-to-end data frameworks and working with data lakes.

• Analytical and Problem-Solving Skills: Ability to translate complex business requirements into scalable and efficient technical solutions.
• Collaboration and Communication: Strong communication skills and the ability to work with cross-functional teams, including analysts, scientists, and stakeholders.
• Location: Willingness to work from Pune (on-site).

What is in it for you?

·         Work for one of the biggest software companies

·         Work in a culture of collaboration and innovation

·         Opportunities for personal development and career progression

·         Chance to collaborate with various internal users of Dassault Systèmes and also stakeholders of various internal and partner projects