Data Engineer (B)

knowledge (AWS, Azure, or GCP) is a plus. The role requires a willingness to transition and

upskill into Databricks & AI/ML projects.

Key Responsibilities:

● Design, develop, and maintain large-scale data systems

● Develop and implement ETL processes using various tools and technologies

● Collaborate with cross-functional teams to design and implement data models

● Work with big data tools like Hadoop, Spark, PySpark, and Kafka

● Develop scalable and efficient data pipelines

● Troubleshoot data-related issues and optimize data systems

● Transition and upskill into Databricks & AI/ML projects

Requirements:

● Relevant  years of experience in data engineering

● Strong proficiency in Python, SQL, ETL, and data modeling

● Experience with one or more of the following:

○ Teradata

○ Informatica

○ Hadoop

○ Spark

○ PySpark

○ ADF

○ Snowflake

○ Big Data

○ Scala

○ Kafka

● Cloud knowledge (AWS, Azure, or GCP) is a plus

● Willingness to learn and adapt to new technologies, specifically Databricks & AI/ML

Nice to Have:

● Experience with Databricks

● Knowledge of AI/ML concepts and tools

● Certification in relevant technologies

What We Offer:

● Competitive salary and benefits

● Opportunity to work on cutting-edge projects

● Collaborative and dynamic work environment

● Professional growth and development opportunities

● Remote work opportunities & flexible hours