Job Summary:

We're seeking an experienced Data Engineer/ Sr Data Engineer / Lead Data Engineer

With expertise in data engineering across major data platforms. The ideal candidate will have a

strong background in Python, SQL, ETL, and data modeling, with experience in tools like

Teradata, Informatica, Hadoop, Spark, PySpark, ADF, Snowflake, and Big Data. Cloud

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

Data Engineer / Senior Data Engineer (B)