Data Engineer / Senior Data Engineer (B)

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

Originally posted on Himalayas