Data Engineer (B)

• Job Summary:
• Were 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