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 engineeringStrong proficiency in Python, SQL, ETL, and data modelingExperience 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 plusWillingness to learn and adapt to new technologies, specifically Databricks & AI / MLNice to Have :
Experience with DatabricksKnowledge of AI / ML concepts and toolsCertification in relevant technologiesWhat We Offer :
Competitive salary and benefitsOpportunity to work on cutting-edge projectsCollaborative and dynamic work environmentProfessional growth and development opportunitiesRemote work opportunities & flexible hours