Introduction
We're seeking an experienced 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 Google Cloud Platform) is a plus. The role requires a willingness to transition and upskill into Databricks & AI/ML projects.
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 Google Cloud Platform) 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
Rate:
Not specified
Location:
Remote
IR35 Status:
Not specified
Remote Status:
Remote
Industry:
Data & Analytics
Seniority Level:
Not Specified