Data Engineer
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Job Description
Data Engineer focusing on large-scale data systems and ETL processes. Working with cross-functional teams on big data projects and transitioning into Databricks & AI/ML.
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
Benefits:
- 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
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