[F] Data Architect
Job Summary
Key Responsibilities
Requirements
Nice to Have
What We Offer
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.
- 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
Relevant 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, and cloud knowledge (AWS, Azure, or GCP) is a plus. Willingness to learn and adapt to new technologies, specifically Databricks & AI/ML.
Experience with Databricks, knowledge of AI/ML concepts and tools, and certification in relevant technologies are nice to have.
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.