Design and implement Databricks solutions, develop data pipelines, optimize performance, ensure security, and lead technical initiatives.
Job Summary:
We're seeking an experienced Data Architect / Senior Data Architect/ Associate Data ArchitectExpertise 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:
● Relevent 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
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