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Job Summary
We are seeking an experienced IT professional to support cloud data platforms, automation, and secure data workflows. You will work with modern AWS and Databricks tools, partnering across teams to deliver reliable, scalable solutions that strengthen business reporting and operations.

Key Responsibilities
● Design, build, and maintain cloud-native data warehouse and analytics solutions on Databricks and AWS.
● Develop efficient ETL/ELT workflows using SQL, NoSQL, AWS Glue, Athena, and related data tools.
● Automate data processing, integration, and operational tasks using Python and scripting best practices.
● Manage data storage and processing services such as Amazon S3, RDS, and Kinesis for reliable performance.
● Use Git and GitHub for version control, code collaboration, and clean deployment management.
● Work closely with cross-functional teams to deliver data solutions, improve workflows, and support projects.Job Summary
We are seeking an experienced IT professional to support cloud data platforms, automation, and secure data workflows. You will work with modern AWS and Databricks tools, partnering across teams to deliver reliable, scalable solutions that strengthen business reporting and operations.

Key Responsibilities
● Design, build, and maintain cloud-native data warehouse and analytics solutions on Databricks and AWS.
● Develop efficient ETL/ELT workflows using SQL, NoSQL, AWS Glue, Athena, and related data tools.
● Automate data processing, integration, and operational tasks using Python and scripting best practices.
● Manage data storage and processing services such as Amazon S3, RDS, and Kinesis for reliable performance.
● Use Git and GitHub for version control, code collaboration, and clean deployment management.
● Work closely with cross-functional teams to deliver data solutions, improve workflows, and support projects. Job Summary
We are seeking an experienced IT professional to support cloud data platforms, automation, and secure data workflows. You will work with modern AWS and Databricks tools, partnering across teams to deliver reliable, scalable solutions that strengthen business reporting and operations.

Key Responsibilities
● Design, build, and maintain cloud-native data warehouse and analytics solutions on Databricks and AWS.
● Develop efficient ETL/ELT workflows using SQL, NoSQL, AWS Glue, Athena, and related data tools.
● Automate data processing, integration, and operational tasks using Python and scripting best practices.
● Manage data storage and processing services such as Amazon S3, RDS, and Kinesis for reliable performance.
● Use Git and GitHub for version control, code collaboration, and clean deployment management.
● Work closely with cross-functional teams to deliver data solutions, improve workflows, and support projects. 

● Bachelor's or Master's degree in IT, Information Systems, Computer Science, Computer Engineering, or related field.
● Proven experience with cloud-native data warehouse platforms, especially Databricks.
● Strong knowledge of SQL, NoSQL, ETL tools, and modern data pipeline development.
● Hands-on experience with AWS services including S3, RDS, Glue, Athena, and Kinesis.
● Advanced Python scripting skills for automation, data manipulation, and system integration.
● Solid experience using Git and GitHub in collaborative development environments.
● Strong teamwork, communication, and coordination skills in cross-functional settings.
● Familiarity with Databricks Lakehouse architecture is highly desirable.
● Relevant data engineering or cloud certifications are an advantage. ● Bachelor's or Master's degree in IT, Information Systems, Computer Science, Computer Engineering, or related field.
● Proven experience with cloud-native data warehouse platforms, especially Databricks.
● Strong knowledge of SQL, NoSQL, ETL tools, and modern data pipeline development.
● Hands-on experience with AWS services including S3, RDS, Glue, Athena, and Kinesis.
● Advanced Python scripting skills for automation, data manipulation, and system integration.
● Solid experience using Git and GitHub in collaborative development environments.
● Strong teamwork, communication, and coordination skills in cross-functional settings.
● Familiarity with Databricks Lakehouse architecture is highly desirable.
● Relevant data engineering or cloud certifications are an advantage.