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Job Summary



The Associate Developer – IT is an individual contributor responsible for designing, developing, implementing, and supporting data engineering and analytics solutions for business users. The role focuses on building scalable Snowflake data warehouse solutions, developing Python-based ETL pipelines, and optimizing data processing workflows to support enterprise reporting and analytics.
What a typical day will look like:
- Design, develop, and maintain Snowflake stored procedures, tasks, streams, and data pipelines.
- Build and support Python ETL/ELT frameworks for data extraction, transformation, and loading from multiple source systems.
- Develop scalable and efficient solutions to address functional and business requirements within the Enterprise Data Warehouse (EDW).
- Analyze and optimize data ingestion, transformation, and query performance in Snowflake.
- Implement data quality checks, error handling, monitoring, and logging mechanisms within ETL processes.
- Work closely with business users, analysts, and cross-functional teams to gather requirements and deliver analytical solutions.
- Participate in application development, enhancement, troubleshooting, and production support activities.
- Leverage Snowflake features such as Secure Views, Dynamic Tables, Tasks, Streams, Snowpark, and Time Travel where appropriate.
- Contribute to data integration projects involving cloud platforms, databases, and enterprise reporting tools.
The experience we’re looking to add to our team:
- Strong proficiency in SQL with the ability to understand and work with relational data models.
- Hands-on experience in developing and optimizing Snowflake SQL scripts, stored procedures, and ETL workflows.
- Experience with Python programming for data engineering and automation.
- Knowledge of ETL/ELT concepts, data warehousing principles, and dimensional modeling.
- Ability to tune and optimize data loads, transformations, and query performance.
- Experience working with databases such as Snowflake, Oracle, SQL Server, or MySQL.
- Understanding of data validation, data quality, and troubleshooting techniques.
- Strong analytical and problem-solving skills.
- Enthusiasm and willingness to learn new cloud and data technologies.
- 1.5 to 3 years of experience in Data Engineering, ETL Development, or Data Warehouse Development.
- Minimum 1 year of hands-on experience with Snowflake.
- Experience in developing Python-based ETL pipelines using libraries such as Pandas, PySpark, SQLAlchemy, or Snowpark.
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Exposure to reporting and visualization tools such as Tableau, Power BI, or MicroStrategy.
- Familiarity with source control tools such as Git and CI/CD practices.
- Knowledge of data orchestration tools such as Airflow, Azure Data Factory, Informatica, or similar platforms.
What you’ll receive for the great work you provide:
BB04
Job Category
IT
Required Skills:
Optional Skills:
Flex pays for all costs associated with the application, interview or offer process, a candidate will not be asked for any payment related to these costs.
Flex is an Equal Opportunity Employer and employment selection decisions are based on merit, qualifications, and abilities. We do not discriminate based on: age, race, religion, color, sex, national origin, marital status, sexual orientation, gender identity, veteran status, disability, pregnancy status, or any other status protected by law. We're happy to provide reasonable accommodations to those with a disability for assistance in the application process. Please email accessibility@flex.com and we'll discuss your specific situation and next steps (NOTE: this email does not accept or consider resumes or applications. This is only for disability assistance. To be considered for a position at Flex, you must complete the application process first).
