Data Platform Developer

As a Data Platform Developer at our company, your role involves designing, developing, and maintaining large-scale data systems, focusing on data quality, scalability, and performance. Your responsibilities include: - Designing, developing, and maintaining complex SQL queries, views, functions, and stored procedures - Building and optimizing data transformation, validation, and processing logic - Developing and supporting ETL / ELT pipelines for batch and incremental workloads - Performing SQL performance tuning for large datasets and complex joins - Supporting data integration workflows across multiple internal and external systems - Monitoring, troubleshooting, and resolving data quality and performance issues - Executing production support activities, including reprocessing, backfills, and recovery - Maintaining clear documentation for SQL logic, data pipelines, and dependencies - Collaborating with Analytics, Engineering, and Product teams to clarify requirements - Following and enforcing corporate security, privacy, and compliance standards Qualifications required for this role include: - Bachelors degree in computer science, Information Technology, Engineering, or a related field (or equivalent practical experience) - Strong hands-on experience with advanced SQL development and optimization - Proven experience working with relational databases and large-scale datasets - Hands-on experience building, maintaining, or supporting ETL / ELT pipelines - Ability to implement complex data transformations and validation logic using SQL - Experience with data processing, automation, or scripting using any programming language (Python, Java, C#, etc.) - Working experience with workflow orchestration platforms such as Airflow, Dagster, or similar tools - Solid understanding of SQL performance tuning, indexing, and optimization techniques - Experience working with distributed or columnar databases is a strong plus - Strong analytical, troubleshooting, and problem-solving skills - Ability to work independently while collaborating effectively with cross-functional teams Nice to have skills include: - Experience with OLTP systems and transactional database design - Hands-on experience with dbt for SQL-based transformations, modeling, and testing - Experience working with REST APIs and data integrations - Familiarity with containerization and orchestration tools such as Docker and Kubernetes - Experience with modern data platforms such as Apache Doris and/or Snowflake - Experience working with cloud-based data platforms and services - Exposure to data modeling, metadata management, and documentation best practices The company values associates who embody "The apex Way" - a specific combination of values, skills, and behaviors that contribute to success. Additionally, the company offers competitive benefits and initiatives such as BeWell@apex to support employees' wellness and professional growth. As a Data Platform Developer at our company, your role involves designing, developing, and maintaining large-scale data systems, focusing on data quality, scalability, and performance. Your responsibilities include: - Designing, developing, and maintaining complex SQL queries, views, functions, and stored procedures - Building and optimizing data transformation, validation, and processing logic - Developing and supporting ETL / ELT pipelines for batch and incremental workloads - Performing SQL performance tuning for large datasets and complex joins - Supporting data integration workflows across multiple internal and external systems - Monitoring, troubleshooting, and resolving data quality and performance issues - Executing production support activities, including reprocessing, backfills, and recovery - Maintaining clear documentation for SQL logic, data pipelines, and dependencies - Collaborating with Analytics, Engineering, and Product teams to clarify requirements - Following and enforcing corporate security, privacy, and compliance standards Qualifications required for this role include: - Bachelors degree in computer science, Information Technology, Engineering, or a related field (or equivalent practical experience) - Strong hands-on experience with advanced SQL development and optimization - Proven experience working with relational databases and large-scale datasets - Hands-on experience building, maintaining, or supporting ETL / ELT pipelines - Ability to implement complex data transformations and validation logic using SQL - Experience with data processing, automation, or scripting using any programming language (Python, Java, C#, etc.) - Working experience with workflow orchestration platforms such as Airflow, Dagster, or similar tools - Solid understanding of SQL performance tuning, indexing, and optimization techniques - Experience working with distributed or columnar databases is a strong plus - Strong analytical, troubleshooting, and problem-solving skills - Ability to work independently while collab