ETL DEVELOPER @ VRITE SOURCES
We are seeking a highly skilled and experienced ETL Developer to design, develop, and maintain mission-critical data integration workflows in a remote capacity. The successful candidate will be responsible for the full lifecycle of data movement, including extracting data from diverse sources such as APIs, flat files, and cloud platforms, transforming it to meet complex business requirements, and loading it into centralized data warehouses. This role is pivotal in ensuring that our business intelligence and analytics teams have access to high-quality, reliable data to drive decision-making across the organization.
In this senior-level position, you will optimize ETL workflows for performance and scalability while troubleshooting and resolving complex data-related issues. You will collaborate extensively with data engineers, analysts, and various business stakeholders to ensure data integrity and compliance with security standards. The role requires a deep technical foundation in SQL, relational databases, and modern cloud platforms. Candidates should be comfortable working independently in a remote environment while maintaining rigorous documentation and version control standards for all data pipelines and mappings.
In this senior-level position, you will optimize ETL workflows for performance and scalability while troubleshooting and resolving complex data-related issues. You will collaborate extensively with data engineers, analysts, and various business stakeholders to ensure data integrity and compliance with security standards. The role requires a deep technical foundation in SQL, relational databases, and modern cloud platforms. Candidates should be comfortable working independently in a remote environment while maintaining rigorous documentation and version control standards for all data pipelines and mappings.
Key Requirements
Strong experience with ETL tools such as Informatica PowerCenter, Talend, or Microsoft SSIS.
Proficiency in SQL and advanced database concepts including joins, indexing, and stored procedures.
Extensive experience with relational databases like Oracle, MySQL, or PostgreSQL.
Deep knowledge of data warehousing concepts such as star schema, snowflake schema, and OLAP.
Familiarity with scripting languages including Python, Shell, or similar tools.
Solid understanding of data modeling and data integration techniques.
Experience working with cloud platforms like Amazon Web Services, Microsoft Azure, or Google Cloud.
Experience with big data technologies such as Apache Hadoop or Apache Spark.
Knowledge of data governance practices and data quality assessment tools.
Bachelor’s degree in Computer Science, Information Technology, or a related field.
Minimum of 8 to 9+ years of professional experience in ETL development or data engineering roles.