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ETL Developer

2 months ago

Cincinnati, Ohio, United States ShiftCode Analytics Full time

Job Summary

ShiftCode Analytics is seeking a highly skilled ETL Developer to join our team. As an ETL Developer, you will be responsible for designing, developing, and implementing ETL processes using SSIS to extract, transform, and load data from various sources into our data warehouse.

Key Responsibilities

  • Data Extraction and Transformation
    • Design and develop ETL processes to extract data from various sources, including databases, files, and APIs.
    • Transform data into a standardized format for loading into our data warehouse.
  • Data Loading and Integration
    • Develop and implement ETL processes to load data into our data warehouse, ensuring data consistency and accuracy.
    • Integrate data from multiple sources, including databases, files, and APIs.
  • Collaboration and Communication
    • Collaborate with business stakeholders and data analysts to gather requirements and translate them into technical specifications.
    • Communicate technical information to non-technical stakeholders, ensuring effective data-driven decision-making.
  • Problem-Solving and Optimization
    • Identify and troubleshoot data integration issues, ensuring minimal downtime and optimal data processing.
    • Optimize ETL workflows for performance and scalability, ensuring efficient data processing and minimal downtime.
  • Documentation and Maintenance
    • Develop and maintain documentation for ETL processes, including data mappings, transformations, and workflow diagrams.
    • Ensure data quality and integrity by implementing data cleansing and validation processes.

Qualifications

  • Education
    • Bachelor's degree in Computer Science, Information Systems, or related field.
  • Experience
    • Minimum of 5 years of experience in ETL development, with a focus on SSIS.
  • Skills
    • Strong proficiency in SQL and relational database concepts.
    • Experience working with large datasets and complex data structures.
    • Knowledge of data warehousing principles and methodologies.
    • Excellent analytical and problem-solving skills.
    • Strong communication and collaboration skills, with the ability to work effectively in a team environment.