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Our client offers a collaborative and dynamic work environment. By joining their team, you’ll have the opportunity to contribute meaningfully to their data-driven strategies while growing in a culture that values innovation, excellence, and service.
Advanced proficiency in SQL Transact, SQL Server, SSIS, and SSRS, including performance tuning and query optimization.Strong knowledge of AWS services related to data management.Experience with Python libraries such as Pandas, NumPy, PySpark, and SQLAlchemy for data manipulation and integration.Experience in ETL/ELT pipeline development, data integration strategies, and best practices in data engineering. Database administration experience, including index management, query optimization, and performance tuning.Strong understanding of regulatory compliance, data governance, and financial data structures.Strong ability to gather and document requirements directly from stakeholders.Agility in problem-solving and adapting to changing priorities.Working experience in an Agile environment with sprint planning and backlog grooming.Duties and ResponsibilitiesElicit and document business requirements directly from data clients.Develop and maintain ETL/ELT data pipelines using SSIS and AWS Glue for large-scale data ingestion and transformation. Implement database solutions with partitioning, indexing, and stored procedures to improve query execution times. Automate deployment pipelines using GitLab CI/CD to streamline development and operational workflows. Implement data governance frameworks, access controls, and compliance protocols to meet financial industry regulations.Deliver consistent, high-quality service while managing expectations.Contribute to a positive and energizing workplace culture.Encourage and embrace innovation, agility, and collaboration.CompetenciesMinimum 5 years of hands-on SQL development experience. .Strong problem-solving skills with a focus on backend SQL development.Ability to translate a documented specification into a robust implemented solution.Advanced proficiency in SQL Transact, SQL Server, SSIS, and SSRS, including performance tuning and query optimization.Strong knowledge of AWS services related to data management.Experience with Python libraries such as Pandas, NumPy, PySpark, and SQLAlchemy for data manipulation and integration.Experience in ETL/ELT pipeline development, data integration strategies, and best practices in data engineering. Database administration experience, including index management, query optimization, and performance tuning.Strong understanding of regulatory compliance, data governance, and financial data structures.Strong ability to gather and document requirements directly from stakeholders.Agility in problem-solving and adapting to changing priorities.Working experience in an Agile environment with sprint planning and backlog grooming.Duties and ResponsibilitiesElicit and document business requirements directly from data clients.Develop and maintain ETL/ELT data pipelines using SSIS and AWS Glue for large-scale data ingestion and transformation. Implement database solutions with partitioning, indexing, and stored procedures to improve query execution times. Automate deployment pipelines using GitLab CI/CD to streamline development and operational workflows. Implement data governance frameworks, access controls, and compliance protocols to meet financial industry regulations.Deliver consistent, high-quality service while managing expectations.Contribute to a positive and energizing workplace culture.Encourage and embrace innovation, agility, and collaboration.CompetenciesMinimum 5 years of hands-on SQL development experience. .Strong problem-solving skills with a focus on backend SQL development.Ability to translate a documented specification into a robust implemented solution.
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