Data Engineer

You are responsible for designing, developing, and maintaining ETL pipelines and data integration workflows for enterprise data platforms. This includes developing and optimizing SQL, PLSQL, and T-SQL scripts, queries, and stored procedures for efficient data processing. You will also be building and maintaining scalable data warehousing and modern data platform solutions. Other key responsibilities include collaborating with analytics, business, and engineering teams to gather requirements and deliver data-driven solutions. You will design and implement data models to support reporting, analytics, and operational systems. It is crucial to ensure data quality, consistency, governance, and integrity across enterprise datasets. Additionally, you will troubleshoot and resolve data pipeline, database, and performance-related issues. Supporting data migration, transformation, and integration initiatives across multiple systems is also part of your role. You will participate in code reviews, testing, documentation, and continuous improvement initiatives. Your skills in data, SQL, and analytics will be essential in this role. Make sure to work closely with stakeholders to understand business needs and translate them into technical solutions. Maintaining adherence to development standards, security guidelines, and best practices in data engineering is crucial for success in this position. (*Note: Scoutit is an independent candidate sourcing partner for this hiring. All applications, candidate screening, and hiring-related actions are conducted directly by the respective employers authorized recruitment team. Relevant candidates will be contacted via email and asked to fill in additional details as part of the next stage of the application process.) You are responsible for designing, developing, and maintaining ETL pipelines and data integration workflows for enterprise data platforms. This includes developing and optimizing SQL, PLSQL, and T-SQL scripts, queries, and stored procedures for efficient data processing. You will also be building and maintaining scalable data warehousing and modern data platform solutions. Other key responsibilities include collaborating with analytics, business, and engineering teams to gather requirements and deliver data-driven solutions. You will design and implement data models to support reporting, analytics, and operational systems. It is crucial to ensure data quality, consistency, governance, and integrity across enterprise datasets. Additionally, you will troubleshoot and resolve data pipeline, database, and performance-related issues. Supporting data migration, transformation, and integration initiatives across multiple systems is also part of your role. You will participate in code reviews, testing, documentation, and continuous improvement initiatives. Your skills in data, SQL, and analytics will be essential in this role. Make sure to work closely with stakeholders to understand business needs and translate them into technical solutions. Maintaining adherence to development standards, security guidelines, and best practices in data engineering is crucial for success in this position. (*Note: Scoutit is an independent candidate sourcing partner for this hiring. All applications, candidate screening, and hiring-related actions are conducted directly by the respective employers authorized recruitment team. Relevant candidates will be contacted via email and asked to fill in additional details as part of the next stage of the application process.)