HODGE is looking to solve complex data challenges to empower data-driven decision-making across the organization by designing, building, and maintaining data pipelines, ensuring data quality, reliability, and accessibility.
Requirements
- Proficiency in technologies such as SQL, Python, Spark, Hadoop, Kafka, and cloud platforms (e.g., AWS, Azure, GCP).
- Extensive experience with relational databases (e.g., PostgreSQL, MySQL).
- Demonstrated proficiency in ETL tools and frameworks.
- Strong knowledge of data modeling techniques and best practices.
- Experience implementing data quality checks and governance processes.
- Experience mining, integrating, and analyzing data from various systems such as SAP, AWS, Microsoft Azure, timekeeping systems, SharePoint, and/or other database systems or APIs.
- Understanding of infrastructure-as-code, containerization (e.g., Docker), and CI/CD pipelines.
Responsibilities
- Build and optimize ETL (extract, transform, load) processes for data transformation, ensuring timely and efficient data delivery to support advanced analytics and reporting.
- Develop and implement KPIs to assess performance and efficiency, regularly evaluating progress against operational goals. Create sustainable analytical processes by documenting the development of each reporting tool and focus on sustainability.
- Ability to build, develop, design data architectures and maintain robust and scalable data pipelines to collect, process, and store data from various sources, ensuring data accuracy and consistency.
- Leverage data-driven insights and analytics to identify inefficiencies and implement data-based solutions for optimization.
- Implement data quality checks, validation procedures, and data governance practices to maintain high data integrity.
- Continuously monitor and optimize the performance of data pipelines and databases to ensure optimal data processing and storage.
- Implement and maintain data security best practices and ensure compliance with data privacy regulations.
Other
- Work closely with cross-functional teams to design, build, and maintain data pipelines, ensuring data quality, reliability, and accessibility.
- Work closely with teams across HODGE to understand data requirements and deliver data solutions that meet business needs.
- Provide guidance and mentorship to stakeholders and peers, fostering a culture of knowledge sharing and continuous improvement.
- A commitment to staying updated with the latest trends and technologies in data engineering and analytics.
- Effective communication skills to collaborate with cross-functional teams and convey technical concepts to non-technical stakeholders.
