Database Developer

at  FGF Brands

Job Description:

SUMMARY

As businesses increasingly rely on sophisticated data analytics, the need for skilled Database Developers who can build and maintain the backbone of data systems is paramount. In this role, you’ll be responsible for developing robust data pipelines that efficiently ingest, process, and store data from a variety of sources. Your work will enable scalable and accessible data repositories, ensuring that data scientists and analysts can derive actionable insights. This position requires a blend of technical proficiency in database management, ETL processes, and data warehousing, along with a proactive approach to solving complex data challenges and adapting to new technologies and methodologies in the rapidly evolving data landscape.
Reporting to the Team leader, Insight & Analytics the Database Developer will be responsible for the following duties, and complete special initiatives and projects as assigned.

REQUIRED EXPERIENCE

• A bachelor’s degree in data science, computer science, management information systems, finance, statistics, or related field
• Over 3-5 years of hands-on experience with cloud platforms such as Databricks and Azure Data Flow (ADF).
• Proficiency in Python, including a strong grasp of Object Oriented and Functional programming paradigms.
• A solid understanding of Spark concepts and distributed systems, including data transformations, RDDs, DataFrames, and Spark SQL.
• Excellent SQL skills and expertise in database management and tuning.
• Ability to devise and implement master data management processes.
• Experience with data lakehouse and medallion architecture using Delta Lake within Azure Databrick
• Proficiency in developing RESTful APIs
• Strong problem-solving and critical-thinking abilities.
• Strong communication and collaboration skills.
• Continuous learning and staying updated with the latest advancements in Azure Databricks and data engineering are essential for success in this role.

• Design, develop, and maintain robust database systems (Databricks, Synapse, Fabric) to meet the evolving needs of the organization.
• Implement and enhance cross-platform ETL processes for efficient data extraction, transformation, and loading, ensuring data accuracy and integrity.
• Collaborate with cross-functional teams to understand data requirements and contribute to the design and development of Data Warehouse solutions, optimizing across various DB technologies.
• Performance tuning of database queries, ETL processes, and Data Warehouse components to optimize system efficiency without redundant technology mentions.
• Monitor and maintain data flows to guarantee the continuous availability and reliability of data, proactively addressing and resolving any data-related issues and performance bottlenecks.
• Work closely with data architects and analysts to implement data modeling best practices, ensuring adherence to data governance standards.