Data Solutions Lead
hace 2 semanas
In this exciting opportunity, you will have the chance to work with a talented team of professionals at Dow Jones as a Lead Data Engineer. As a key member of our team, you will be responsible for designing, developing, and maintaining database architecture and code initiatives that support our business goals.
Main Responsibilities:
- Develop and implement data governance strategies, focusing on data ingestion into Snowflake, master and reference data management, and data quality automation for price reporting teams.
- Collaborate closely with product teams to deploy, manage, and enhance data models for metadata and master data systems, delivering timely, effective, high-performance solutions.
- Design and implement scalable data architectures and automated pipelines for seamless data ingestion and quality assurance.
- Translate business data requirements into actionable solutions by identifying data needs and sources, and ensuring their alignment with system architecture.
- Contribute to product improvement and revenue growth by creating robust data infrastructures that support new and enhanced features.
- Foster team cohesion and guide, mentor, and develop team members.
Key Skills and Qualifications:
- A degree in Computer Science or a related technical field, or equivalent practical experience.
- At least 4 years of hands-on experience as a database developer (SQL Server or equivalent).
- Skilled in designing and creating data models to enable seamless integration of multiple data sets and systems.
- Capable of writing SQL queries and statements to explore source data and data-related issues.
- Familiarity with cloud-based data technologies and architecture.
- Experience with Python for data analysis and automation.
- Knowledgeable in building CI/CD pipelines for code deployment.
- Proficient in BI tooling, with a preference for Power BI.
- Deep knowledge of ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes, with expertise in designing, developing, and optimizing pipelines (i.e., Glue, Airflow) for Snowflake.
- Experience with Snowflake-specific SQL, including schema design, data modeling, and query optimization to ensure efficient performance.
- Knowledge of metadata management, reference data management, master data management, and data quality.
- A strategic thinker and proactive learner, able to manage time and juggle competing demands independently.
- A critical problem-solver who thrives in analyzing and resolving technical issues.
- A collaborative team player with strong interpersonal and communication abilities.
Benefits:
- A competitive salary package.
- A hybrid working model.
- Restaurant ticket.
- Pension Scheme.
- Healthcare Coverage and Life & Disability Insurance.
- Teleworking allowance.
- Access to wellness platforms, mindfulness apps, and free fitness classes.
- Family Care Support.
- Referral Bonus.
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