Data Specialist

As Analytics Engineer, they will contribute to delivering high-quality data solutions aligned with agreed SLAs and budget constraints. Main responsibilities will include:

• Designing and maintaining optimal data pipeline architectures.
• Assembling large, complex datasets to meet business requirements.
• Identifying and implementing process improvements (e.g., automation, scalability, data delivery optimization).
• Building analytics tools to generate actionable insights on customer acquisition, operational efficiency, and other key metrics.
• Collaborating within an agile team to uphold operational and control procedures.
• Supporting data design and modeling within an Enterprise Data Platform in a cloud environment.

ABOUT CANDIDATES

We’re looking for candidates with strong technical expertise and a proactive mindset. Key qualifications include:

• Proven experience in building and maintaining scalable data pipelines and ETL/ELT processes.
• Advanced SQL skills and hands-on experience with Snowflake for analytical workloads.
• Experience with relational and NoSQL databases, optimized for analytics.
• Proficiency in dbt for data modeling, transformation workflows, and testing.
• Workflow orchestration experience using Airflow or similar tools.
• Strong Python programming skills for pipeline development and data processing.
• Familiarity with other programming languages (e.g., Java, Scala, C++) is a plus.
• Experience with AWS data services (e.g., Lambda, Glue, Kinesis, S3, Redshift); real-time or streaming data pipeline experience is highly valued.
• Knowledge of BI tools such as Power BI and Tableau.
• Strong analytical and implementation skills.
• Excellent communication skills in English, with the ability to explain technical concepts to senior stakeholders.