At Becklar, we empower organizations to make life-saving decisions through reliable, real-time data solutions. We are seeking an experienced Analytics Engineer to join our data team. This role bridges the gap between data engineering and data analytics, enabling scalable, high-quality data solutions.
Requirements
- Proficiency in SQL and large-scale data modeling.
- Experience with Big Data tools
- Hands-on experience with ELT/ETL and orchestration tools
- Familiarity with cloud data ecosystems (AWS, GCP, or Azure).
- Strong understanding of data warehousing and analytics processing.
- Experience with containerization and CI/CD (e.g., DevOps pipelines, GitHub Actions).
- Familiarity with BI tools (Sigma preferred).
Responsibilities
- Design, develop, and maintain scalable data pipelines using modern Big Data tools (Fivetran, Snowflake, Sigma)
- Transform complex, raw datasets into clean, curated data models (e.g., dimensional models, star/snowflake schemas).
- Write efficient SQL and reusable data transformation logic using tools like dbt.
- Collaborate with analysts, data scientists, and stakeholders to define and deliver data solutions.
- Ensure data quality, accuracy, and timeliness across the data platform.
- Optimize queries and system performance in large-scale environments.
- Work with cloud infrastructure (AWS, GCP, or Azure) to manage data storage and compute resources.
Other
- Bachelor’s or Master’s in Computer Science, Information Systems, Data Science, or a related field.
- 3+ years of experience in data engineering or analytics engineering roles.
- Knowledge of data governance, privacy, and compliance.
- Make a measurable impact on business performance through data.
- Collaborate with high-caliber data and engineering teams.
