Analytics Engineer at Becklar focusing on data engineering and analytics for life-saving solutions. Building scalable data pipelines and collaborating with stakeholders to support data-driven decisions.
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.
Enforce best practices in data governance, version control, and documentation.
Monitor and troubleshoot data workflows, ensuring SLAs are met.
Requirements
Bachelors or Masters in Computer Science, Information Systems, Data Science, or a related field.
3+ years of experience in data engineering or analytics engineering roles.
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) preferred.
Knowledge of data governance, privacy, and compliance preferred.
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