Lead Data Technologist

4 days ago

kozhikode, India beBeeDataEngineer Full time

Technical Data Specialist We are seeking an experienced Technical Data Specialist to design, build, and maintain our data platform. This role is fully remote and may extend beyond the end of the contract. The ideal candidate will have deep expertise in SQL, modern data engineering practices, and tools, with deployment in an on-premises environment. Responsibilities You're an expert in SQL and can comprehend, write hard SQL queries comfortably Design and implement end-to-end data pipelines following medallion architecture patterns (bronze, silver, gold layers) Build and optimize data transformations using SQL for large-scale data processing Expert developing dimensional data models, aggregations, and KPI calculations in the gold layer for analytics consumption Implement data ingestion pipelines from multiple source systems including databases, APIs, and file-based sources Create and maintain data transformation logic using transformation frameworks Design and implement data quality checks, validation rules, and monitoring across all pipeline stages Build and manage workflow orchestration using Apache Airflow or similar orchestration tools Requirements Strong experience in data engineering building production-grade data pipelines and writing SQL queries Advanced SQL skills including complex queries, window functions, CTEs, and query performance tuning Strong understanding of dimensional modelling, star schemas, and data warehousing concepts Strong expertise in building data pipelines and query optimization Strong proficiency in Python for data engineering tasks and automation Hands-on experience with workflow orchestration tools: Apache Airflow, Dagster, or Prefect Experience with data lake storage formats: Delta Lake, Parquet, or Iceberg Experience with data quality frameworks and implementing validation rules at scale; familiarity with Great Expectations or similar data quality testing frameworks Experience deploying and managing data platforms in on-premises environments

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