Data Engineering Specialist

7 days ago

amravati, India beBeeDataEngineer Full time

Job Title - Data EngineerWe are seeking a skilled Data Engineer to join our team on a short-term contract basis. This is an excellent opportunity to work on a cutting-edge data platform using Medallion architecture.Job DescriptionThis role involves designing, building, and maintaining the data platform, with a focus on developing robust data pipelines, implementing data transformations, creating analytical data models, and ensuring data quality across the platform.The ideal candidate will have strong expertise in SQL, modern data engineering practices and tools, with deployment in an on-premises environment.Responsibilities: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 processingDevelop dimensional data models, aggregations, and KPI calculations in the gold layer for analytics consumptionImplement data ingestion pipelines from multiple source systems including databases, APIs, and file-based sourcesCreate and maintain data transformation logic using transformation frameworksDesign and implement data quality checks, validation rules, and monitoring across all pipeline stagesBuild and manage workflow orchestration using Apache Airflow or similar orchestration toolsRequirements:Strong experience in data engineering building production-grade data pipelines and writing SQL queriesAdvanced SQL skills including complex queries, window functions, CTEs, and query performance tuningStrong understanding of dimensional modelling, star schemas, and data warehousing conceptsStrong expertise in building data pipelines and query optimizationStrong proficiency in Python for data engineering tasks and automationHands-on experience with workflow orchestration tools: Apache Airflow, Dagster, or PrefectExperience with data lake storage formats: Delta Lake, Parquet, or IcebergExperience with data quality frameworks and implementing validation rules at scale; familiarity with Great Expectations or similar data quality testing frameworksExperience deploying and managing data platforms in on-premises environmentsThis is an exciting opportunity to work on a challenging project and gain valuable experience in data engineering.

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