Master Data Architect

1 week ago

aligarh, India beBeeData Full time

Job DescriptionWe are seeking an experienced professional to lead the development of scalable data pipelines, design robust data warehousing solutions, and collaborate with cross-functional teams.This role requires hands-on expertise in building ETL/ELT data pipelines using Snowflake and Databricks, developing scalable data models, schemas, and data warehousing solutions.The ideal candidate will have strong proficiency in SQL, Python, and distributed data processing, as well as experience with cloud platforms like AWS, Azure, or GCP for data ingestion, orchestration, and automation.In addition, the candidate should be able to ensure strong data quality, governance, and performance optimization, and collaborate with data scientists, analysts, and other teams.Main Responsibilities:Design, build, and optimize ETL/ELT data pipelines using Snowflake and DatabricksDevelop scalable data models, schemas, and data warehousing solutionsImplement complex transformations using PySpark, SQL, and SparkWork with cloud platforms (AWS / Azure / GCP) for data ingestion, orchestration, and automationEnsure strong data quality, governance, and performance optimizationCollaborate with data scientists, analysts, and cross-functional teamsBuild and deploy ML workflows and notebooks (preferred)Required Skills and QualificationsStrong hands-on experience with Snowflake (warehouses, stages, streams, tasks, stored procedures)Expertise in Databricks (PySpark, Delta Lake, notebooks, jobs)Strong proficiency in SQL, Python, and distributed data processingExperience with ETL tools and automated pipelinesFamiliarity with cloud tools like AWS Glue, Azure Data Factory, or GCP equivalentsKnowledge of CI/CD for data engineering (added advantage)BenefitsInterview Process:Pre-Screening (15 minutes) – Basic communication + initial technical checkTechnical Screening Round – Detailed technical discussionClient Technical Round – Final technical evaluation

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