Data Architect

23 hours ago

erode, India beBeeData Full time

Data Engineering PositionAbout UsWe are a fast-growing distributed workforce enabler, helping companies scale with top global talent. We empower businesses by providing world-class software engineers, operations support, and infrastructure to help them grow faster and better.Position: Snowflake & Databricks Data Engineer / Data Science EngineerExperience: 9+ YearsLocation Preference: Any LocationJoining: ImmediateJob SummaryWe are looking for an experienced professional with strong hands-on expertise in building scalable data pipelines, designing data warehousing solutions, and working with modern cloud-based data engineering frameworks.Key ResponsibilitiesDesign, 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)Benefits and PerksThe ideal candidate will have the opportunity to work on challenging projects, collaborate with talented professionals, and contribute to the growth and success of our company. They will also have access to ongoing training and development opportunities, as well as a competitive salary and benefits package.Interview Process (Remote)Pre-Screening (15 minutes) – Basic communication + initial technical checkTechnical Screening Round – Detailed technical discussionClient Technical Round – Final technical evaluation

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