Chief Data Pipeline Architect

2 weeks ago


Koṭa, India beBeeDataEngineer Full time

About the RoleWe are seeking an accomplished data engineer with expertise in designing and implementing scalable data pipelines, as well as experience working with modern cloud-based data engineering frameworks.Key Responsibilities:Design and optimize ETL/ELT data pipelines using Snowflake and Databricks.Develop data models, schemas, and data warehousing solutions.Implement complex transformations using PySpark, SQL, and Spark.Work with cloud platforms (AWS / Azure / GCP) for data ingestion, orchestration, and automation.Ensure strong data quality, governance, and performance optimization.Collaborate with cross-functional teams to deliver high-quality results.Required Skills:Strong 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 processing.Experience with ETL tools and automated pipelines.Familiarity with cloud tools like AWS Glue, Azure Data Factory, or GCP equivalents.Interview Process:Pre-Screening (15 minutes): Basic communication and initial technical check.Technical Screening Round: Detailed technical discussion.Client Technical Round: Final technical evaluation.



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