Senior Data Engineering Leader

19 hours ago

guntur, India beBeeDataEngineer Full time

Job Title: Senior Data Engineer - Cloud & Python We are seeking a skilled and experienced Senior Data Engineer to join our team. The ideal candidate will have strong expertise in Python programming and Google Cloud Platform (GCP) to design, develop, and maintain robust and scalable ETL data pipelines.Key Responsibilities:Design, develop, test, and maintain scalable ETL data pipelines using Python.Work extensively on Google Cloud Platform (GCP) services such as:Dataflow for real-time and batch data processingCloud Functions for lightweight serverless computeBigQuery for data warehousing and analyticsCloud Composer for orchestration of data workflows (based on Apache Airflow)Google Cloud Storage (GCS) for managing data at scaleIAM for access control and securityCloud Run for containerized applicationsPerform data ingestion from various sources and apply transformation and cleansing logic to ensure high-quality data delivery.Implement and enforce data quality checks, validation rules, and monitoring.Collaborate with data scientists, analysts, and other engineering teams to understand data needs and deliver efficient data solutions.Manage version control using GitHub and participate in CI/CD pipeline deployments for data projects.Write complex SQL queries for data extraction and validation from relational databases such as SQL Server, Oracle, or PostgreSQL.Document pipeline designs, data flow diagrams, and operational support procedures.Required Skills:8–10 years of hands-on experience in Python for backend or data engineering projects.Strong understanding and working experience with GCP cloud services.Solid understanding of data pipeline architecture, data integration, and transformation techniques.Experience in working with version control systems like GitHub and knowledge of CI/CD practices.Experience in Apache Spark, Kafka, Redis, Fast APIs, Airflow, GCP Composer DAGs.Strong experience in SQL with at least one enterprise database.Experience in data migrations from on-premise data sources to Cloud platforms.Hands-on knowledge of Databricks for big data processing and analytics.Familiarity with Azure Data Factory (ADF) and other Azure data engineering tools.Additional Details:Excellent problem-solving and analytical skills.Strong communication skills and ability to collaborate in a team environment.

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