Senior Big Data Specialist

3 days ago


sangli, India beBeeDataEngineer Full time

Job OverviewThe ideal candidate will be responsible for designing, developing and maintaining real-time and batch data pipelines in Databricks.Design and implement robust data ingestion frameworks using Databricks Autoloader.Integrate Apache Kafka with Databricks using Structured Streaming.Build and maintain Medallion Architecture pipelines across Bronze, Silver, and Gold layers.Implement checkpointing, output modes and appropriate processing modes in structured streaming jobs.Key Responsibilities:Develop efficient data pipelines to process large datasets.Collaborate with cross-functional teams to design and implement data solutions.Stay up-to-date with the latest industry trends and technologies.Required Skills and Qualifications:Must Have SkillsApache Kafka: Integration, topic management, schema registry (Avro/JSON).Databricks & Spark Structured Streaming:Processing Modes: Append, Update, CompleteOutput Modes: Memory, Console, File, Kafka, DeltaCheckpointing and fault toleranceDatabricks Autoloader: Schema inference, schema evolution, incremental loads.Medallion Architecture implementation expertise.Performance Optimization:Data partitioning strategiesCaching and persistenceAdaptive query execution and cluster configuration tuningSQL & Spark SQL: Proficiency in writing efficient queries and transformations.Data Governance: Schema enforcement, data quality checks, and monitoring.Good to Have Skills:Good to Have SkillsStrong coding skills in Python and PySpark.Experience working in CI/CD environments for data pipelines.Exposure to cloud platforms (AWS/Azure/GCP).Understanding of Delta Lake, time travel and data versioning.Familiarity with orchestration tools like Airflow or Azure Data Factory.Benefits:As a member of our team, you will have the opportunity to work on challenging projects, collaborate with talented individuals and grow your skills and career.Keywords:Real-time data processing, data governance, data engineering, Databricks, Apache Kafka, Medallion Architecture, performance optimization, SQL, Spark SQL.



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