Data Engineer

1 week ago

Bengaluru, India BlueByte Technologies Full time

Description :Key Responsibilities :- Design, develop, and optimize large-scale data pipelines using PySpark and Scala.- Implement ETL processes on big data platforms such as Hadoop and Azure Data Lake.- Work with Azure services like Azure Databricks, Azure Data Factory, Azure Synapse Analytics, and Azure Blob Storage.- Develop, test, and maintain data ingestion and transformation frameworks using Python and Spark.- Collaborate with cross-functional teams to integrate data from multiple sources and ensure high data quality.- Implement data governance, security, and performance tuning best practices.- Troubleshoot and optimize data workflows for scalability and efficiency.Mandatory Skills :- PySpark and Scala programming- Hadoop ecosystem (HDFS, Hive, HBase, etc.)- Python for data processing and automation- Azure Cloud (Databricks, ADF, Synapse, ADLS)- Strong understanding of ETL, data modeling, and data warehousing conceptsGood to Have :- Experience with Kafka or Event Hub for streaming data- Knowledge of SQL and NoSQL databases- Familiarity with CI/CD pipelines and DevOps tools- Exposure to Delta Lake and Lakehouse architecture (ref:hirist.tech)

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