Big Data Engineering Leader

6 days ago


vadodara, India beBeeDataEngineer Full time

About the Position:We are seeking a seasoned Senior Data Engineer to lead our big data initiatives.Key Responsibilities:Design, build and deploy scalable, high-performance data pipelines using cloud-based tools like Azure Databricks, ADF and Spark.Create, optimize and maintain complex Spark (Scala/PySpark) jobs for large-volume data processing and transformation.Develop and manage data integration solutions from diverse sources including ADLS, Blob Storage, SQL databases, NoSQL stores and streaming platforms.Implement and support real-time data streaming using Kafka, Spark Streaming or Flink.Develop and maintain ETL workflows ensuring data quality, reliability and consistency.Work with cloud-based data warehousing and analytics solutions like Azure Synapse Analytics, Snowflake or BigQuery.Build and maintain CI/CD pipelines using DevOps tools for automated deployments.Collaborate with data architects, analysts and scientists to enable business insights through analytics and machine learning.Optimize query performance, storage, cost and compute usage across pipelines and environments.Ensure adherence to data governance, security, lineage and compliance best practices.Requirements:7–12 years of hands-on experience as a Data Engineer or Big Data Engineer.Strong expertise in cloud technologies, including Azure cloud services.Azure DatabricksAzure Data Factory (ADF)Azure Data Lake Storage (ADLS/Gen2)Azure Synapse/SQLExpert-level proficiency in Apache Spark, Spark SQL, PySpark or Scala.Experience with data streaming technologies like Kafka, Spark Streaming or Flink.Strong SQL skills with experience in performance tuning and query optimization.Hands-on experience with ETL tools like ADF, NiFi, Talend, Sqoop or Airflow.Good understanding of data modeling, warehouse concepts and distributed systems.Proficiency with Git, DevOps tools or similar CI/CD tools.Strong background in Linux/Unix, Bash or PowerShell scripting.Experience with cloud-based data warehousing solutions is a plus.Familiarity with NoSQL technologies like MongoDB, HBase, Cassandra or Cosmos DB.Preferred Qualifications:Experience in on-premise to cloud migration projects.Exposure to machine learning feature pipelines or MLOps workflows.Knowledge of data governance, security practices and metadata/catalog tools.Certifications in cloud technologies like Azure Data Engineer.



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