Chief Data Architect

3 days ago

mount, India beBeeData Full time

Senior Data Engineer Job SummaryThis role is seeking a highly skilled Senior Data Engineer with expertise in Azure cloud, Big Data technologies, and distributed data processing frameworks.The ideal candidate will design, build, optimize, and manage large-scale data pipelines that support both batch and real-time analytics.Key Responsibilities:Design and implement scalable, high-performance data pipelines using Azure Databricks, ADF, and Spark.Develop and optimize Spark (Scala/PySpark) jobs for large-volume data processing and transformation.Manage and integrate data 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.Create and maintain ETL workflows, ensuring data quality, reliability, and consistency.Collaborate with data architects, analysts, and data scientists to enable analytics, ML workflows, and business insights.Optimize query performance, storage, cost, and compute usage across pipelines and cloud environments.Ensure data governance, security, lineage, and compliance best practices are followed.Participate in Agile processes, code reviews, documentation, and production support.RequirementsThis position requires strong hands-on experience as a Data Engineer or Big Data Engineer.A minimum of 7–12 years of experience with Azure cloud, including: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 Kafka, Spark Streaming, or Flink for streaming pipelines.Strong SQL skills with experience in performance tuning and query optimization.Hands-on experience with ETL tools (ADF, NiFi, Talend, Sqoop, Airflow, etc.).Good understanding of data modeling, warehouse concepts, and distributed systems.Proficiency with Git, Azure DevOps, Jenkins, or similar CI/CD tools.Strong background in Linux/Unix, Bash/PowerShell scripting.Experience with Snowflake, BigQuery, or other cloud DWH solutions is a plus.Familiarity with NoSQL technologies (MongoDB, HBase, Cassandra, Cosmos DB).Preferred QualificationsCandidates with the following qualifications are preferred: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 Azure Data Engineer or related cloud technologies.

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