Cloud Data Architect

4 days ago

thrissur, India beBeeDataEngineer Full time

Senior Data Engineer OpportunityWe are seeking an experienced Senior Data Engineer to join our team and lead the design, development, and deployment of large-scale data pipelines that support both batch and real-time analytics.The ideal candidate will have a strong background in cloud computing, particularly in Azure Databricks, ADF, and Synapse, as well as expertise in Apache Spark, Spark SQL, PySpark, or Scala.Key Responsibilities:Design and build 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.Work with Azure Synapse Analytics, Snowflake, or BigQuery for warehousing and analytics solutions.Build and maintain CI/CD pipelines using Azure DevOps/Jenkins for automated deployments.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.Requirements:7–12 years of hands-on experience as a Data Engineer or Big Data Engineer.Strong hands-on 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).What We Offer:Opportunities for growth and professional development.A dynamic and collaborative work environment.A competitive salary and benefits package.How to Apply:Interested candidates should submit their resume and a cover letter outlining their relevant experience and qualifications.

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