Job Title

Position: DE_SQL_Python_Pyspark_Datawarehousing_Datamodelling Experience:5-10 Years Location:Bangalore Type:Full Time Certifications:in Azure or AWS or DatabricksAbout the Role: We are hiring sharp, hands-on Data Engineers to build scalable data solutions and drive performance across both traditional and cloud-based data platforms. If you love writing clean code, solving tough data problems, and designing robust data architectures, this role is for you.What you will do: Design and implement scalable data pipelines for batch and near real-time use cases in cloud environments Write optimized, complexSQLqueries for data transformation and analysis in cloud data warehouses Develop efficientPythonandPySparkscripts for large-scale data processing and ETL workflows Create and maintain data models inDatabricks, ensuring data quality and consistency Optimize queries and scripts over large-scale datasets (TBs) with a focus on performance and cost-efficiency Implement data governance and security best practices in cloud environments Collaborate across teams to translate business requirements into robust technical solutions'Must have’ knowledge, skills and experiences 5+ years of hands-on experience in Data Engineering Strong command overSQL,Python, andPySparkfor data manipulation and analysis Deep experience with data warehousing concepts and implementation in cloud environments (Azure/AWS) Proficiency in data modeling techniques for cloud-based systems (Databricks, Snowflake) Solid understanding of ETL/ELT processes and best practices in cloud architectures Experience with dimensional modeling, star schemas, and data mart design Strong analytical thinking and problem-solving skills‘Good to have’ knowledge, skills and experiences Familiarity with data lake architectures and delta lake concepts Familiarity withSnowflake/DatabricksData Warehouse Knowledge of data warehouse migration strategies to cloud Experience with real-time data streaming technologies (e.g., Apache Kafka, Azure Event Hubs) Exposure to data quality and data governance tools and methodologies Understanding of data virtualization and federated query engines Understanding of performance optimization techniques for cloud-based data warehouses Apache Airflow– Workflow orchestration and scheduling Certifications in Azure or AWS or Databricks