Senior Engineer

17 hours ago

Mumbai, India Arting Digital Private Limited Full time

Role: Senior Engineer - Azure Data-bricks Experience:  5–8 years Location: Chennai, Kochi, MumbaiWork Mode : On-site About the Role We are seeking a highly skilled Senior Engineer with strong expertise in Azure Databricks, ETL development, and cloud-based data engineering. The ideal candidate will have hands-on experience in building scalable data pipelines, integrating with Azure Data Lake Storage, and working with tools like Apache NiFi. This role requires strong technical capabilities, problem-solving skills, and the ability to work collaboratively with cross-functional teams. Key Responsibilities Design, build, and manage scalable ETL pipelines using Azure Databricks and PySpark. Schedule and orchestrate tasks on Databricks within end-to-end workflows. Perform regular application maintenance, health checks, and incident restoration. Optimize code, workflows, and system performance for high-traffic, load-balanced services. Automate routine operational tasks to improve system reliability and efficiency. Work closely with IT teams, business stakeholders, and occasionally interact directly with customers. Participate in Agile ceremonies such as standups, demos, grooming, and solutioning sessions. Required Technical Skill Set Azure Databricks: Hands-on experience building scalable ETL pipelines and integrating with Azure Data Lake Storage. ETL Development: Strong expertise in developing and maintaining large-scale data integration workflows. Azure Data Lake Storage: Proficiency in using ADLS within cloud data architectures. PySpark: Strong working knowledge of PySpark for data transformation and processing. Apache NiFi: Secondary expertise in data ingestion, transformation, and flow management. Azure Cloud Services: Familiarity with Azure Synapse, Azure SQL, and related data engineering services. Must-Have Competencies Strong hands-on experience with Azure Databricks for ETL and big-data pipelines. Proficiency with Azure Data Lake Storage and cloud-based data architectures. Experience working with Apache NiFi for data ingestion and workflow orchestration. Strong working knowledge of PySpark. Excellent problem-solving skills for optimizing and troubleshooting ETL workflows. Good-to-Have Competencies Experience with additional Azure services such as Azure Synapse, Azure Data Factory, and Azure Functions. Understanding of streaming data pipelines and real-time data processing. Ability to work effectively with data scientists, analysts, and cross-functional teams. Strong communication skills to present and explain technical solutions.

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