Senior Engineer
1 week ago
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.
- 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.
- 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.
- 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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