Azure Data Engineer

7 days ago

Ahmedabad, India Rainier Softech Solutions Pvt Ltd Full time

Sr. Data Engineer (Databricks)About the RoleWe’re looking for a hands-on Data Engineer to build reliable, scalable data pipelines on Databricks. You’ll turn requirements into production-grade ELT/ETL jobs, Delta Lake tables, and reusable components that speed up our teams. In this role, you’ll implement and improve reference patterns, optimize Spark for performance and cost, apply best practices with Unity Catalog and workflow orchestration, and ship high-quality code others can build on. If you love solving data problems at scale and empowering teammates through clean, well-documented solutions, you’ll thrive here.Core Qualifications:Bachelor’s degree in computer science, Engineering, or a related field7+ years of experience in software/data engineering, including at least 2 years working with Databricks and Apache SparkStrong proficiency in Python, SQL, and PySparkDeep understanding of AWS and Azure Cloud serviceExperience with Databricks Data LakeHouse, Databricks Workflows, and Databricks SQL, dbtSolid grasp of data Lakehouse and warehousing architecturePrior experience supporting AI/ML workflows, including training data pipelines and model deployment supportFamiliarity with infrastructure-as-code tools like Terraform or CloudFormationStrong analytical and troubleshooting skills in a fast-paced, agile environmentExcellent collaboration skills for interfacing with both technical and non-technical customer stakeholdersClear communicator with strong documentation habitsComfortable leading discussions, offering strategic input, and mentoring othersKey Responsibilities:The ideal candidate will have a strong background in building scalable data pipelines, optimizing big data workflows, and integrating Databricks with cloud servicesThis role will play a pivotal part in enabling the customer’s data engineering and analytics initiatives—especially those tied to AI-driven solutions and projects—by implementing cloud-native architectures that fuel innovation and sustainabilityPartner directly with the customer’s data engineering team to design and deliver scalable, cloud-based data solutionsExecute complex ad-hoc queries using Databricks SQL to explore large lakehouse datasets and uncover actionable insightsLeverage Databricks notebooks to develop robust data transformation workflows using PySpark and SQLDesign, develop, and maintain scalable data pipelines using Apache Spark on DatabricksBuild ETL/ELT workflows with AWS and Azure ServicesOptimize Spark jobs for both performance and cost within the customer’s cloud infrastructureCollaborate with data scientists, ML engineers, and business analysts to support AI and machine learning use cases, including data preparation, feature engineering, and model operationalizationContribute to the development of AI-powered solutions that improve operational efficiency, route optimization, and predictive maintenance in the waste management domainImplement CI/CD pipelines for Databricks jobs using GitHub Actions, Azure DevOps, or JenkinsEnsure data quality, lineage, and compliance through tools like Unity Catalog, Delta Lake, and AWS Lake FormationTroubleshoot and maintain production data pipelinesProvide mentorship and share best practices with both internal and customer teams

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