Senior Data Engineer

14 hours ago

Bengaluru, India Scaling Theory Technologies Pvt Ltd Full time

Description :Role Overview :We are seeking an experienced Senior Data Engineer to design, build, and optimize scalable data platforms within the Azure Databricks ecosystem. The ideal candidate will have strong expertise in PySpark/Scala, Delta Lake, and data pipeline architecture, along with experience leading complex data initiatives and mentoring team members.Key Responsibilities :- Lead and contribute to the development of a self-service data platform for reporting and analytics.- Design and build data solutions using Databricks, SQL, Python, Spark, and Delta Lake within the Azure ecosystem (Blob Storage, Data Factory, Event Hubs).- Implement best practices for ETL/ELT processes, focusing on data quality management, partitioning, maintainability, and reusability.- Collaborate with engineers, product managers, and business leaders to ensure seamless integration of the data platform with systems such as Tableau, Power BI, APIs, and other applications.- Establish CI/CD pipelines and use infrastructure-as-code tools for deployment and monitoring (Git, Terraform, Azure DevOps/GitHub Actions/Jenkins, Azure Monitor/Datadog).- Ensure adherence to organizational compliance standards and Code of Conduct as defined in LogixGarden.Required Skills & Experience :- 8+ years of data engineering experience.- 3+ years in a Senior or Principal Engineer role, with proven experience leading projects.- Strong hands-on experience with Databricks and related integrations (Delta Live Tables, Auto Loader, Databricks Workflows / Apache Airflow, Unity Catalog).- Expertise in PySpark and/or Scala.- Strong DataFrame programming experience (Spark, Pandas, NumPy).- Proven ability to design scalable, secure, and maintainable data pipelines.- Excellent communication and leadership skills, with a passion for mentoring.- Solid understanding of data security and governance frameworks, with exposure to HIPAA or SOC 2 compliance preferred.Preferred Skills :- Azure cloud experience.- Azure Databricks implementation expertise.- Experience designing and implementing data security and governance frameworks. (ref:hirist.tech)

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