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AppSierra - Azure Data Engineer - SQL/Spark

3 months ago

Hyderabad, India AppSierra Solutions Pvt Ltd Full time

Job Description :


As an Azure Data Engineer, you will be expected to design, implement, and manage data solutions on the Microsoft Azure cloud platform. The ideal candidate will have a proven track record of writing complex SQL stored procedures with implementing OTLP database solutions (using Microsoft SQL Server). As well as experience with Azure Data Bricks for big data processing and Azure Synapse for data warehousing and analytics.

Key Responsibilities :

- Build and maintain real-time and batch data pipelines across the advanced analytics platform.

- Design, develop and orchestrate highly robust and scalable ETL pipelines.

- Design and implement Dimensional and NoSQL data modelling as per the business requirements.

- Develop a highly optimal codebase and perform Spark optimizations for Big Data use cases.

- Design, develop and deploy optimal monitoring and testing strategy for the data products.

- Collaborate with stakeholders and advanced analytics business partners to understand business needs and translate requirements into scalable data engineering solutions.

- Collaborate with data scientists to prepare data for model development and production.

- Collaborate with data visualization and reporting application developers to ensure the sustainability of production applications and reports.

- Maintain professional and technical knowledge by attending educational workshops, professional publications, establishing personal networks, and participating in professional societies.

Qualifications :

- 3 - 5 years of professional experience

Knowledge, Skills, and Abilities :

- Natural sense of urgency, teamwork, and collaboration reflected in daily work ethic.

- Expert in Spark or Databricks, Cloud Data Engineering Services preferably Azure, Streaming frameworks like Event Hubs or Kafka.

- Proficient in Microsoft Office.

- Familiarity with modern Machine Learning Operationalization techniques.

- Agile methodologies.

- Familiarity with Data visualization tools, such as Qlik or Power BI

(ref:hirist.tech)