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Human Resource Management | Digital Talent Management
Everest DX – We are a Digital Platform Services company, headquartered in Stamford. Our platform includes orchestration, intelligent operations with bots, AI-powered analytics for enterprise IT. Our vision is to enable digital transformation for enterprises to deliver seamless customer experience, business efficiency, and actionable insights through a set of cutting-edge digital technologies.
Our services specialize in designing, building, developing, integrating, and managing cloud solutions, modernizing data centers, building cloud-native applications, and migrating existing applications into secure, multi-cloud environments to support digital transformation. Our platform services help organizations reduce IT resources, improve productivity, lower costs, and accelerate digital transformation.
Digital Platform - Cloud Intelligent Management (CiM) - An autonomous hybrid cloud management platform that operates across multi-cloud environments, helping enterprises maximize their cloud strategy while reducing costs, risks, and increasing speed.
To learn more, visit: http://www.everestdx.com
Job Title: Azure Data Engineer with S/4 HANA
Job Type: Full Time
Experience: 7+ years
Notice Period: Immediate to 30 days joiners are highly preferred
- Hands-on experience with Azure Cloud components like Azure Data Factory, Azure Blob Storage, Azure Data Flows, Presto, Azure Databricks, and Azure Key Vault.
- Experience with data warehousing including S/4 Hana, ADLS, Teradata/SQL, and data analytics tools.
- Proficiency in complex SQL queries, views, and stored procedures for data loading.
- Good understanding of SAP business processes and master data.
- Exposure to SAP BW, native Hana, BW/4HANA, Teradata, and ETL technologies is preferred.
- Minimum 7+ years in SQL optimization, performance tuning, and programming languages like Python, PySpark, Scala.
- Extensive experience in cloud data engineering on Azure.
- Azure certification is preferred.
- Experience integrating multi-cloud services with on-premises technologies.
- Skills in data modeling, warehousing, and building high-volume ETL/ELT pipelines.
- Experience operating highly available, distributed systems for large data sets.
- Experience with cloud infrastructure, containerized services like Kubernetes, version control, deployment, and CI tools.
- Proficiency with Azure Data Factory, Azure Databricks, Python, and business intelligence tools like PowerBI.
Why Join Us:
- Continuous learning through training, certifications, and cutting-edge projects.
- Collaborative, innovative culture with open communication.
- Agile work environment with a startup mindset.
- Exposure to advanced technologies and innovative product development.
Seniority level
Employment type
Job function
- Consulting, Product Management, and IT
Industries
- IT Services and Consulting