DataOps/Cloud Data Engineer

LanceSoft Inc. is hashtag#hiring hashtag#Cloud_Data_Engineer hashtag#Remote for one of our Public sector client.
Qualified candidates can share their resume at Shivandra.Singh@lancesoft.com

Title: DataOps/Cloud Data Engineer
Location: Remote
Duration: 6 Months

Required Skills:
+5 years of experience in data engineering, Strong proficiency in Python and familiarity with Azure Services is required.
Expertise with Azure Data Services: Azure SQL Database, Azure Data Lake, Azure Storage, Azure Databricks.
Experience with data pipeline development, orchestration, deployment, and automation using ADF, Databricks, Azure DevOps/GitHub Actions.
Proficiency in Python, Scala, and T-SQL.
Solid understanding of data warehousing and ETL concepts including star/snowflake schemas, fact/dimension modeling, and OLAP.
Familiarity with DataOps principles, Agile methodologies, and continuous delivery.
Proficient in data provisioning automation, data flow control, and platform integration.
Knowledge of both structured, semi-structured, and unstructured data ingestion, exchange, and transformation.
Experience with cloud-native data services such as DaaS (Data-as-a-Service), DBaaS (Database-as-a-Service), and DWaaS (Data Warehouse-as-a-Service), and infrastructure elements like Key Vault, VMs, and disks.
Experience with commercial and open-source data platforms, storage technologies (cloud and on-prem), and the movement of data across environments.
Experience in performance monitoring and tuning for cloud-based data solutions.
Experience supporting digital product development, data analysis, data security, and secure data exchange across platforms.
Proven experience designing enterprise-scale data architectures with high availability and security.
Understanding of data governance, data security, compliance, and metadata management.
Proficient in entity-relationship (ER) modeling and dimensional modeling.
Strong knowledge of normalization/denormalization techniques to support analytics-ready datasets.