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Encora
San Jose, CA, United States
At Encora we are looking for a great talent like you to join our team as the next Mid . Data Engineer (Azure) (9917) Our Requirement: Experience on Azure (including Azure DevOps) Good Python Experience either on Snowflake or DBT (at least one of them, ideally both) Nice to have: GraphQL Why you will love working with us: Work from Home/ Wo
Job Source: EncoraOmega Solutions
Santa Clara, CA, United States
Responsibilities: Design, develop, test, and deploy Data Engineering pipelines on Azure cloud platform. Provide technical leadership and guide the team. Analyze and profile the data to understand and resolve the data quality issues. Participate in design and code reviews and provide guidance. Create near real-time data pipelines and document t
Job Source: Omega SolutionsA-Line Staffing Solutions
San Jose, CA, United States
THIS IS A HYBRID ROLE - SAN JOSE, CA NO CORP TO CORP Candidates As Senior DevOps Platform Engineer, you will:Work very closely and integrate with our developers to adopt and drive culture change.Together with a team of engineers, design, architect and deliver the next-generation internal developer platform.Work with peer technical leaders and the
Job Source: A-Line Staffing SolutionsMountain View, CA, United States
LinkedIn is the world’s largest professional network, built to help members of all backgrounds and experiences achieve more in their careers. Our vision is to create economic opportunities for every member of the global workforce. Every day our members use our products to make connections, discover opportunities, build skills, and gain insights. We
Job Source: LinkedInMicrosoft Corporation
Santa Clara, CA, United States
Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365,
Job Source: Microsoft CorporationMicrosoft Corporation
Santa Clara
Microsoft Silicon, Cloud Hardware, and Infrastructure Engineering (SCHIE) is the team behind Microsoft’s expanding Cloud Infrastructure and responsible for powering Microsoft’s “Intelligent Cloud” mission. SCHIE delivers the core infrastructure and foundational technologies for Microsoft's over 200 online businesses including Bing, MSN, Office 365,
Job Source: Microsoft CorporationBridg
Menlo Park, CA, United States
About Cardlytics Remember that time you got cash back on a cup of coffee through your banking app? That was us! Cardlytics (NASDAQ: CDLX) is the industry-leading purchase intelligence and incentives platform. We are a product-driven company that cares about three things: our people, our customers, and our partners. Together, we make commerce more r
Job Source: BridgChan Zuckerberg Initiative
Redwood City, CA, United States
The Chan Zuckerberg Initiative was founded by Priscilla Chan and Mark Zuckerberg in 2015 to help solve some of society’s toughest challenges — from eradicating disease and improving education to addressing the needs of our local communities. Our mission is to build a more inclusive, just, and healthy future for everyone. The Team Chan Zuckerberg In
Job Source: Chan Zuckerberg InitiativePalo Alto, CA, United States
Responsibilities
Architect, design, develop and engineering end-to-end data pipelines across multiple data sources and systems of record.
Ensure data quality, integrity, security, and completeness throughout the data lifecycle.
Develop, design data models, data structures and ETL jobs for data acquisition and transformation purposes.
Develop deep understanding of the data sources, implement data standards, maintain data quality and master data management.
Developing data services and API
Work closely with the cloud service providers to ensure completeness and alignment with the service offerings.
Manage and maintain cloud-based data and analytics platform.
Deep understanding of the cloud offerings and engage in quick proof of concepts and proof of value in prototyping data and analytics solutions and derive viability.
Understanding of Unified Data governance and Data Quality Management solutions for managing and governing enterprise data.
Ability to interact with the business stakeholders to understand requirements and translating into technology solutions.
Qualifications
Bachelor’s degree in computer science, computer engineering, or other related field of study with 10+ years of relevant experience
Experience in Azure Cloud platform service offerings
Expertise in Azure SQL with strong knowledge on writing complex SQL queries, Stored procedures, Tuning and Query optimizations.
Experience with Azure API Management Service (APIMS) and developing Azure Functions for exposing API / RESTful data services.
Experience working on real-time data capture, processing, transformation and storing using technologies like Azure Event Hubs, Azure Service Bus, and Azure Stream Analytics
Knowledge of creating pipelines and complex data transformations and manipulations using one of the languages .Net/C#, Python, Java, R, or Scala with Databricks/Spark
Experience in NoSQL Databases and Big data technologies including Azure CosmosDB or other Document stores.
Experience with Azure Purview for automating and managing Data catalog, classification, lineage, and metadata management across enterprise data.
Experience with configuring rules, exceptions and approvals workflows for Data quality management using Profisee.
Experience working with different data storage options including ADSLS Gen2 and Azure BLOB storage.
Understanding of different data formats including Parquet, Avro, CSV, ORC etc.
Understanding of MPP databases and maintain large amount of data processing is a plus.
Experience in creating, scheduling, and monitoring Azure Data Factory (ADF) pipelines.
Experience with Azure Synapse Analytics and Azure Analys Services, Power BI and business Intelligence technologies is a big plus but not mandatory.
Past working experience on a fast paced and agile environment
Experience working with an on-shore / off-shore model.
Build and meet project timelines and manage delivery commitments with proper communication to management.
Collaborate and communicate with key business lines, technology partners, vendors, and architects.
Compensation
The base pay range for this position is USD $175,000.00/Yr. - USD $200,000.00/Yr. Exact offers will be determined based on job-related knowledge, skills, experience, and location.
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Email Alert for Senior Azure Data Engineer jobs in Palo Alto, CA, United States
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