Accenture Azure Data Engineer in Boston, Massachusetts
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The Azure Technical Architect Delivery is responsible for delivering Data On Cloud projects for Azure based deals. The ideal candidate would also be responsible for developing and delivering Azure cloud solutions to meet todays high demand in areas such as AIML, IoT, advanced analytics, open source, enterprise collaboration, microservices, serverless, etc. The Azure Data Engineer is a highly performant engineer responsible for delivering Cloud based Big Data and Analytical Solutions at our clients. Responsibilities include evangelizing data on cloud solutions with customers, leading Business and IT stakeholders through designing a robust, secure and optimized Azure architectures and ability to be hands-on delivering the target solution. This role will work with customers and leading internal engineering teams in delivering big data solution on cloud. Using Azure public cloud technologies, our Data Engineer professionals implement state of the art, scalable, high performance Data On Cloud solutions that meet the need of todays corporate and emerging digital applications
As part of our Data A&I Group, you will lead technology innovation for our clients through robust delivery of world-class solutions. You will build better software better! There will never be a typical day and that’s why people love it here. The opportunities to make a difference within exciting client initiatives are unlimited in the ever-changing technology landscape. You will be part of a highly collaborative and growing network of technology and data experts, who are taking on today’s biggest, most complex business challenges using the latest data and analytics technologies. We will nurture your talent in an inclusive culture that values diversity. You will have an opportunity to work in roles such as Data Scientist, Data Engineer, or Chief Data Officer covering all aspects of Data including Data Management, Data Governance, Data Intelligence, Knowledge Graphs, and IoT. Come grow your career in Technology at Accenture!
Role & Responsibilities
Provide subject matter expertise and hands on delivery of data capture, curation and consumption pipelines on Azure
Ability to build Azure data solutions and provide technical perspective on storage, big data platform services, serverless architectures, hadoop ecosystem, vendor products, RDBMS, DW/DM, NoSQL databases and security
Participate in deep architectural discussions to build confidence and ensure customer success when building new solutions and migrating existing data applications on the Azure platform
Conduct full technical discovery, identifying pain points, business and technical requirements, “as is” and “to be” scenarios
Build full technology stack of services required including PaaS (Platform as-a-service), IaaS (Infrastructure as-a-service), SaaS (software as-a-service), operations, management and automation
Apply Accenture methodology, Accenture reusable assets, and previous work experience to delivery consistently high-quality work
Stay educated on new and emerging technologies/patterns/methodologies and market offerings that may be of interest to our clients
Adapt to existing methods and procedures to create possible alternative solutions to moderately complex problems
Understand the strategic direction set by senior management as it relates to team goals
Use considerable judgment to define solution and seeks guidance on complex problems
Primary upward interaction is with direct supervisor. May interact with peers and/or management levels at a client and/or within Accenture. Establish methods and procedures on new assignments with guidance
Manage small teams of deliver engineers successfully delivering work efforts (if in an independent contributor role) at a client or within Accenture
For now, all Accenture business travel, international and domestic, is currently restricted to client-essential sales/delivery activity only.
Please note: The safety and well-being of our people continues to be the top priority, and our decisions around travel are informed by government COVID-19 response directives, recommendations from leading health authorities and guidance from a number of infectious disease expert.
At least 3 years of consulting or client service delivery experience on Azure
At least 3 years of experience in developing data ingestion, data processing and analytical pipelines for big data, relational databases, NoSQL and data warehouse solutions
Extensive experience providing practical direction within the Azure Native services and Hadoop
Extensive hands-on experience implementing data migration and data processing using Azure services: ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Event Hub, IOT Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc.
Minimum of 3 years of hands-on experience in Azure and Big Data technologies such as Powershell, C#, Java, Node.js, Python, SQL, ADLS/Blob, Spark/SparkSQL, Databricks, Hive and streaming technologies such as Kafka, EventHub, NiFI etc.
Well versed in DevSecOps and CI/CD deployments
Cloud migration methodologies and processes including tools like Azure Data Factory, Data Migration Service, SSIS, Attunity (Qlik), Event Hub, Kafka, etc.
Minimum of 3 years of RDBMS experience
Experience in using Big Data File Formats and compression techniques
Experience working with Developer tools such as Azure DevOps, Visual Studio Team Server, GitLabs, Jenkins, etc.
Experience with private and public cloud architectures, pros/cons, and migration considerations.
Bachelors or higher degree in Computer Science or a related discipline; or equivalent (minimum 12 years work experience). If Associate’s Degree, must have equivalent minimum 6 years work experience
DP-200 Implementing an Azure Data Solution
DP-201 Designing an Azure Data Solution
AZ-400: Designing and Implementing Microsoft DevOps Solutions
DevOps on an Azure platform
Experience developing and deploying ETL solutions on Azure
IoT, event-driven, microservices, Containers/Kubernetes in the cloud
Familiarity with the technology stack available in the industry for metadata management: Data Governance, Data Quality, MDM, Lineage, Data Catalog etc.
Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing and curation: Kafka, StreamSets, Attunity, GoldenGate, Map Reduce, Hadoop, Hive, Hbase, Cassandra, Spark, Flume, Hive, Impala, etc.
Multi-cloud experience a plus - Azure, AWS, Google
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Unless expressly indicated, this role is not open in the State of Colorado.
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