Basic Qualifications
- At least 5 years of consulting or client service delivery experience on Azure
- At least 5 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 5 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 5 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.
Nice-to-Have Certifications
- DP-200 Implementing an Azure Data Solution
- DP-201 Designing an Azure Data Solution
- AZ-400: Designing and Implementing Microsoft DevOps Solutions
Nice-to-Have Skills/Qualifications:
- 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
Professional Skill Requirements
- Proven ability to build, manage and foster a team-oriented environment
- Proven ability to work creatively and analytically in a problem-solving environment
- Desire to work in an information systems environment
- Excellent communication (written and oral) and interpersonal skills
- Excellent leadership and management skills
- Excellent organizational, multi-tasking, and time-management skills
- Proven ability to work independently
All of our professionals receive comprehensive training covering business acumen, technical and professional skills development. You'll also have opportunities to hone your functional skills and expertise in an area of specialization. We offer a variety of formal and informal training programs at every level to help you acquire and build specialized skills faster. Learning takes place both on the job and through formal training conducted online, in the classroom, or in collaboration with teammates. The sheer variety of work we do, and the experience it offers, provide an unbeatable platform from which to build a career.
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States and with Accenture (i.e., H1-B visa, F-1 visa (OPT), TN visa or any other non-immigrant status).
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Accenture is a Federal Contractor and an EEO and Affirmative Action Employer of Females/Minorities/Veterans/Individuals with Disabilities.
Equal Employment Opportunity
All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process.
Accenture is committed to providing veteran employment opportunities to our service men and women.
