Neudesic is looking for Data Architect with a deep and broad technical skill in data management products/platforms as well as solid architecture and design skills.
Qualifications:
- Experience : Azure,AWS,GCP Platform Architecture , Framework /Accelerator design , ETL Solutions , Analytics solutions , Data Modeling , ML Modeling
- Platform :Databricks , Synapse, EMR,Hadoop, Google DataProc,
- Language : PySpark, SQL, Python ,Scala
- Integration- Azure Data factory, SSIS(optional) , EventHub/Kafka, Python API(Flask), Azure Functions, Airflow, AWS Glue, Talend, Event Bridge/SQS/SNS, AWS Lambda, GCP Cloud Data Fusion
- Databases : Azure SQL , SQL Server ,MongoDB ,.Cosmos DB, Oracle , PostgreSQL etc.
- Data Warehouse : ADLS, Delta Lake Synapse SQL Pool , SQL Server , Snowflake, Redshift, Hive, Big Query
- Governance : Azure Purview , Unity Catalog , Professie/MDM., Google Data Catalogue , AWS Glue Data Catalogue
- DevOPs : Azure DevOps/Github Action , Biceps . Terraform
- Visualization : Power BI, Tableau, etc.
- Ability to handle multiple complex projects simultaneously
- Proven experience with Machine Learning and Machine Learning Solutions (Tools such as TensorFlow, PyTorch and broader artificial intelligence solutions including cognitive services API’s)
- Ability to proactively engage in sales pursuits, white board sessions and SOW creation
- Excellent research and analytical skills.
More About Our Data & AI team
The digital business uses data as a competitive differentiator. The explosion of big data, machine learning and cloud computing power creates an opportunity to make a quantum leap forward in business understanding and customer engagement. The availability of massive amounts of information, massive computing power and advancements in artificial intelligence allow the digital business to more accurately predict, plan for and capture opportunity unlike ever before. The predictive enterprise service line promotes the evolution from using data strictly as a reporting mechanism of what’s happened to leveraging the latest in advanced analytics to predict and prescribe future business action. Our services include:
- Data Management Solutions: We build architectures, policies, practices and procedures that manage the full data lifecycle of an enterprise. We bring internal and exogenous datasets together to formulate new perspectives and drive to data-thinking.
- Self-Service Data Solutions: We create classic self-service and modern data-blending solutions that enable end-users to enrich pre-authored analytic reports by blending them with additional data sources.
- Real-Time Analytic Solutions: We build real-time analytics solutions on data-in-motion that eliminate the dependency on stale and static data sets resulting in the ability to immediately query and analyze diverse data sets.
- Machine Learning Solutions: We build machine-learning solutions that support the most complex decision support systems
Neudesic is an Equal Opportunity Employer
Neudesic provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by local laws.
Neudesic is an IBM subsidiary which has been acquired by IBM and will be integrated into the IBM organization. Neudesic will be the hiring entity. By proceeding with this application, you understand that Neudesic will share your personal information with other IBM companies involved in your recruitment process, wherever these are located. More Information on how IBM protects your personal information, including the safeguards in case of cross-border data transfer, are available here: https://www.ibm.com/us-en/privacy?lnk=flg-priv-usen