
Senior Data Solutions Engineer
4 days ago
Job Overview
- We are seeking an experienced Technical Data Expert to join our team.
Key Responsibilities
- Design and implement end-to-end data pipelines and integration solutions for varied structured and unstructured data sources and targets.
- Architect, design, and implement scalable data warehouse solutions on cloud using Big Query or Redshift.
- Experience in building and managing Data Lakes, Data Warehouse, Data Integration, Data Migration and Business Intelligence/Artificial Intelligence solutions on Cloud (GCP/AWS/Azure).
- Ability to understand business requirements, translate them into functional and non-functional areas, define non-functional boundaries in terms of Availability, Scalability, Performance, Security, Resilience etc.
- Collaborate with cross-functional teams to develop and implement effective data management strategies.
- Provide expert-level technical guidance on data-related projects and initiatives.
- Stay up-to-date with industry trends, emerging technologies, and best practices in data engineering and architecture.
- Develop and maintain documentation on data architectures, designs, and implementation details.
Requirements
- 8+ years of experience in Technical, Solutioning, and Analytical roles.
- 5+ years of experience in building and managing Data Lakes, Data Warehouse, Data Integration, Data Migration and Business Intelligence/Artificial Intelligence solutions on Cloud (GCP/AWS/Azure).
- Deep knowledge of one or more Cloud and On-Premise Databases like Cloud SQL, Cloud Spanner, Big Table, RDS, Aurora, DynamoDB, Oracle, Teradata, MySQL, DB2, SQL Server, etc.
- Exposure to any of the No-SQL databases like Mongo dB, CouchDB, Cassandra, Graph dB, etc.
- Well-versed with various Data Integration, and ETL technologies on Cloud like Spark, Pyspark/Scala, Dataflow, DataProc, EMR, etc. on various Cloud.
- Preferred experience of having worked on Machine Learning Frameworks like TensorFlow, Pytorch, etc.
- Good understanding of Cloud solutions for Iaas, PaaS, SaaS, Containers and Microservices Architecture and Design.
- Ability to compare products and tools across technology stacks on Google, AWS, and Azure Cloud.
- Good understanding of BI Reposting and Dashboarding and one or more toolsets associated with it like Looker, Tableau, Power BI, SAP BO, Cognos, Superset, etc.
- Understanding of Security features and Policies in one or more Cloud environments like GCP/AWS/Azure.
- Experience of having worked in business transformation projects for movement of On-Premise data solutions to Clouds like GCP/AWS/Azure.
What We Offer
- Opportunity to work with a talented team of professionals.
- Chance to contribute to the development of cutting-edge data engineering solutions.
- Competitive salary and benefits package.
How to Apply
- Submit your resume and cover letter to us.
- Include your portfolio or relevant project experiences.
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