Vacancy expired!
- Solution architecture using Data Warehouse/Big Data/Cloud technologies
- Advise customer executives on technology and architecture trends in both structured data and data lake subject areas
- Supporting RFPs and proposals – driving the solution
- Strong business consulting exposure
- Client stakeholder communication
- Review external solutions and provide technical assessments.
- Work with multiple client partner teams to implement cohesive end-to-end experiences.
- Document new and existing database schema and design and provide client-facing documentation on our data model and architecture and assist customers and prospects on understanding our data architecture.
- Implement technical architecture during project execution
- Extending the technical support to the bigger team on the complex solution aspects and project execution.
- Proficiency with Big Data technologies
- Experience with data processing, warehousing technologies - Spark-Scala
- Strong programming experience with Python.
- Experience with cloud computing platforms – Google Cloud Platform, AWS Azure
- Experience with Jenkins pipeline DevSecOps environment building CI/CD pipelines (e.g., Git, Jenkins, Terraform, AWS Code)
- Experience with Bitbucket, Docker, Kubernetes
- Knowledge about agile software processes and working experience in agile projects.
- High analytical skills
- 5+ years’ experience developing data management solutions and strategy across a range of industry, client and technologies, including ETL and database solution development supporting data integration, data warehousing, data lake and analytic pipelines
- 5+ years of experience defining technical architecture, infrastructure design, system requirements, and technical analysis/design as well as implementing data management systems, including experience with Big Data systems (e.g., Hadoop, EMR), cloud data warehouses (e.g., Redshift, Snowflake data warehouses (e.g., Redshift, Snowflake), unified analytics platforms such as Databricks, integration technologies and frameworks (e.g., ETL, MDM, EAI, Data Services),and reporting/analytic systems, and Data Visualization tools such as Tableau, PowerBI, Looker, etc
- 3+ years of experience working within modern data architecture setup involving AWS, Google Cloud Platform or Azure
- Experience designing and implementing Enterprise Data Governance solutions,
- Expert knowledge of SQL with a focus on Oracle, DB2, SQL Server, PostgreSQL
- Experience in one or more of Google BigQuery, Cloudera, Databricks, and Amazon Redshift, Snowflakes
- Experience with one or more Business Intelligence tools such as Tableau, Looker, Superset, Kibana, D3.js, QlikView/Qlik Sense, Power BI
- Excellent data driven approach to software engineering, design, coding, debugging, problem solving and analytical skills with a solid understanding of testing practices.
- Experience in data modelling (conceptual, logical and physical)
- Experience using structured design and modelling techniques
- Excellent problem-solving and debugging skills with a solid understanding of testing practices
- Experienced agile practitioner
- Strong verbal and written communication skills, and ability to work through ambiguous situations
- A high degree of initiative and flexibility
- High customer orientation
- High quality awareness
- Excellent verbal and written communication skills
- Sound problem resolution, judgment, negotiating, and decision making skills
- Excellent verbal and written communication skills
- Enthusiastic, motivated and self-driven
Vacancy expired!