Big Data
7 days ago
Minimum Experience**:10 Years**
**Required Skills**:
- Work closely with customers, understand customer requirements and render those as architectural models that will operate at large scale and high performance, and advise customers on how to run these architectural models on traditional Data Platforms (Hadoop Based) as well as Modern Data Platforms (Cloud Based).
- Work alongside customers to build data management platforms using **Open Source Technologies** as well as Cloud Native services
- Extract best-practice knowledge, reference architectures, and patterns from these engagements for sharing with Advanced Analytics Centre of Excellence (CoE) team at Atgeir.
- Highly technical and analytical with 10 or more years of **ETL** and analytics systems development and deployment experience
- ** Strong verbal and written communications skills are a must,** as well as the ability to work effectively across internal and external organizations and virtual teams.
- Ability to think understand complex business requirements and render them as prototype systems with quick turnaround time.
- Implementation and tuning experience in the Big Data Ecosystem, (such as **Hadoop**, **Spark**, **Presto**, **Hive**), Database (such as **Oracle**, **MySQL**, **PostgreSQL**, **MS SQL Server**) and Data Warehouses (such as Redshift, Teradata, etc.)
- Knowledge of foundation infrastructure requirements such as Networking, Storage, and Hardware Optimization with Hands-on experience with one of the clouds (**GCP / Azure / AWS**) and/or data cloud platforms (**Databricks** / **Snowflake**)
- Proven hands-on experience with at least one programming language among (**Python, Java. Go, Scala**)
- Willingness to work hands-on on the projects
- Ability to lead and guide large teams
- Architect level **certification** on one of the clouds will be an added advantage.
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