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Lead Data Engineer
2 weeks ago
Lead Data Engineer
Job Location: Southern California (Hybrid)
Job Purpose:
Must have:
- Strong background in solutions across Data Engineering value chain with expertise on Azure-Databricks
- Strengthen the Data engineering team with Big Data solutions running on Azure
- Designing and planning of new ETLs and migration of existing ETL processes
- Ability to write quality technical documentation
- Experience in data warehouse design and best practices
- Establish DevOps processes for marshalling big data work products from development to production.
- Analyzing and recommending new product capabilities on cloud environment
- Strong organizational skills, with the ability to work autonomously as well as in a team based environment.
- Collaborate with business, technology and architecture teams across the Bank to design and develop next generation data platforms using traditional DB technologies, open source frameworks and cloud services.
- Exposure to various ETL and Business Intelligence tools
- Must be very strong in writing SQL queries
- Deep Data Warehouse and relational database experience
Minimum Qualifications:
- Masters or bachelor’s Degree in computer science or equivalent
- 10+ years of experience in delivering technology solutions
- Five+ years of experience with Hadoop, including HDFS, Spark, Hive, HBase
- Five+ years of experience with NoSQL such as MongoDB, Elastic Search, Solr
- Three+ years of experience in leading design of Big Data solutions across Cloud platforms
- Two+ years of architect design experience with Azure Services
- Experience in data modeling, data vault architecture, & CDW architecture with Kimball model, data fabric or databricks
- Expertise with data lakes, data warehouse, data marts
- Experience with Data Governance, Master Data Management
- Data Warehouse experience with Apache Kylin, Apache Nifi, Apache Airflow, and Kylo
- Strong Delivery Background with ability to translate product objectives into an execution and delivery plan with milestones and resource needs
- Strong communication and presentation skills
- Experience with git and other source control systems
- Solid grounding in Agile methodologies
Good to have:
- Knowledge of how to implement serverless architecture on Azure
- A strong delivery background across the delivery of high-value, business-facing technical projects in major organizations
- Strong client relationship management skills to identify and close suitable business development opportunities
- Experience of managing client delivery teams, ideally coming from a Data Engineering / Data Science environment.
- Hands-on working experience in analyzing source system data and data flows, working with structured and unstructured data
- Must be very strong in writing SQL queries
- Strengthen the Data engineering team with Big Data solutions
- Strong technical, analytical, and problem-solving skills
- Strong organizational skills, with the ability to work autonomously as well as in a team-based environment
- Pleasant Personality, Strong Communication & Interpersonal Skills
Certifications (Preferred)
- Azure Developer AZ-204
- DP-100, DP-203 and DP-300
- Azure Solutions Architect AZ-305
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