Lead Data Engineer

2 weeks ago


Los Angeles, United States Incedo Inc. Full time

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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