Vacancy expired!
- Incorporated in 1994
- Certified Minority Business Enterprise (MBE)
- More than 3500 employees
- ISO 27001, ISO 9001 and ITIL Quality Assurance Programs
- Hybrid on-site, nearshore and offshore service models
- Global Delivery Centers Across the World
- Lead architecture, design, and development of a next-generation data platform in the cloud that serves as the central repository for data across the organization
- Hands on solution development leveraging modern cloud data technologies, tools, languages, and platforms
- Define and establish data architecture principles, standards, guidelines and patterns
- Balance service delivery with continuous process improvement and automation to architect reliable, and stable data platform capabilities
- Work with functional leads and business leaders to ensure technical strategy is aligned with company and departmental vision
- Lead, manage and guide technical project teams
- Drive the adoption of a DevOps/SRE culture across teams
- Mentor other team members
- Support vendor management activities with key vendors such as cloud providers, and drive early adoption activities and vendor technology roadmap discussions
- 8+ years of experience in a hands-on software/data engineering role including data modeling, data integration, data ingestion, data transformation, data mining, and data warehousing
- Experience designing and building cloud native data platforms (AWS preferred)
- Experience designing and building ETL and ELT data pipelines for batch and streaming data using cloud native serverless technologies like AWS Glue and Lambda
- Advanced knowledge of SQL and data warehouse concepts
- Experience building solutions to measure data quality
- Experience with Snowflake or other cloud native data warehouses
- Experience with cloud native SQL and NoSQL DBaaS platforms like AWS RDS, MongoDB Atlas
- Experience building data ingestion pipelines using Python and PySpark
- Experience with streaming data platforms like Apache Kafka or AWS Kinesis, and event driven architectures
- Solid understanding of DevOps and SRE and experience implementing CI/CD, test automation, infrastructure as code (Terraform), metrics and monitoring
- Experience using DevOps platforms and tools (Azure DevOps, GitHub)
- Proficiency with both Linux and Windows
- Experience with containerized applications using Docker
- Experience with agile methodologies including Scrum and Kanban
- Experience leading teams of data engineers and software developers spanning multiple time zones
- Strong problem-solving and analytical skills
- Exceptional verbal and written communication
- Bachelor's degree in Computer Science, Engineering, MIS, or equivalent experience
- Experience building solutions with Docker and Kubernetes (EKS, AKS, GKE)
- Experience building ETL and ELT data pipelines using Informatica Cloud platform
- Experience with data quality and catalog tools (e.g. Informatica, Collibra).
- Knowledge of data governance practices, business and technology issues related to management of enterprise information assets and approaches related to data protection
- Familiarity and experience in data protection and information security in the cloud
- Familiarity with cloud native technologies and platforms for artificial intelligence and machine learning (e.g. SageMaker)
- Knowledge of Oil and Gas Industry data
Vacancy expired!