Big Data Development Manager
Softthink Solutions, Inc.
Herndon, VA, United States
16 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
10 years minimum
Working hours
Regular working hours
Job source
Tech stack
Agile Methodology
Amazon Web Services
Data Analysis
Microsoft Azure
Big Data
BigQuery
Continuous Integration
Information Engineering
Data Warehousing
Distributed Systems
Apache Hadoop
MapReduce
+10 more
Machine Learning
Scala (Programming Language)
Software Engineering
Systems Architecture
Snowflake
Apache Spark
Build Tools
Build Process
Software Coding
Software Version Control
Requirements
- Bachelors or Graduate Degree in related field highly desired.
- 10+ yearsβ experience building/leading successful production software system.
- Excellent written and verbal communication, analytical and collaborative problem-solving skills.
- Experienced in Software Services, Data Analysis, Data Science/ML, and data engineering to solve internal and external client needs.
- Strong sense of ownership and to drive product design to delivery.
- Ability to build systems from scratch.
Solid experience in:
- Large-System Architecture design
- Distributed computing
- Enterprise-Wide Systems/Big Data
- Successful history of project delivery of complex, distributed systems.
Comfortable working across different architectural areas building:
- Scalable services
- Big data pipelines,
- Build and integrate ML models
- Experience in a combination of the following Data Warehouses: AWS, Azure, BigQuery, Snowflake.
- Experienced in: Hadoop, Scala, Spark, Map Reduce, Big Data Analytics,
- Knowledge of professional software engineering practices: best practices in full life cycle S/W Development
- Coding Standards
- Coding reviews
- Source control management
- Build processes
- Testing
- Operations
- Understanding of CI/CD and Agile software engineering practices.
- Background in support for large scale application implementations.
- Coaching and mentoring high performing engineers.
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