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Software Engineer, Data Governance
Company | MongoDB |
Address | New York, United States |
Employment type | FULL_TIME |
Salary | |
Category | Software Development |
Expires | 2023-08-28 |
Posted at | 9 months ago |
The worldwide data management software market is massive (IDC forecasts it to be $137.6 billion by 2026!). At MongoDB we are transforming industries and empowering developers to build amazing apps that people use every day. We are the leading modern data platform and the first database provider to IPO in over 20 years. Join our team and be at the forefront of innovation and creativity.
- At least 3 years’ experience working in a Software Engineering role, or equivalent
- Deep understanding of Data Management concepts including Data Instrumentation, Lineage, Metadata, Quality, & Governance
- A Bachelor’s degree in Computer Science, Engineering, or a related technical field
- Working with APIs and associated configurations (to automate content read/write into data catalog)
- Working with public cloud environments (AWS, GCP, or Azure), and associated deep understanding of failover, high-availability, and high scalability
- 3+ years of experience programming with Python, Scala, C/C++, Java, C#, Go, or a similar programming language
- Data ingestion via serverless data pipelines through containerization and using one or more modern ETL compute and orchestration frameworks like Apache Airflow, Spark
- Version control and git workflows
- Different storage formats like Parquet, ORC, Avro, Arrow, and JSON
- AWS services such as EMR, Lambda, S3, Athena, Glue, IAM, RDS, etc
- 3+ years of experience with SQL or NoSQL databases: PostgreSQL, SQL Server, Oracle, MySQL, Redis, MongoDB, Elasticsearch, Hive, HBase, Teradata, Cassandra, Amazon Redshift, Snowflake, BigQuery
- Working with HTML/XML
- CI/CD Pipelines
- Strong interpersonal and communication skills, including the ability to explain and discuss complex technicalities with colleagues and clients from other disciplines at their level of cognition
- Plans effective data storage, security, sharing, and publishing within the organization
- Curiosity, proactivity and critical thinking
- Strong computer science fundamentals in data structures, algorithms, automated testing, object-oriented programming, performance complexity, and implications of computer architecture on software performance
- Obsession with data: everything needs to be accounted for and be thoroughly tested
- Designs boilerplate architecture that can abstract underlying technology from end users
- Product mindset & mentality - building innovative solutions for customer needs balanced with simple, effective, performant design
- Familiarity with deployment and configuration tools such as Kubernetes, Drone, and Terraform
- Hands-on experience with a data catalog product such as Alation, Collibra, etc
- Deep familiarity with Spark and/or Hive
- Experience building a web frontend using frameworks like React
- Expertise in building microservices
- Both learn from and teach peers and junior engineers
- Develop SQL queries to automate collection of predefined KPIs/metrics to measure data catalog usage and adoption
- Perform proactive data profiling and technical data analysis to identify and enforce data quality rules for critical data
- Estimate task complexity, report progress, and voice risks to peers and managers
- Work with other data teams to gain expert level understanding of the data catalog software and extended features that allow it to integrate with other systems
- Develop organized documentation on all aspects of the role including: administrative functions, design decisions, end user manuals, troubleshooting guidelines, metadata knowledge & policies/procedures
- Work with engineering teams to define and implement processes to capture and manage data lineage in the data catalog
- Perform administrative catalog configuration tasks, testing, integrations, and migrations related to the data catalog
- Design, build, test, deploy, and maintain Data Governance & Discoverability products to make metadata & governance policies easy to produce, consume, and leverage
- In six months you will have successfully investigated, scoped, executed, and documented a small to medium sized project and worked with stakeholders to make sure their data needs are satisfied by implementing improvements to our platform
- In a year you will have become the key person for several projects within the team and will have contributed to the Data Governance & Discoverability roadmap. You will have made several sizable contributions to the project and are regularly looking to improve the overall stability and scalability of the architecture
- In three months you will have familiarized yourself with much of our data platform, be making regular contributions to our codebase, will be collaborating regularly with stakeholders to widen your knowledge, and helping to resolve incidents and respond to user requests
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