Job Location: Remote
Job Detail:
- Team up with architects, scrum masters, leads, managers, and directors, you will work in an Agile environment to make the data on our Enterprise Data Platform accessible for the organization’s needs.
- You will be working in a team with Data Architects and Analysts to build our next-generation data platform in Azure.
- You will be trailblazing to apply Software Development techniques such as Automated Testing and CI/CD to building data products.
- Collaborate with and across Agile teams to design, develop, test, implement, and support technical solutions in full-stack development tools and technologies
- Utilize programming languages like Scala, Python and Open Source RDBMS and NoSQL databases and Cloud based data warehousing services such as Snowflake and Redshift
- Share your passion for staying on top of tech trends, experimenting with and learning new technologies, participating in internal & external technology communities, and mentoring other members of the engineering community
- Perform unit tests and conduct reviews with other team members to make sure your code is rigorously designed, elegantly coded, and effectively tuned for performance
- You should be intellectually curious, have a solutions-oriented attitude, and enjoy learning new tools and techniques.
Experience & Skills
3+ years of experience with designing, developing, implementing, and maintaining solutions for Big Data or data warehouse systems. 2+ Years of experience working in a cloud environment such as Azure, AWS, or other private or public clouds
- Good experience with bringing data into a centralized data repository or manipulating the available data to build additional data sets for Analytics and Reporting purposes.
- Experienced with maintaining data quality throughout the lifecycle of the data.
- Experience with Data Modeling, source-to-target mapping, automated testing frameworks, CI/CD pipelines, and task automation using scripting
- Experienced with working in an Agile environment and end-to-end automation
- Developing new and enhancing existing data processing (Data Ingest, Data Transformation, Data Store, Data Management, Data Quality) components
- Strong working knowledge of SQL and the ability to write, debug and optimize SQL queries and ETL jobs to reduce the execution window or reduce resource utilization
- Data Engineering experience focused on batch and real-time data pipelines development, Data processing/data transformation using ETL tools, Snowflake and DBT
- Experience with Cloud Data Warehouse solutions experience (Snowflake, Azure DW, Redshift, or similar technology in other private or public clouds);
- Complete software development lifecycle experience including design, documentation, implementation, testing, and deployment
Basic Qualifications
- Bachelor’s Degree in a computer-related field or equivalent professional experience required
- At least 1 year of experience in data engineering using open source technology stack along with cloud computing (AWS, Microsoft Azure, Google Cloud)
- At least 1-year of experience with designing, developing, implementing, and maintaining solutions for data transformation projects.
- At least 1 year of advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
Preferred Qualifications
- Familiarity with Data Vault, DataBricks, Fishtown/DBT tool & Graph Databases
- At least 1 year of experience working on real-time data and streaming applications (Spark Streaming or Kafka)
- At least 1 year of experience with Agile engineering practices
- At least 1-year Experience working with Cloud Data Warehouse solutions (i.e. Snowflake, Synapse, Redshift)
Job Type: Full-time
Pay: $39.75 – $80.22 per hour
Experience:
- Snowflake: 5 years (Preferred)
- Big data: 7 years (Preferred)
- Microservices: 4 years (Preferred)
Work Location: Remote
Submit CV To All Data Science Job Consultants Across United States For Free
🔍 Explore All Related ITSM Jobs Below! 🚀
✅ Select your preferred "Job Category" in the Job Category Filter 🎯
🔎 Hit "Search" to find matching jobs 🔥
➕ Click the "+" icon that appears just before the company name to see the Job Detail & Apply Link 📝💼

