Senior Data Engineer (Team Lead)
Neighborly Software · Atlanta, GA · 6 days ago
HybridInformation TechnologyFull-time
Job Duties And Responsibilities
- Build and maintain datasets and pipelines within our data warehouse technology, Snowflake
- Design/Develop data pipelines leveraging Azure Data Factory (ADF) tools
- Utilize technologies such as Kafka, Databricks, SnowSQL, and Snowpipe
- Add to and maintain data streaming services, such as Kafka and Kafka Connect
- Use programming languages such as Python and C# for data management, analysis, import, and export pipelines
- Aid in data acquisition from third-party sources and datasets
- Collaboratively identify ways to improve data reliability, governance, monitoring, efficiency, and quality
- Use large data sets to address business issues, such as client reporting requests and internal insights
- Troubleshoot SQL queries against multiple data sources
- Deploy sophisticated analytics programs, machine learning, and statistical methods
- Prepare data for predictive and prescriptive modeling
- Find hidden patterns using data for trends such as productivity workflows, and user insights
- Use data to reduce redundancies and inefficiencies using automation
- Deliver updates to stakeholders based on analytics
- Assist in the development of Power BI report/dashboard
Qualification
- 4-5 years of experience in Data Engineering, Analytics and ETL/ELT best practices
- 4-5 years of experience of working with Data Warehouse technologies, specifically Snowflake, Azure Synapse or AWS Redshift
- 4-5 years of experience in SQL
- 3-4 years of experience using the Python programming language
- 2-3 years of BI Reporting tool such as PowerBI or Tableau
- 2-3 years of experience in data pipeline development
- Nice to have experience API creation and usage experience
- Familiarity with Azure Data Factory
- Familiarity with Kafka and Kafka Connect
- Familiarity with Spark/Databricks
- Familiarity with OOP programming languages
- Familiarity with Azure Services like Logic Apps, Power Apps
- Familiarity with monitoring or logging technologies
- Familiarity with Azure DevOps CICD, SDLC Tools like JIRA/Confluence