Avalore, LLC
Technology
Data&SoftwareEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Data & Software Engineer at Avalore, LLC. Skills: Data Engineering, Software Development, Python, AWS. Understand data requirements. Assess feasibility”
Industry & Context.
Problem-solving skills
What They're Looking For.
Must Have
5 years' experience, Advanced Python skills, Familiarity with Java, Understanding of data security, Understanding of privacy principles, Understanding of governance principles, Understanding of compliance principles, Building production data pipelines, Building ETL workflows at scale, Building end-to-end data pipelines, Using orchestration tools, Configuring Spark Jobs, Updating Spark Jobs, Containerizing applications, Deploying applications, Working with MySQL, Working with PostgreSQL, Performance tuning databases, Schema design, Query optimization, Leveraging industry standard tools, Code control, IaaC control, Working with data catalogs, Tracking data lineage, Handling Geospatial data, Using Bash scripting, Integrating AI/ML services, Integrating AI/ML models, Apache Spark & PySpark, Docker, Podman, AWS S3, Lambda & Step functions, Apache Iceberg, Airflow, SQL (with Trino), NoSQL, DynamoDB, Unity Catalog OSS, Apache Polaris, Apache Superset, Terraform or CloudFormation, OpenLineage, H3, PostGIS
Nice to Have
Experience with data formats
What You'll Do.
Understand data requirements
Design appropriate solutions
Leverage problem-solving skills
Debug data quality issues
Debug pipeline failures
Debug performance bottlenecks
Leverage large-scale data migration
Leverage platform modernization efforts
Contribute to data engineering documentation
Contribute to best practices
Contribute to design patterns
How You'll Work.
Team & Collaboration
Work with a small team; Work with stakeholders
Full Job Description
The Data & Software Engineer works with a small team to build complex data flows for a custom application. Successful candidate will have advanced Python programming skills, familiarity with Java, an understanding of data security, privacy, governance and compliance principles and a demonstrated history of building production data pipelines and ETL workflows at scale. Candidate must have experience: * Building end-to-end data pipelines leveraging Python * Using orchestration tools to deploy data pipelines, including configuring and updating Spark Jobs * Containerizing and deploying applications in cloud environments like AWS. * Working with MySQL and PostgreSQL including performance tuning, schema design, and query optimization for complex, analytical workloads. * Leveraging industry standard tools for code control (Git, IaaC control, etc.) * Working with data catalogs, tracking data lineage and handling a variety of data formats, including Geospatial. * Using Bash scripting for automation and data processing tasks * Integrating Al/ML services and models Responsibilities: * Work with stakeholders to understand data requirements, assess feasibility, and design appropriate solutions with minimal oversight * Leverage strong problem-solving and debugging skills for data quality issues, pipeline failures, and performance bottlenecks * Leverage a background in large-scale data migration or platform modernization efforts * Contribute to data engineering documentation, best practices, and design patterns. **Requirements** Minimum of 5 years' experience with: * Apache Spark & PySpark * Advanced Python skills (including Pandas & NumPy) * Docker, Podman * AWS S3, Lambda & Step functions * Apache Iceberg, Airflow, etc. * SQL (with Trino) * NoSQL, DynamoDB * Unity Catalog OSS, Apache Polaris * Apache Superset * Terraform or CloudFormation * OpenLineage * H3, PostGIS **Benefits** Eligibility requirements apply. * Employer-Paid Health Care Plan (Medical, Dental & Vision) * Retirem
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