Unison Group
Banking
DataEngineer
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Data Engineer at Unison Group. Skills: Snowflake, ETL/ELT, Data warehousing, Data pipelines. Design ETL/ELT pipelines. Develop ETL/ELT pipelines”
Industry & Context.
Troubleshooting
What They're Looking For.
Must Have
Snowflake Data Warehouse experience, ETL/ELT tools experience, SQL development skills, Data warehousing concepts knowledge, Dimensional modeling knowledge, Schema design knowledge, Python scripting proficiency, Shell scripting proficiency, Cloud platforms experience, Data ingestion frameworks knowledge, CDC knowledge, Batch processing knowledge, Real-time processing knowledge, Data quality understanding, Data governance understanding, Security best practices understanding
Nice to Have
CI/CD pipelines experience, Git experience, Snowflake Certification, dbt experience, Snowpark experience, Spark experience, Databricks experience, Kafka experience, PySpark experience, Agile methodologies knowledge, Scrum methodologies knowledge, DevOps exposure, Infrastructure-as-Code concepts exposure
What You'll Do.
Design ETL/ELT pipelines
Develop ETL/ELT pipelines
Maintain ETL/ELT pipelines
Load data into Snowflake
Build Snowflake data warehouses
Optimize Snowflake data warehouses
Build Snowflake schemas
Optimize Snowflake schemas
Build Snowflake tables
Optimize Snowflake tables
Build Snowflake views
Optimize Snowflake views
Build Snowflake stored procedures
Optimize Snowflake stored procedures
Support reporting requirements
Support analytics requirements
Support business intelligence requirements
Integrate data from databases
Integrate data from APIs
Integrate data from flat files
Integrate data from cloud applications
Optimize ETL workflows
Optimize Snowflake performance
Implement data quality checks
Implement validation frameworks
Implement monitoring processes
Collaborate with business analysts
Collaborate with architects
Collaborate with stakeholders
Translate requirements into technical solutions
Troubleshoot production issues
Provide support for data pipelines
Provide support for ETL processes
Ensure adherence to data governance standards
Ensure adherence to security standards
Ensure adherence to compliance standards
Create technical documentation
Maintain technical documentation
Create data dictionaries
Maintain data dictionaries
Create process workflows
Maintain process workflows
How You'll Work.
Team & Collaboration
Collaborate with business analysts; Collaborate with architects; Collaborate with stakeholders
Full Job Description
### Job Summary We are looking for a skilled Data Engineer with strong expertise in Snowflake, ETL/ELT development, and cloud-based data warehousing solutions. The ideal candidate will be responsible for designing, developing, and maintaining scalable data pipelines, data models, and data integration solutions to support business analytics and reporting requirements. ### Key Responsibilities * Design, develop, and maintain scalable ETL/ELT pipelines for data ingestion, transformation, and loading into Snowflake. * Build and optimize Snowflake data warehouses, schemas, tables, views, and stored procedures. * Develop and maintain data models supporting reporting, analytics, and business intelligence requirements. * Integrate data from multiple sources including databases, APIs, flat files, and cloud applications. * Optimize SQL queries, ETL workflows, and Snowflake performance for cost and efficiency. * Implement data quality checks, validation frameworks, and monitoring processes. * Collaborate with business analysts, architects, and stakeholders to gather and translate requirements into technical solutions. * Troubleshoot production issues and provide support for data pipelines and ETL processes. * Ensure adherence to data governance, security, and compliance standards. * Create and maintain technical documentation, data dictionaries, and process workflows. ### Required Skills * Strong experience with **Snowflake Data Warehouse**. * Hands-on experience with ETL/ELT tools such as **Informatica, Talend, Matillion, ADF, SSIS, or Airflow**. * Strong SQL development and performance tuning skills. * Experience in data warehousing concepts, dimensional modeling, and schema design. * Proficiency in Python or Shell scripting for automation and data processing. * Experience with cloud platforms such as AWS, Azure, or GCP. * Knowledge of data ingestion frameworks, CDC, and batch/real-time processing. * Understanding of data quality, data governance, and security best practices
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