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Data Engineer
1 month ago
Required:
5+ years experience with the following:
Snowflake (Columnar MPP Cloud data warehouse)
ETL Concepts, DBT (ETL tool)
ADF (Azure Data Factory)
Experience designing and implementing Data Warehouse
Azure/AWS cloud technology
SQL objects (procedures, triggers, views, functions) in SQL Server. SQL query optimizations
Understanding of T-SQL, indexes, stored procedures, triggers, functions, views, etc.
Design and development of Azure/AWS Data Factory Pipelines preferred.
Design and development of data marts in Snowflake preferred
Working knowledge of Azure/AWS Architecture, Data Lake, Data Factory
Business analysis experience to analyze data to write code and drive solutions
Knowledge of: Git, Azure DevOps, Agile, Jira and Confluence
Working knowledge on Erwin for data modelling
Responsibility:
Drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards
Build High level technical design both for Streaming and batch processing systems
Design and build reusable components, frameworks and libraries at scale to support analytics data products
Perform POCs on new technology, architecture patterns
Design and implement product features in collaboration with business and Technology stakeholders
Anticipate, identify, and solve issues concerning data management to improve data quality
Clean, prepare and optimize data at scale for ingestion and consumption
Drive the implementation of new data management projects and re-structure of the current data architecture
Implement complex automated workflows and routines using workflow scheduling tools
Build continuous integration, test-driven development and production deployment frameworks
Analyze and profile data for the purpose of designing scalable solutions
Troubleshoot complex data issues and perform root cause analysis to proactively resolve product and operational issues
Partner closely with product management to understand business requirements, breakdown Epics,
Partner with Engineering Managers to define technology roadmaps, align on design, architecture, and enterprise strategy
Accountability:
Requires minimal daily supervision
Receives detailed instruction on new assignments and determines next steps with guidance
Regularly reviews goals and objectives with supervisor
Demonstrates competence in relevant job responsibilities which allows for increasing level of independence
Ability to manage and prioritize multiple tasks
Ability to work under pressure and meet deadlines
Problem Solving:
Makes logical suggestions of likely causes of problems and independently suggests solutions
Excellent organizational skills are required to prioritize responsibilities, thus completing work in a timely fashion
Outstanding ability to multiplex tasks as required
Excellent project management and/or business analysis skills.
Attention to detail and concern for impact is essential
Education: Bachelors Degree