Technical Consultant, Data

Responsibilities:

• A Data Engineer should be able to build, operationalize and monitor data processing systems
• Create robust and automated pipelines to ingest and process structured and unstructured data from various source systems into analytical platforms using batch and streaming mechanisms leveraging cloud native toolset
• Implement custom applications using tools such as Kinesis, Lambda and other cloud native tools as required to address streaming use cases
• Engineers and supports data structures including but not limited to SQL and NoSQL databases
• Engineers and maintain ELT processes for loading data lake (Snowflake, Cloud Storage, Hadoop)
• Leverages the right tools for the right job to deliver testable, maintainable, and modern data solutions
• Respond to customer/team inquiries and assist in troubleshooting and resolving challenges
• Works with other scrum team members to estimate and deliver work inside of a sprint
• Research data questions, identifies root causes, and interacts closely with business users and technical resources

Qualifications:

• 3+ years of professional technical experience
• 3+ years of hands on DBT experience.
• 3+ years of hands-on Data Warehousing.
• 3+ years of experience building highly scalable data solutions using Hadoop, Spark, Databricks, Snowflake
• 2+ years of programming languages such as Python
• 3+ years of experience working in cloud environments (Azure)
• 2 years of experience in Redshift
• Strong client-facing communication and facilitation skills

Key Skills:

• Python, Azure Cloud, Redshift, NoSQL, Git, ETL/ELT, Spark, Hadoop, Data Warehouse, Data Lake, Data Engineering, Snowflake, SQL/RDBMS, OLAP