Senior Snowflake Data Engineer

Pay Range:

• $140000 - $160000 / year

Our Perks:

• Generous PTO plans sick pay and health benefits
• Annual bonus based on employment standing*
• Work from home and hybrid model employment
• Confie Enablement Fund/ Scholarship Program
• I-Care Recognition Program
• Corporate Social Responsibility Program
• Diversity Equity and Inclusion Initiatives
• Confie Hub and Discount Programs (Gym Membership)

Purpose

Work under the guidance and supervision of the Director Enterprise Architecture to build Confies next-generation Enterprise Data Solutions. Responsible for developing robust data models creating efficient ELT processes and optimizing performance to support the organizations data needs. Requires expertise in designing implementing and maintaining data solutions on Snowflake data cloud environments that drive critical business insights and operations

Essential Duties & Responsibilities

Design and develop data pipelines ETL workflows to populate the cloud Data Lake and Data Warehouse on Snowflake with a transformation tool (e.g. Coalesce WhereScape Azure Data Factory) and replication tools (e.g. Fivetran Airbyte etc.)

Translate business requirements into technical specifications; establish and define details definitions and requirements of applications components and enhancements

Design and develop robust and scalable data pipelines to support data integrations using Snowflake Coalesce Python Airflow and Fivetran

Design and develop Snowflake data objects (tables views stored procedures UDFs etc.)

Implement ELT (Extract Load Transform) processes using Snowflakes features such as Snowpipe Streams and Tasks

Perform data cleaning analysis and integration using Python

Ability to work with multiple data sources and types (structured/semi-structured/unstructured)

Design and implement efficient data models and schemas within Snowflake to support reporting analytics and business intelligence needs

Monitor and optimize query performance and resource utilization within Snowflake using query profiling query optimization techniques and workload management features

Identify and resolve performance bottlenecks and optimize data warehouse configurations for maximum efficiency

Implement processes and systems to monitor data quality ensuring production data is always accurate and available for key stakeholders and business processes that depend on it

Monitor data pipelines for timely and accurate completion

Stay up-to-date with industry trends and advancements in data engineering continuously improving the teams technical knowledge and skills

On-call support

Qualification and Education Requirements

6 years of professional experience in data engineering designing and implementing data pipelines and building data infrastructure

5 years of strong experience required in Snowflake data cloud and ETL development including Snowflake procedures UDFs in Python and SQL streams tasks Snowpipe and working with semi-structured data etc.

5 years of strong experience with Python programming and extensively used frameworks/packages like Snowpark pandas numpy and requests for Data Analysis and integration

Solid understanding of data warehousing concepts dimensional modeling and data integration techniques

5 years of strong experience with Data Integration & transformation tools like Coalesce WhereScape and Azure Data Factory

Experience with Databricks Google BigQuery and AWS Redshift is a plus

Experience with data quality and observability concepts is a plus

Experience with cloud platforms (e.g. AWS Azure GCP) and cloud-based data technologies is a plus

Skills:

• A Love for All Things Data - The backbone of a good data engineer is to understand the life cycle of data movements from source to final interpretations on a report
• A Passion to Learn - Strong desire and ability to learn new tools skills and acquire knowledge
• Listening Skills - The ability to understand what people say
• Analytical Skills - The ability to critically evaluate the information from multiple sources and break down high-level information into details
• Observation Skills - The ability to validate data obtained via other techniques and expose new areas for elicitation
• Organizational Skills - The ability to work with the vast array of information gathered during analysis and to cope with rapidly changing information
• Interpersonal Skills - The ability to help set priorities
• Oral and Written Skills - Excellent written and verbal communication with little to no supervision
• Critical thinking and problem-solving skills
• Confidence in communicating and translating data-driven insights and technical concepts into simple terminology for business clients of various levels
• Ability to work and communicate effectively with any level of the user community

Qualifications and Education Requirements

Bachelors degree in Computer Science Engineering or a related field

Snowflake Advanced Certification is a plus

Additional certifications related to data platforms are a plus

Other Duties

This job description is not designed to cover or contain a comprehensive listing of activities duties or responsibilities that are required of the employee for this job. Duties responsibilities and activities may change at any time with or without notice

As permitted by applicable law and from time-to-time Confie may use a computer system that has elements of artificial intelligence to help make decisions about your employment including recruitment hiring renewal of employment or the terms and conditions of your employment. Employees with questions about Confies use of these computer systems should contact Human Resources at

Required Experience:

Senior IC