SnowFlake Data Engineer

• Develops code and solutions that transfers/transforms data across various systems

• Maintains deep technical knowledge of various tools in the data warehouse, data hub,

• and analytical tools.

• Ensures data is transformed and stored in efficient methods for retrieval and use.

• Maintains data systems to ensure optimal performance

• Develops a deep understanding of underlying business systems involved with analytical systems.

• Follows standard software development lifecycle, code control, code standards and

• process standards.

• Maintains and develops technical knowledge by self-training of current toolsets and

• computing environments, participates in educational opportunities, maintains professional

• networks, and participates in professional organizations related to their tech skills

Systems Analysis

• Works with key stakeholders to understand business needs and capture functional and

• technical requirements.

• Offers ideas that simplify the design and complexity of solutions delivered.

• Effectively communicates any expectations required of stakeholders or other resources

• during solution delivery.

• Develops and executes test plans to ensure successful rollout of solution, including accuracy

• and quality of data.

Service Management

• Effectively communicates to leaders and stakeholders any obstacles that occur during

• solution delivery.

• Defines and manages promised delivery dates.

• Pro-actively research, analyzes, and predicts operational issues, informing leadership

• where appropriate.

• Offers viable options to solve unexpected/unknown issues that occur during

• solution development and delivery.

EDUCATION / JOB-RELATED TECHNICAL SKILLS:

• Bachelor's Degree in Computer Science/Information Technology or equivalent

• Ability to effectively communicate with others at all levels of the Company both verbally and in

• writing. Demonstrates a courteous, tactful, and professional approach with employees and

• others.

• Ability to work in a large, global corporate structure

• Advanced English level, advanced level of additional language is a plus

• Strong sense of ethics and company's core values and adherence thereto

• Willingness to travel both domestically and internationally to support global implementations.

• Demonstrated ability to clearly isolate and define problems, effectively evaluate alternative

solutions, and make decisions in a timely manner.

• Good decision-making ability, ability to operate in ambiguous situations and high analytical

• ability to judge pros-cons of approaches against objectives.

• Candidate must have a minimum of (3) years of experience in a Data Engineer role, including the following tools/technologies:

o Experience with relational (SQL) databases.

o Experience with data warehouses like Oracle, SQL & Snowflake.

o Technical expertise in data modeling, data mining and segmentation techniques.

o Experience with building new and troubleshooting existing data pipelines using tools like Pentaho Data Integration.

o Experience with batch and real time data ingestion and processing frameworks.

o Experience with languages like Python, Java, etc.

o Knowledge of additional cloud-based analytics solutions, along with Kafka, Spark and Scala is a plus.

BEHAVIOR / SOFT SKILLS:

• Professional skills, written technical concepts

• Leads problem solving teams

• Able to resolve conflict efficiently

• Works with multiple cross-functional projects

• Drives process mapping sessions

KORN FERRY COMPETENCIES:

• Customer Focus

• Builds Networks

• Instills Trust

• Tech Savvy

• Interpersonal Savvy

• Demonstrates Self-Awareness

• Action Oriented

• Collaborates

• Nimble Learner