Data Engineer

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and sustain data pipelines to enhance enterprise data and analytics functionalities.

• Work collaboratively with analytics teams, data warehousing professionals, DBAs, subject matter experts, and a diverse agile team.

• Create solutions for data integration and transformation.

• Document and evaluate both functional and non-functional data requirements.

• Design scalable, automated, and fault-tolerant data pipeline solutions.

• Analyze data to ensure source accuracy and completeness, collaborating with business partners to resolve any discrepancies.

• Construct and manage pipelines across development, testing, and production environments.

• Design modular solutions that enhance code reuse.

• Generate data mappings, programs, routines, and SQL to extract data from legacy systems, web sources, cloud environments, and commercial packages.

• Employ ELT, ETL, data virtualization, and other techniques to optimize data transfer and performance.

• Oversee metadata management procedures and documentation.

• Monitor data quality and formulate transformation rules for data cleansing.

• Engage in code reviews and unit testing to enhance performance and reduce issues.

⛳️ Requirements

• Bachelor’s degree in computer science, data science, statistics, economics, or a related field; or equivalent experience.

• Strong written and verbal communication abilities.

• Capability to gather requirements and collaborate with colleagues and business partners.

• Over 4 years of experience in a development team providing analytical solutions.

• More than 4 years of practical experience in data preparation, SQL, integration tools, ETL/ELT, and data pipeline design.

• Proficiency in SQL coding.

• Familiarity with agile development methodologies, including Scrum and Kanban.

• Emphasis on Continuous Integration and Delivery.

• Previous experience with data integration platforms like IBM InfoSphere DataStage, Oracle Data Integrator, Informatica PowerCenter, MS SSIS, AWS Glue, or Denodo.

• Understanding of data warehouse MPP platforms such as Snowflake, Netezza, Teradata, or Redshift.

• Familiarity with event stores and stream processing, including Apache Kafka and platforms like Confluent, is advantageous.

• Knowledge of API development and management platforms such as MuleSoft and Axway is beneficial.

• Ability to concentrate on specific tasks while aligning with broader strategic designs.

• A proactive, self-motivated approach with a commitment to continuous learning.

• For remote or hybrid positions, maintain high engagement in virtual settings, including camera presence during meetings.

• Must adhere to VSP Vision Information Security and Privacy Policies when handling sensitive personal data.

🏝️ Benefits

• Potential bonuses and commissions may be part of the compensation package.

• Access to VSP Vision benefits.

• A drug-free workplace environment.

• Pre-employment substance abuse testing is conducted.