Senior Data Engineer

Collaborate within an agile, multi-disciplinary team to deliver optimal data integration and transformation solutions

Analyze data requirements (functional and non-functional) to develop and design robust scalable automated, fault-tolerant data pipeline solutions for business and technology initiatives

Profile data to assess the accuracy and completeness of data sources and provide feedback in data gathering sessions

Design, build, maintain and operationalize data pipelines for high volume and complex data using appropriate tools and practices in development, test and production environments. Design with modularity to leverage reuse of code wherever possible

Develop and design data mappings, programs, routines and SQL to acquire data from legacy, web, cloud and purchased package environments into the analytics environment

Understand and apply the appropriate use of ELT, ETL, data virtualization and other methods to optimize the balance of minimal data movement against performance, and mentor others on their appropriate use

Drive automation of data pipeline preparation and integration tasks to minimize manual and error-prone processes and improve productivity using modern data preparation, integration and AI-enabled metadata management tools and techniques

Leverage auditing facilities that will enable monitoring of data quality to detect emerging issues

Deploy transformation rules to cleanse against defined rules and standards

Participate in architecture, governance and design reviews, identifying opportunities and making recommendations

Participate in health check assessments of the existing environment and evaluations of emerging technologies

Collaborate with architects to design and model application data structures, storage and integration in accordance with enterprise-wide architecture standards across legacy, web, cloud and purchased package environments

Job Specifications

Typically has the following skills or abilities:

Bachelor's degree in computer science, data science, statistics, economics or related functional area; or equivalent experience

Excellent written and verbal communication skills with the ability to gather requirements and effectively communicate technical concepts and ideas to all levels of employees and management

6+ years' experience working in development team providing analytical capabilities

6+ years of hands-on experience in the data space spanning data preparation, SQL, integration tools, ETL/ELT / data pipeline design

SQL coding experience

Experience working in an agile development environment (Scrum, Kanban) with a focus on

Continuous Integration and Delivery

Knowledge about various data architectures, patterns and capabilities such as event-driven architecture, real-time data flows, non-relational repositories, data virtualization, cloud storage, etc.

Knowledge of and experience with multiple data integration platforms (IBM InfoSphere DataStage,

Oracle Data Integrator, Informatica PowerCenter, MS SSIS, AWS Glue, Denodo), and data warehouse MPP platforms such Snowflake, Netezza, Teradata, Redshift, etc.

Familiarity with DataOps practices and their application within analytics environments as well as their ability to extend data and analytics capabilities to other operational systems and consumers

Familiarity with event store and stream processing (Apache Kafka and platforms like Confluent) and with API development and management platforms (MuleSoft, Axway) is beneficial

Capable of focusing on a specific set of tasks while also ensuring alignment to a broader strategic design

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Compensation range for the role is listed below. Applicable salary ranges may differ across markets. Actual pay will be determined based on experience and other job-related factors permitted by law. As a part of the compensation package, this role may include eligible bonuses and commissions. For more information regarding VSP Vision benefits, pleaseclick here.

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