Responsibilities

·       Own the end-to-end sample file process for our CX relationship and journey surveys.

·       Design and implement data models, schemas, and ETL processes using various tools and technologies.

·       To have a systematic approach to plan, create, and maintain data architecture while also keeping it aligned with business requirements.

·       Optimize and monitor the performance, reliability, and availability of data pipelines and systems.

·       Work towards identifying data patterns and trends in our customer data to aide opportunities to streamline, standardize and improve processes.

·       Create predictive models to apply forecasting techniques to learn about the future with actionable insights.

·       To own and maintain MDS (my data space) on snowflakes/data lake ensuring smooth integration and flow of the data to-and-fro from CEM platform.

·       To dive into data and pinpoint tasks where manual participation can be eliminated with automation.

·       Partner across our team and with our CX vendors to understand, troubleshoot and implement changes as needed (such as back-tracking hard coded queries, reverse engineering, sampling issues, timelines to delivery, etc.)

·       Support data analysis and reporting by providing data access, tools, and documentation.

·       Research and evaluate new data technologies and best practices to improve data engineering processes and solutions.

·       Develop a deep understanding of the technology platform(s) to prepare sample files for customer surveys.

·       Be curious. Ask questions. Challenge the status quo. Look for ways to do things differently and continue to drive improvements in our customer experience.

 

Skills & Qualifications

·       Experience working with database management systems (EDW (Enterprise Data Warehouse), Snowflake, Data Lake, Oracle Database) required.

·       Understanding of various enterprise solutions for Customers, Contacts, Products etc.

·       4+ years’ experience in various aspects of data engineering or related roles

·       Bachelor’s degree in computer science, Engineering, or related field.

·       Knowledge of ELT tool Alteryx or similar tool for data manipulation and transformation.

·       Proficient in SQL and Python and familiar with other programming languages

·       Experience with data quality, testing, and security frameworks and tools

·       Experienced with data analytics, data mining, and data cleansing activities.

·       Ability to work well under pressure with a proactive approach, including managing multiple deadlines and changing project scope/direction.

·       Strong analytical, problem-solving, and communication skills

·       Must be willing to challenge the status quo and continually seek more information both to ensure understanding, and to drive improvements.

·       Encourages diversity of thought and respects cultural differences.

·       Ability to flex working hours to meet business needs.

·       Encourages diversity of thought and respects cultural differences.

Ability to flex working hours to meet business needs.