About the Role:
ShareThis is seeking a skilled Data Integration Engineer for a client-facing role to ensure the smooth and efficient delivery of accurate data. The ideal candidate will work closely with the Data Engineering team to optimize and automate data integrations with data customers and data suppliers. The successful candidate will have a strong understanding of data integration processes, experience in optimizing data integrations, and excellent technical skills. This role will act as a liaison between clients, sales, operations, and engineering and will report to the VP of Product and Integrations.
About ShareThis:ShareThis uncovers the topography of human behavior, unlocking the power of digital behavioral data while providing stewardship and respect for global consumers who share their data. From our free sharing service installed on 3 million websites around the world, ShareThis assembles data from billions of user page visits every month, under agreements with site owners and with the permission of site visitors. Using this data, ShareThis builds products to help marketers understand and connect to groups of consumers most likely to be interested in that marketer’s products and messages. Our products are used by companies, agencies, and analytics providers, and are widely available through leading technology platforms. Our clients and partners choose ShareThis data for its unparalleled scale and breadth in delivering insight into consumer interest and intent.
Responsibilities:
As a member of the Product Integrations team, you will
● Directly and independently work with clients and suppliers to ensure that accurate data
is delivered smoothly and efficiently
● Work with the Data Engineering team to understand the current data integrations with
data customers and data suppliers
● Optimize and automate custom integrations to provide a seamless experience for clients
● Implement a QA process to continually improve the success rate and customer
satisfaction
● Identify and troubleshoot data integration issues in a timely manner, e.g. client access
(AWS/GCP buckets, Snowflake and more), internal data creation (Airflow DAGs, Scala
code) etc.
● Develop and implement best practices for data integration
● Collaborate with business partners and data engineers to understand business context,
technical needs, and review implementations to improve data integration process
efficiency
● Maintain and update internal technical documents related to integrations to ensure that
processes are sustainable and repeatable
Requirements:
● Bachelor’s degree in Computer Science, Computer Engineering, or a related field
● 5 or more years of experience in cloud-based data integration
● Strong communication and interpersonal skills, with a client-facing mentality
● Experience with cloud-based data integration tools for data management, ETL processes,
and database technologies (preferably AWS)
● Hands-on expertise with access and security on Cloud
● Expert level with SQL and scripting languages such as Python and Scala
● Experience with Airflow DAGs and GitHub
● Excellent analytical and problem-solving skills with a focus on data quality
● Ability to work independently and collaboratively as part of a multifunctional team
