MuleSoft, a Salesforce Company, sits at the heart of all convergent technologies trends (SaaS, big data, APIs, microservices, etc.
and our developers are tackling some of the most challenging problems in technology today.
As a Data Engineer at Mulesoft, you’ll be responsible for maintain, improve, redesign and redefine product data pipelines, using AWS technologies, with strong focus on integrate new data sources to aggregate that information on a Redshift Data warehouse, to provide a variety of reports and dashboards using Tableau across the entire Mule Organization.
MuleSoft Data Engineers come from a wide variety of backgrounds and are naturally curious self-learners, and build the right solution for the long term rather than the right solution for right now.
What you’ll need to be successful :
Relevant experience in a Data Engineer role.
Experience building and optimizing data pipelines, architectures and data sets.
Experience with some of the following Big data tools : Hadoop, Spark, Kafka, etc.
Experience with some Relational SQL or NoSQL databases : MongoDB, Postgres, Redshift and Snowflake.
Desired experience with data pipeline and workflow management tools : Argo, Airflow, etc.
Desired experience with Cloud ETL Tools : Boomi, Matillion, etc.
Programming experience in Python or Go.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Basic Linux skills (, bash scripts).
Experience of working in an Agile environment is desired.
Managing customer expectations and provide post-implementation support experience.
Working knowledge of message queuing, stream processing, and highly scalable big data’ data stores.
Analytic skills related to working with structured and unstructured datasets (JSON, Binary, CSV, AVRO, etc.).
Experience with implementing data security and role based access controls.
Annual performance bonus program
OSDE 410 for your family group
Competitive Education Reimbursement Program
Extended parental leave
Bi-monthly salary inflation adjustment
And so much more!
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