G164 Data Engineering (All levels)

G164 Data Engineering (All levels)

01 sep
|
ClickSoftware
|
Partido de Pilar

01 sep

ClickSoftware

Partido de Pilar

To get the best candidate experience, please consider applying for a maximum of 3 roles within 12 months to ensure you are not duplicating efforts. Job CategoryProducts and Technology Job Details 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 (e.g. command-line tools, 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. Perks: Competitive compensation Stock options Annual performance bonus program OSDE 410 for your family group Wellness reimbursement Unlimited vacations Competitive Education Reimbursement Program Extended parental leave Bi-monthly salary inflation adjustment And so much more! Accommodations If you require assistance due to a disability applying for open positions please submit a request via this Accommodations Request Form. Posting Statement At Salesforce we believe that the business of business is to improve the state of our world. Each of us has a responsibility to drive Equality in our communities and workplaces. We are committed to creating a workforce that reflects society through inclusive programs and initiatives such as equal pay, employee resource groups, inclusive benefits, and more. Learn more about Equality at Salesforce and explore our benefits. Salesforce.com and Salesforce.org are Equal Employment Opportunity and Affirmative Action Employers. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender perception or identity, national origin, age, marital status, protected veteran status, or disability status. Salesforce.com and Salesforce.org do not accept unsolicited headhunter and agency resumes. Salesforce.com and Salesforce.org will not pay any third-party agency or company that does not have a signed agreement with Salesforce.com or Salesforce.org. Salesforce welcomes all.

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