Salesforce

Sr. Data Engineering

Job description

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 Category

Products 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.

  • Programming experience in Python or Go.

  • Experience with some of the following B ig data tools: Spark, Kafka, Hadoop, etc.

  • Experience with some R elational 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.

  • 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.

  • Handling 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:

  • Stock options

  • Long Term Savings Plan

  • Annual performance bonus program

  • OSDE 410 for your family group

  • Monthly Meal and Grocery Allowance

  • Monthly Wellness Reimbursement

  • Annual Education Reimbursement

  • Additional Life Insurance Coverage

  • Employee Stock Purchase Plan

  • Unlimited Vacation Days

  • Extended Parental Leave

  • Fertility and Adoption Support

  • Employee Assistance Program

  • Employee Discount Program

  • Extended parental leave

  • Bi-monthly salary inflation adjustment

  • Referral Program

  • And so much more!

Accommodations

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