Senior Data Engineer - Guadalajara, México - Apptegy

Descripción

About Apptegy

Since our start in 2015, we've gone from a group of individuals to a community pushing toward the same goal of building a fantastic company with great people, great products, and, most importantly, a great culture.

Apptegy is building products to empower school leaders to run better schools.

We are growing quickly and are focused on bringing thoughtful, high-performers together to craft amazing products for our clients and to make Apptegy a better place than it already is.

A Data Engineer at Apptegy is...
someone who will work within our growing team of analytics experts.

This person will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross-functional teams.

As a Data Engineer, you will

• Support our software developers, database architects, data analysts and data scientists on data initiatives, and will ensure optimal data delivery architecture is consistent throughout ongoing projects.
• Create and maintain optimal data pipeline architecture
• Assemble large, complex data sets that meet functional / nonfunctional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, redesigning infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Python technologies.
• Setup and configure analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with datarelated technical issues and support their data infrastructure needs.

What you should bring to the table:

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with disparate datasets and how to stitch them together.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Working knowledge of message queuing, stream processing, and highly scalable data stores. Strong project management and organizational skills.
• Experience supporting and working with crossfunctional teams in a dynamic environment.
• Experience designing and building data warehouses and data marts.

Experience in the following areas is a plus:

• Experience with relational SQL databases, such as Postgres, etc.
• Experience with data pipeline and workflow management tools, such as CloverDX, Informatica, etc.
• Experience with AWS cloud services, such as EC2, RDS, SQS, Lambda, etc.
• Experience with one or more of Python, Java, Ruby, etc.
• Experience with the Salesforce platform

What else should I know?

We take our responsibility as a company seriously and aim to make this the best job that you've had (and one that sets you up for future success).

We want your day at work and your time at home to be a joyful experience that's why we provide:

• Medical insurance for you and dependents
• 15 days Aguinaldo
• Vacation Bonus
• Vales de Despensa
• Paid Parking
• Discretionary/flexible paid time off policy
• Paid travel to/from Little Rock, Arkansas

If the challenge of building a rapidly growing startup excites you as much as it does us, we hope that you'll consider joining us.