Nisum Latam

Data Engineer (Latam) in Nisum Latam

Closed job - No longer receiving applicants

Nisum is a leading global digital commerce firm headquartered in California, with services spanning digital strategy and transformation, insights and analytics, blockchain, business agility, and custom software development.
Founded in 2000 with the customer-centric motto “Building Success Together®,” Nisum has grown to over 1,800 professionals across the United States, Chile,Colombia, India, Pakistan and Canada. A preferred advisor to leading Fortune 500 brands, Nisum enables clients to achieve direct business growth by building the advanced technology they need to reach end customers in today’s world, with immersive and seamless experiences across digital and physical channels.

Nisum is an Equal Opportunity Employer and we are proud of our ongoing efforts to foster diversity and inclusion in the workplace.

What challenges will you face as a Data Engineer?

  • You will be responsible for the acquisition, modeling, transformation, and delivery of the organization’s data in support of reporting and analytics while also keeping an eye out for trends or inconsistencies that will impact business goals for one of our important clients located in US.
  • You will be working closely with Data Analysts and Business Intelligence Developers, ensuring that the data pipeline from source to presentation layer is available and robust.

Responsibilities include but are not limited to:

  • Ingest data from a variety of internal and third-party sources
  • Connect to data sources including open API, databases
  • Define and implement a robust automated data pipeline using modern techniques
  • Model data supporting a variety of uses such as reporting, analysis, and internal and external data delivery
  • Ensure and improve data reliability, linage, efficiency, and quality
  • Develop data set processes and best practices
  • Identify, design and implement internal process improvements
  • Provide accurate project effort estimates

To be successful in this role, we expect you to have the following skills and experience:

  • You must reside in Latam
  • Advanced working SQL knowledge and experience with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
  • At least 5 years of relevant experience related to data acquisition, ingestion, warehousing and modeling
  • Advanced english communication skills
  • Experience with APIs, Python
  • Understanding of ETL/ELT tools and processes
  • Experience building processes supporting data transformation, data structures, metadata, dependency, and workload management
  • Demonstrated analytical, technical, and problem-solving skills
  • Detail-oriented, and organized with strong verbal and written communication skills

Skills and experience that would be nice for you to have:

  • AWS
  • Redshift data warehousing
  • Repositories within AWS
  • Snowflake type technologies that are part of AWS

What do we offer?

- You will belong to an international and multicultural company that supports diversity.

- Be part of international projects with a presence in North America, Pakistan, India and Latam.

- Work environment with extensive experience in remote and distributed work, using agile methodologies.

- Culture of constant learning and development in current technologies.

- Pleasant and collaborative environment, with a focus on teamwork.

- Access to learning platforms, Google Cloud certifications, Databricks, Tech Talks, etc. You will be part of various initiatives and continuous participation in internal and external activities of innovation, hackathon, technology, agility, talks, webinars, well-being and culture with the possibility not only to participate but also to be an exhibitor.

- If you’re from Chile you will also have access to: Sodexo Card, Sala Cuna benefit, Agreement with the SmartFit gym, Access to Complementary Health Insurance, Mutual Security, among others!

Fully remote You can work from anywhere in the world.

Remote work policy

Fully remote

Candidates can reside anywhere in the world.

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