Remote Data Engineer (LATAM) BaB6510

Posted

This job is closed

This job post is closed and the position is probably filled. Please do not apply.  Automatically closed by a robot after apply link was detected as broken.

Description:

  • Nisum is a global leader in digital commerce based in California, offering services in digital strategy and transformation, analytics, blockchain, business agility, and custom software development.
  • The company was founded in 2000 and has grown to over 1,800 professionals across the United States, Chile, Colombia, India, Pakistan, and Canada.
  • Nisum is seeking a highly skilled and motivated Data Engineer to join their banking sector team.
  • The ideal candidate will be responsible for designing, building, and maintaining data infrastructures to support decision-making across the organization.
  • This role is crucial for ensuring data availability, customer experience, operational efficiency, data integrity, and quality for analysis and reporting.
  • Responsibilities include designing and maintaining robust and scalable data pipelines, integrating large volumes of data from various sources, and managing relational and non-relational databases.
  • The Data Engineer will work closely with data analysts, data scientists, and IT teams to understand data requirements and translate them into effective technical solutions.
  • The role also involves developing and optimizing ETL processes, ensuring data security and regulatory compliance, and collaborating on data models and architectures for efficient analysis and reporting.
  • Monitoring and troubleshooting data infrastructure issues to minimize downtime and documenting processes and best practices for data management are also key responsibilities.

Requirements:

  • Candidates must reside in LATAM.
  • A minimum of 2 years of proven experience as a Data Engineer is required.
  • Strong knowledge of SQL and NoSQL databases (MySQL, PostgreSQL, MongoDB, etc.) is essential.
  • Advanced programming skills in languages such as Python are necessary.
  • Familiarity with data integration and transformation tools is expected.
  • A solid understanding of data security practices and regulatory compliance in the financial sector is required.
  • The ability to work collaboratively and communicate effectively with both technical and non-technical stakeholders is important.
  • Candidates should possess problem-solving skills for complex issues.
  • While not mandatory, experience in designing and developing data pipelines using tools like Apache Spark, Hadoop, Kafka, etc., is a plus.
  • Advanced programming knowledge in Java or Scala and experience with Google Cloud services and data orchestration tools would be beneficial.

Benefits:

  • Employees will be part of an international and multicultural company that supports diversity.
  • The opportunity to work on international projects with a presence in North America, Pakistan, India, and LATAM is provided.
  • A remote and distributed work environment using agile methodologies is offered.
  • The company promotes a culture of continuous learning and development in current technologies.
  • A pleasant and collaborative work atmosphere focused on teamwork is emphasized.
  • Access to learning platforms, Google Cloud certifications, Databricks, Tech Talks, and more is available.
  • Employees can participate in various initiatives and activities related to innovation, hackathons, technology, agility, webinars, and well-being, with opportunities to be speakers.
  • Additional benefits are available for residents of Chile or Colombia through their respective centers.
Leave a feedback