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Urgent! Data Engineer Jobs | iMentus

Data Engineer



Job description

iMentus is a fast-growing technology services company based in Indore, India.

We are serving more than 30 global clients majorly in America and Europe geography.

We’re a progressive, start-up-turned-scale-up building the finance ecosystem of the future, backed by the power and scale of Blockchain technology, and we’re looking to bring in a cutting-edge Data Engineer to join our Team.

If you’re looking for a role with a young company that’s building products to empower the next generation of creatives, then we want to hear from you! Your soft skills are also important to us.

We value team players who’re willing to take ownership and accountability for their work, display empathy in the creative process, apply critical thinking to ideation, and possess the patience and perseverance to see a project or product feature through from conceptualization to delivery.

For any queries please reach out to or visit our website imentus.com


Data Engineer Job Responsibilities:

  • Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.
  • Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.
  • Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
  • Writes unit/integration tests, contributes to engineering wiki, and documents work.
  • Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.
  • Works closely with a team of frontend and backend engineers, product managers, and analysts.
  • Defines company data assets (data models), spark, sparkSQL, and hiveSQL jobs to populate data models.
  • Proficient in analytics tools like Tableau, Knime, and Apache Spark.
  • Designs data integrations and data quality framework.
  • Designs and evaluates open source and vendor tools for data lineage.
  • Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.


Data Engineer Qualifications / Skills:

  • Knowledge of best practices and IT operations in an always-up, always-available service
  • Experience with or knowledge of Agile Software Development methodologies
  • Excellent problem solving and troubleshooting skills
  • Process oriented with great documentation skills
  • Excellent oral and written communication skills with a keen sense of customer service



Required Skill Profession

Computer Occupations



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