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Digital Ops Support Analyst

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Onsite

Digital Ops Support Analyst

Quest Global

Digital Ops Support Analyst

Skills

SQL QueriesPythonSnowflakeData AnalysisAWS

22 days ago

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Important information


Contract type:

Permanent

Location:

Bengaluru, Karnataka, India

Work mode:

Onsite

Published on:

29 September 2026

What they need


Job Requirements At Quest Global, it’s not just what we do but how and why we do it that makes us different. With over 25 years as an engineering services provider, we believe in the power of doing things differently to make the impossible possible. Our people are driven by the desire to make the world a better place—to make a positive difference that contributes to a brighter future. We bring together technologies and industries, alongside the contributions of diverse individuals who are empowered by an intentional workplace culture, to solve problems better and faster.

Job Purpose Caterpillar is investing in our digital future, and we’re looking for a Data Analyst within

the Cat Digital Helios team to help maximize the value of Caterpillar’s digital

platform. Cat Digital is focused on accelerating services and parts growth by providing

digital solutions through data analytics, innovation and customer-focused

solutions. This role is a technical resource to support data pipeline and data flows in

and around Helios warehouse.

Job Duties

  • Understand the existing data flows / pipelines with Helios warehouse
  • Absorb the domain knowledge behind the datasets in Helios warehouse
  • Triage data gaps / bugs in production with required details towards fix
  • Replay the data pipeline / upload missing data to fix the data gap identified
  • Apply the code fix needed to ensure data integrity within Helios warehouse
  • Validate the data post the fix, to ensure that it is now as expected
  • Work with other departments to identify the right team to apply the fix
  • Work with other departments to absorb knowledge about new pipelines / flow
  • Follow established business rules for the use of an application or process.
  • Represent the application or process with other areas of the business who use or

integrate with this part of the business.

  • Seek input from relevant areas of the business that should have inputs to this

application or process.

  • Understanding, evaluating and reacting to routine problems or situations with

external contacts is also part of this assignment.

  • Interaction is within the framework of existing business policies and practices

and/or established business relationships.

  • Problems and issues usually involve careful interpretation, analysis or diagnosis.
  • Identify the nature of a complex or undefined problem and then develop the best

solution or application from numerous alternatives.

We are known for our extraordinary people who make the impossible possible every day. Questians are driven by hunger, humility, and aspiration. We believe that our company culture is the key to our ability to make a true difference in every industry we reach. Our teams regularly invest time and dedicated effort into internal culture work, ensuring that all voices are heard.

We wholeheartedly believe in the diversity of thought that comes with fostering a culture rooted in respect, where everyone belongs, is valued, and feels inspired to share their ideas. We know embracing our unique differences makes us better, and that solving the worlds hardest engineering problems requires diverse ideas, perspectives, and backgrounds. We shine the brightest when we tap into the many dimensions that thrive across over 21,000 difference-makers in our workplace.

Work Experience Requires a college or university degree, technical certification or equivalent

experience.

  • 3 or more years of experience working in data pipeline related technologies or

data validations

  • Interpersonal skills to deal with sensitive, emotional or potentially controversial

situations.

  • This position should be familiar with data management of an application overall

Technical Qualifications

  • Core Skills on programming languages (SQL; Python)
  • Fundamental practical knowledge on AWS services, like s3; Sagemaker; RDS;

Kinesis; DynamoDB; Lamda

  • Fundamental practical knowledge on Snowflake and its properties
  • Ability to understand and analyse end-to-end data flow and pipeline
  • Familiar with database concepts

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