Associate Staff Engineer (Power BI)

Posted 20 Days Ago
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Hyderabad, Telangana, IND
In-Office
Mid level
Artificial Intelligence • Information Technology • Machine Learning • Software • Virtual Reality • Analytics
The Role
Maintain and support business-critical brokerage and client intelligence applications. Develop and troubleshoot Power BI dashboards, DAX calculations, Snowflake SQL, SnapLogic pipelines, Salesforce Data Cloud objects, and MuleSoft integrations. Investigate data quality, refresh, pipeline, and integration issues; perform incident triage and root-cause analysis; support R and Python data logic migration; and maintain monitoring, documentation, and operational runbooks while collaborating with stakeholders.
Summary Generated by Built In
Company Description

👋🏼We're Nagarro.

We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale — across all devices and digital mediums, and our people exist everywhere in the world (18500+ experts across 39 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in!

Job Description

Requirements

  • Experience : 4+yrs
  • Relevant experience in data engineering, data integration, business intelligence, or application support.
  • Expert-level proficiency in Power BI, including dashboard development, DAX calculations, data modeling, refresh management, and troubleshooting.
  • Strong hands-on expertise in Snowflake, including SQL query optimization, views, and stored business logic.
  • Hands-on experience with SnapLogic and MuleSoft, including Mule 4 and DataWeave, with strong proficiency in at least one and working knowledge of the other.
  • Practical experience with Salesforce Data Cloud, including Data Lake Objects (DLOs), streaming and batch Data Transforms, and data integration.
  • Strong understanding of data ingestion, transformation, integration, and reporting workflows.
  • Ability to read, understand, and debug R scripts, with working knowledge of Python for data logic migration and validation.
  • Experience troubleshooting data pipeline failures, data quality issues, dashboard refresh errors, and integration problems.
  • Strong analytical, problem-solving, prioritization, and incident management skills.
  • Excellent ownership, documentation, and stakeholder communication skills.
  • Experience working in a multi-application support or shared-services environment is preferred.
  • Exposure to data pipeline observability, monitoring, alerting, and operational support practices is preferred.
  • Relevant certifications in Snowflake, MuleSoft, Salesforce Data Cloud, or Microsoft Power BI (PL-300) are desirable.

Responsibilities

  • Maintain and support the brokerage dashboard application, ensuring accurate and timely reporting to help brokers and market leaders improve pipeline accuracy and drive revenue growth.
  • Ensure the reliability of the client intelligence platform, enabling teams to leverage a unified client view for stronger engagement, growth strategies, and revenue opportunities.
  • Maintain, optimize, and troubleshoot Snowflake SQL queries, views, and stored business logic.
  • Monitor, support, and update SnapLogic pipelines responsible for ingesting data from source systems into Snowflake.
  • Maintain Power BI dashboards, update DAX calculations, and resolve data refresh, performance, and reporting issues.
  • Support R-based data integrity and validation scripts, and assist in migrating existing logic to Snowflake and Python.
  • Manage and troubleshoot Salesforce Data Cloud Data Lake Objects (DLOs), including streaming and batch Data Transforms.
  • Maintain and enhance Mule 4 flows and DataWeave transformations for objects not natively supported by Salesforce Data Cloud.
  • Provide cross-application support and operational coverage to minimize single points of failure.
  • Perform incident triage, troubleshoot data issues, and conduct root-cause analysis across ingestion, transformation, integration, and reporting layers.
  • Maintain accurate technical documentation, monitoring procedures, and support runbooks across both applications.
  • Collaborate with stakeholders to prioritize issues, resolve incidents, and ensure business-critical applications remain reliable and performant.

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related field.

Skills Required

  • 4+ years of experience
  • Relevant experience in data engineering, data integration, business intelligence, or application support
  • Expert-level proficiency in Power BI, including dashboard development, DAX calculations, data modeling, refresh management, and troubleshooting
  • Strong hands-on expertise with Snowflake, including SQL query optimization, views, and stored business logic
  • Hands-on experience with SnapLogic and MuleSoft, including Mule 4 and DataWeave; strong proficiency in one and working knowledge of the other
  • Practical experience with Salesforce Data Cloud, including DLOs, streaming and batch Data Transforms, and data integration
  • Strong understanding of data ingestion, transformation, integration, and reporting workflows
  • Ability to read, understand, and debug R scripts
  • Working knowledge of Python for data logic migration and validation
  • Experience troubleshooting data pipeline failures, data quality issues, dashboard refresh errors, and integration problems
  • Strong analytical, problem-solving, prioritization, and incident management skills
  • Excellent ownership, documentation, and stakeholder communication skills
  • Experience working in a multi-application support or shared-services environment
  • Exposure to data pipeline observability, monitoring, alerting, and operational support practices
  • Relevant certifications in Snowflake, MuleSoft, Salesforce Data Cloud, or Microsoft Power BI PL-300
  • Bachelor's or master's degree in computer science, Information Technology, or a related field

Nagarro Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Nagarro and has not been reviewed or approved by Nagarro.

  • Pay Growth & Progression — Compensation is at times described as competitive, with salary hikes and perks occurring on certain occasions. Better growth opportunities and compensation are also positioned as an advantage versus other service-based companies.
  • Flexible Benefits — Work arrangements are framed around a “work-from-anywhere” mindset with flexitime and family-friendly working models. This flexibility appears to add meaningful value to the overall rewards package for many roles.
  • Healthcare Strength — Medical, dental, and vision coverage are described as available for employees and dependents, alongside life insurance. Mental-health support is also included via an Employee Assistance Program (EAP).

Nagarro Insights

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The Company
HQ: Munich
19,994 Employees
Year Founded: 1996

What We Do

Nagarro helps future-proof your business through a forward-thinking, fluidic, and CARING mindset. We excel at digital engineering and help our clients become human-centric, digital-first organizations, augmenting their ability to be responsive, efficient, intimate, creative, and sustainable. Today, we are 19,000 experts across 36 countries, forming a Nation of Nagarrians, ready to help our customers succeed.

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