Associate Staff Engineer (Power BI)

Nagarro; Hyderabad; Presencial; INR 1.200.000 - 2.400.000; Jornada completa

Descripción de la vacante

Nagarro is seeking a data engineering specialist with 4+ years of experience to drive reporting and data integration across Snowflake, Power BI, SnapLogic, MuleSoft, and Salesforce Data Cloud. You will optimize SQL, develop DAX calculations, and maintain robust pipelines and dashboards for informed decision-making.

The role demands strong analytical and written communication skills, incident management, and the ability to collaborate with cross-functional teams.

Formación

• 4+ years of experience in data engineering, data integration, BI, or app support.
• Expert-level Power BI with dashboard development, DAX, data modeling, refresh management, and troubleshooting.
• Snowflake expertise including SQL optimization, views, and stored logic.
• Hands-on with SnapLogic and MuleSoft (Mule 4, DataWeave) with proficiency in one and working knowledge of the other.
• Experience with Salesforce Data Cloud (DLOs, streaming/batch Data Transforms, data integration).
• Strong understanding of data ingestion, transformation, integration, and reporting workflows.
• Read/understand and debug R scripts; Python knowledge for migration/validation.
• Troubleshooting data pipelines, dashboard refresh issues, and integrations.
• Strong analytical, problem-solving, and incident management.
• Ownership, documentation, and stakeholder communication.
• Experience in multi-application/shared-services environments preferred.
• Exposure to observability, monitoring, alerts, and operations practices preferred.
• Certifications in Snowflake, MuleSoft, Salesforce Data Cloud, or PL-300 desirable.

Responsabilidades

• Maintain and support brokerage dashboard application to improve pipeline accuracy and revenue.
• Ensure reliability of client intelligence platform with unified customer view.
• Maintain, optimize, and troubleshoot Snowflake queries, views, and business logic.
• Monitor and update SnapLogic pipelines for data ingestion into Snowflake.
• Maintain Power BI dashboards, update DAX, resolve refresh/performance issues.
• Support R-based data integrity scripts and migrate logic to Snowflake/Python.
• Manage Salesforce Data Cloud DLOs, including streaming/batch transforms.
• Enhance Mule 4 flows and DataWeave for non-native DF cloud objects.
• Provide cross-application support and minimize single points of failure.
• Perform incident triage and root-cause analyses across layers.
• Maintain technical docs, monitoring procedures, and runbooks.
• Collaborate with stakeholders to prioritize issues and ensure reliability.

Conocimientos

Power BI

Snowflake

SnapLogic

MuleSoft

Salesforce Data Cloud

Data integration

Python

R scripting

Data pipelines

Documentation

Certifications

Educación

CS/IT degree

Herramientas

Snowflake

Power BI

SnapLogic

MuleSoft

Salesforce Data Cloud

R

Python

PL-300

Descripción del empleo

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
• Relevantexperience 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.