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Algoleap Technologies Pvt Ltd

Data Engineer

Algoleap Technologies Pvt Ltd Hyderabad, Telangana, India

IT Services and IT Consulting · 501-1,000 employees

Oct 08
data-engineer Senior (5-10 yrs) Full-time India
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About the role

The Data Engineer will maintain and optimize data pipelines, dashboards, and integration flows across Snowflake, SnapLogic, and Salesforce Data Cloud. They are responsible for incident triage, root-cause analysis, and ensuring data integrity for brokerage and client intelligence applications.

What they look for

Snowflake SQL SnapLogic MuleSoft Power BI DAX Salesforce Data Cloud R Python Data Engineering Data Integration Business Intelligence Data Transformation Data Modeling Incident Triage Root-cause Analysis

Requirements

Candidates must have at least 5 years of experience in data engineering or BI support with strong proficiency in SQL and Snowflake. Hands-on experience with integration tools like SnapLogic or MuleSoft and familiarity with Power BI, R, and Python are required.

Full description

Key Responsibilities

  • Keep the brokerage dashboard application accurate and

timely, so brokers and market leaders can rely on it to improve pipeline accuracy and drive revenue growth.

  • Keep the client intelligence platform reliable, so

teams can use the unified client view to strengthen engagement, growth strategies, and revenue opportunities.

  • Maintain, optimize, and debug Snowflake SQL queries,

views, and stored business logic.

  • Support, monitor, and update SnapLogic pipelines that

move data from source systems into Snowflake.

  • Maintain Power BI dashboards, update DAX calculations,

and resolve refresh and reporting issues.

  • Support R-based data integrity and validation scripts,

and help migrate that logic to Snowflake and Python.

  • Manage and troubleshoot Salesforce Data Cloud Data Lake

Objects (DLOs) and streaming and batch Data Transforms.

  • Maintain and update Mule 4 flows and DataWeave

transformations for objects not natively supported in Data Cloud.

  • Provide coverage across both applications, reducing

single points of failure.

  • Perform incident triage and root-cause analysis

spanning ingestion, transformation, and reporting layers.

  • Keep documentation, monitoring, and support runbooks

consistent across both applications.

Required Qualifications

  • 5+ years in data engineering, integration, or BI

support.

  • Strong SQL and Snowflake expertise.
  • Hands-on experience with at least one of SnapLogic or

MuleSoft (Mule 4 and DataWeave), and working proficiency in the other.

  • Working knowledge of Power BI and DAX.
  • Working experience with Salesforce Data Cloud.
  • Ability to read and debug R, with Python for migration

work.

  • Strong ownership, prioritization, and stakeholder

communication skills.

Preferred Qualifications

  • Experience in a multi-application support or

shared-services model.

  • Relevant certifications (Snowflake, MuleSoft,

Salesforce Data Cloud, Microsoft PL-300).

  • Exposure to observability and alerting practices for

data pipelines.

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