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Software Engineer I - Data

1 hour, 47 minutes ago
India
Full-time
Junior
Data Engineer
Software Development
Agile Azure C# CI/CD HTML .NET Salesforce SQL SQL Server
Apply Now

Precision AQ

Precision AQ is a life sciences commercialization and healthcare consulting company that helps biopharma companies bring therapies to market and improve patient access. It describes itself as a commercialization partner for biopharma innovators, market access teams, and brand strategists, with expertise spanning access strategy, HEOR, medical communications, market access, data and analytics, branding, investor relations, and omnichannel/product solutions.

Business Consulting and Services
1001-5000
View All Jobs 41

Description

  • Prepare, transform, and structure client-specific data according to requirements while adhering to MLR guidelines.
  • Design, generate, and maintain baseline and customized messaging datasets for demos, frameworks, and production use.
  • Process and integrate data from third-party vendors using business rules and transformation logic to produce client-ready datasets.
  • Represent the Data Operations / Data Engineering function on active client and product initiatives.
  • Participate in daily stand-ups to review data readiness, defects, transformations, and deployments.
  • Follow change-management procedures for data updates, transformations, and environment promotions.
  • Document data pipelines, transformation logic, and standard operating procedures.
  • Create and maintain wiki articles for reusable processes, transformation patterns, and troubleshooting guidance.
  • Coordinate with development, product, and front-end teams to optimize data structures for UI rendering and configurability.
  • Support data deployments across Development, UAT, and Production using Octopus Deploy and controlled release processes.
  • Manage and validate data flows from Goliath servers to Core servers and into Salesforce through stored procedures and Boomi ETL workflows.
  • Set up and maintain data configurations for new client implementations, including environment-specific variations and vendor inputs.
  • Assist in developing automated data validation checks and regression test datasets.
  • Measure and track data quality and operational KPIs such as transformation accuracy, defect leakage, re-processing rates, and turnaround times.
  • Support production issue investigation, root cause analysis, escalation, and client communication in partnership with infrastructure support teams.

Requirements

  • Bachelor’s degree in Technology, Engineering, Data Science, Computer Science, or a related discipline.
  • 1–3 years of experience in a data-centric role such as Data Engineer, Data Analyst, Application Support (Data), or ETL / Integration role.
  • Strong working knowledge of SQL, including complex queries, stored procedures, and data validation logic.
  • Hands-on experience with data transformation and processing using SQL, scripting, or backend technologies such as .NET / C#.
  • Experience working with relational databases, with SQL Server preferred.
  • Understanding of Agile development methodologies and sprint-based delivery.
  • Experience with multi-environment data handling across Dev, UAT, and Prod.
  • Operational knowledge of Azure DevOps, Team Foundation Server, Octopus Deploy, or similar tools.
  • Basic understanding of HTML, tags, and structured content for front-end rendering support.
  • Exposure to continuous integration and deployment concepts for data pipelines.
  • Experience with Salesforce or Veeva CRM data models is a plus.
  • Working knowledge of US Healthcare or Market Access data concepts is a strong advantage.
  • Familiarity with Azure hosting components and data-related services.
  • Ability to analyze and reconcile large datasets from multiple vendors and sources.
  • Experience with ETL/ELT tools such as Boomi, SSIS, or similar integration platforms.
  • Experience working with complex data models supporting front-end applications.
  • Knowledge of C#, .NET, or scripting used for data processing and transformation logic.
  • Experience supporting Salesforce data integrations and environment-specific configurations.
  • Understanding of healthcare data standards and structures such as HL7 or FHIR, preferred.
  • Experience designing scalable, reusable, enterprise-grade data solutions.
  • Exposure to workflow engines, message-driven architectures, message queues, or event-based data processing.
  • Strong analytical and problem-solving skills with attention to detail and data quality.
  • May require domestic and/or international travel, including overnight stays, up to 5%.

Interested in this position?

Apply directly on the company website

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