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Data Developer

Location

Bengaluru, Karnataka, India

JobType

full-time

About the job

Info This job is sourced from a job board

About the role

Pharm-Olam, LLC

Website: allucent.com
Job details:

We are searching for a skilled Data Developer to join our talented team. As an Data Developer, you will be responsible for Design and implement end-to-end data pipelines using Azure Databricks, Azure Data Factory. This role is crucial for ensuring seamless data flow and interoperability within our technological ecosystem.

At Allucent™, we are committed to supporting small to medium biopharmaceutical companies in navigating the intricate landscape of clinical trials, enabling the delivery of life-changing therapies to patients globally.

Key Responsibilities:

  • Design and implement end-to-end data pipelines using Azure Databricks, Azure Data Factory, and ADLS Gen2. 
  • Build scalable and performant data models for data lakes (Medallion architecture), data warehouses, and operational systems. 
  • Develop ELT/ETL frameworks for ingestion from APIs, relational sources, flat files, and third-party systems (e.g., Dynamics 365, Veeva, EDC). 
  • Optimize data transformations, partitioning, and delta lake performance for analytics workloads. 
  • Leverage Python and PySpark for data ingestion, cleansing, enrichment, and advanced transformations. 
  • Implement CI/CD pipelines for data workflows using Azure DevOps and Git, including automated testing, deployment, and monitoring. 
  • Develop and integrate RESTful APIs for cross-system data exchange and automation. 

Requirements

Qualifications and Requirements:

  • Minimum of 5 years of experience as a Data Developer or in a similar data-focused role.
  • PExpert-level in Databricks, PySpark, SQL, and Azure DevOps 
  • Data engineering: Data modeling, Delta Lake optimization, ETL/ELT design, distributed processing. 
  • Integration & Automation: Azure Data Factory, REST APIs, CI/CD pipelines, Git branching strategies. 
  • Analytics & BI: Power BI (Tableau), semantic layer design, DAX/SQL tuning. 
  • Cloud & DevOps: Azure ecosystem (ADF, ADLS, Azure SQL, Synapse), Infrastructure as Code 
  • Data Governance & Quality: Metadata management, data validation frameworks, logging and monitoring.

Ready to bring your IT experience to meaningful research and Allucent, apply today or reach out to Monica Grace, monica.grace@allucent.com

Benefits

Benefits of working at Allucent include:

  • Comprehensive benefits package per location
  • Competitive salaries per location
  • Departmental Study/Training Budget for furthering professional development
  • Flexible Working hours (within reason)
  • Leadership and mentoring opportunities
  • Participation in our enriching Buddy Program as a new or existing employee
  • Internal growth opportunities and career progression
  • Financially rewarding internal employee referral program
  • Access to online soft-skills and technical training via GoodHabitz and internal platforms
  • Eligibility for our Spot Bonus Award Program in recognition of going above and beyond on projects
  • Eligibility for our Loyalty Award Program in recognition of loyalty and commitment of longstanding employees

Disclaimers:

*Our in-office work policy encourages a dynamic work environment, prescribing 2 days in office per week for employees within reasonable distance from one of our global offices.

"The Allucent Talent Acquisition team manages the recruitment and employment process for Allucent (US) LLC and its affiliates (collectively "Allucent"). Allucent does not accept unsolicited resumes from third-party recruiters or uninvited requests for collaboration on any of our open roles. Unsolicited resumes sent to Allucent employees will not obligate Allucent to the future employment of those individuals or potential remuneration to any third-party recruitment agency. Candidates should never be submitted directly to our hiring managers, employees, or human resources."

Click on Apply to know more.

Skills

Tableau
Python
Power BI
automated testing
Azure
clinical trials
data ingestion
data modeling
data models
Databricks
DevOps
end-to-end
ETL
Git
metadata management
SQL
REST APIs