Referso Jobs

Databricks Apps UI Developer

i4DM · Posted Oct 5, 2026

Open

Remote
Remote
3+ years

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Databricks Apps UI Developer

i4DM · Posted Oct 5, 2026

Open

Remote
Remote
3+ years

Apply with Referso

Principal Data Engineer

GSK · Posted Nov 9, 2026

Open

Bengaluru, Karnataka, India
Principal
5+ years

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Lead key activities to progress the data foundation by building and maintaining scalable data pipelines, creating data products for AI and analytics, and ensuring data accuracy and trust.

Responsibilities

Design, build, and run scalable, production-grade data pipelines that collect, clean, transform, and deliver data.
Build reusable datasets, feature tables, and retrieval infrastructure (vector databases) for dashboards, models, and AI applications.
Define clear data contracts for consistent, quality-checked inputs.
Implement data quality checks, validation rules, monitoring, and alerting.
Track data lineage for audit readiness.

Requirements

Nice to have: LLM-based automation
Nice to have: AI agents
Nice to have: Databricks Genie

Skills

SQL Python PySpark Azure Databricks Delta tables Unity Catalog Databricks Workflows

Sr Data Engineer

Bridgenext, Inc · Posted Nov 6, 2026

Open

Senior

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Senior Data Engineer responsible for building and maintaining the data infrastructure to support business insights across the organization.

Responsibilities

Develop and maintain data pipelines using MS Fabric
Implement transformations using notebooks (Python, pyspark, sql)
Experience with medallion data architecture
Experience building a data lakehouse (data lake + delta tables)
Work with various data sources, including CSVs, APIs, and automated activities

Requirements

Nice to have: Familiarity with Delta tables
Nice to have: Understanding of data partitioning
Nice to have: Experience with Azure DevOps or GitHub
Nice to have: Previous experience working with data volumes in the range of gigabytes to terabytes

Skills

Strong knowledge of the Microsoft stack Experience with Microsoft Fabric Experience with SQL Familiarity with Python Understanding of ETL processes Experience with data warehousing concepts Ability to work with various data formats such as CSVs and APIs Basic understanding of Power BI Ability to work hands-on and solve problems independently Microsoft Fabric Delta Tables SQL Power BI

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Sr. Azure Data Lead

Cognizant · Posted Nov 8, 2026

Open

Toronto, Ontario, Canada
Hybrid
Full-time · Senior
$80K–$140K per year

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Lead Azure Data architecture and engineering, coordinating offshore developers and ensuring delivery of data solutions on Azure Databricks platform

Compensation

The base salary for this position ranges between $80000– $140000 per year. This position is also eligible for Cognizant’s discretionary annual performance-based bonus, as well as benefits that support your physical, mental and financial wellbeing

Responsibilities

Work as Azure Data Architect and engineer
Attend daily stand ups/scrum calls/quarterly PI
Collaborate with BSA and product team to understand project requirements
Create technical specification and source-to-target design mapping documents
Write or understand Java/Pyspark code on Databricks platform, perform unit testing and work with QA & Business testers for defect resolution

Skills

Azure Databricks Medallion Architecture Delta tables Synapse data partitioning on Azure cloud Java Pyspark

Architect, Data Science

Lovelytics · Posted Jul 30, 2026

Open

Remote, United States +2 more
Remote
$140K–$210K per year
7+ years

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Lead technical strategy, design end-to-end ML pipelines, and drive pre‑sales engagements for enterprise‑grade machine learning solutions on Databricks.

Locations (3)

Arlington, Virginia, United States
Chicago, Illinois, United States
United States

Compensation

The base salary range for this position for candidates based in the US is $140,000-210,000 per year.

Responsibilities

Define business‑value metrics and technical performance targets
Lead technical scoping, feasibility assessments and solution design
Design scalable, secure and maintainable end‑to‑end ML pipelines
Direct cross‑functional delivery teams of Data Scientists, Data Engineers and ML Engineers
Establish code quality standards, model validation protocols and technical best practices

Senior Data Engineer

wissen · Posted Nov 6, 2026

Open

Bangalore, Karnataka, India
Hybrid
Senior
8–10 years

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The role focuses on building and maintaining scalable cloud-based data platforms, including product development, analytics enablement, data pipeline automation, and platform optimization using Azure data technologies for enterprise-grade solutions.

Responsibilities

Design, develop, and maintain scalable data pipelines using Azure Databricks, PySpark, and Azure Data Factory
Partner with data architects to support the full data lifecycle including acquisition, cleansing, integration, analytics, and visualization
Build and optimize Delta Tables and Azure Data Lake solutions for enterprise data platforms
Develop automated data processing services, APIs, and analytics products
Implement data governance and security controls using Unity Catalog

Requirements

BE in Computer Science
Engineering
Information Technology
Nice to have: Serverless Compute architecture on Azure
Nice to have: Data visualization and analytics product development

Skills

Azure Databricks Azure Data Factory PySpark Azure Data Lake Azure Synapse Analytics

Senior Data Engineer

icrc · Posted Nov 5, 2026

Open

Geneva, Geneva, Switzerland
Full-time · Senior
6+ years

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Design, develop and maintain data pipeline solutions, advanced analytics applications and cloud-based data services to support ICRC’s humanitarian mission.

Responsibilities

Lead data architecture, engineering standards, code reviews and mentoring
Rapidly move prototypes into production through Git, CI/CD, automated testing, environment promotion, release validation, monitoring and rollback practices
Design, build, test, deploy and operate data pipelines, jobs and reusable ingestion frameworks using Python or ETL solutions
Integrate structured, semi-structured and unstructured data from internal systems, databases, APIs, files, documents, vendor feeds, public sources and event streams
Build resilient, governed integrations, covering secure authentication, pagination, rate-limit handling and retries, schema management, data contracts and lineage, quality controls, observability and recovery procedures

Requirements

Bachelor’s degree in Computer Science, Information Technology or a related field, or equivalent work experience
Nice to have: ITIL
Nice to have: DevOps
Nice to have: Agile certification (e.g. SAFe)
Nice to have: French language

Skills

Python ETL solutions

Data Analyst - Associate

PwC · Posted Nov 5, 2026

Open

Bangalore, Karnataka, India
On-site
Full-time · Associate
3–5 years

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As a Data Analyst - Associate you will analyze client needs, support operational process reviews, and help develop practical solutions that improve productivity, quality, and efficiency within our Operations Consulting practice.

Responsibilities

Analyzing large healthcare operational datasets to identify trends, performance metrics, and financial insights.
Building analytics datasets and data models in Databricks (Delta tables, Silver and Gold layers) using SQL, PySpark, and Python.
Extracting and transforming data using SQL on SQL Server and Databricks SQL
Rebuilding existing SQL-based logic as Databricks datasets and validating results against current outputs.
Supporting data pipelines and ETL/ELT processes that feed analytics and reporting, including data on Amazon S3.

Requirements

BE
BTECH
ME
MTECH
MBA

Skills

SQL PySpark Python Databricks SQL Server Amazon S3

Lead Data Engineer / Data Product Lead – Snowflake

GTT, LLC · Posted Nov 4, 2026

Open

Toronto, Ontario, Canada
Hybrid
Contract
CA$60–CA$80 per hour

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Lead Data Engineer / Data Product Lead – Snowflake

Compensation

Pay Rate: C$60.00–C$80.00 / Hour (CAD)

Responsibilities

Own one or more enterprise data products across architecture, design, development, testing, deployment, and ongoing enhancement.
Design and build scalable data solutions using Databricks, PySpark, Spark SQL, Delta Lake, and Python.
Contribute to architecture across data ingestion, transformation, medallion/lakehouse layers, semantic models, data quality, lineage, and downstream consumption.
Partner with Product Owners, architects, business stakeholders, analytics teams, and engineering leads to translate requirements into scalable technical solutions.
Design reusable and modular data models that support evolving reporting and analytical requirements.

Requirements

Nice to have: pharmaceutical
Nice to have: biotechnology
Nice to have: life sciences environments
Nice to have: commercial data
Nice to have: patient data

Skills

ETL/ELT data modeling lakehouse architecture

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