Overview
Join our Zendesk team & connect businesses to tools that solve problems - at global scale. we're building more than AI tools - we're building bettercareers. Join Zendesk in Lisbon.
Note: This description includes multiple roles and project descriptions; the core responsibilities, qualifications, and opportunities are retained in the sections below where applicable.
Required Skills & Experience
- 4+ years of data engineering experience - building data warehouses and ETL pipelines
- 3+ years of experience with Snowflake Datawarehouse
- Well versed with data marts
- Strong understanding of SQL including: SSIS, SSAS, & SSRS
- Ability to work MST hours
Nice to Have Skills & Experience
- Experience working within the healthcare industry, provider side highly preferred
- Experience working in an AWS environment
- Experience with big data tools: Hadoop, Spark, Kafka
Job Description (Consolidated)
A healthcare client is looking for Data Engineers to modernize on prem SQL warehouses to Snowflake, support data marts, and maintain data pipelines in an AWS environment. Contract length varies with extensions anticipated.
Overview and responsibilities are described across multiple sections below.
Responsibilities
- Design, build, and maintain ETL/ELT pipelines and data warehouses.
- Lift and shift existing data marts, build net new data marts, and integrate with Snowflake enterprise warehouses.
- Design, test, deploy, and maintain data pipelines; establish a robust data reporting environment.
- Collaborate with DevOps and cloud teams; apply data governance and quality checks.
- Support reporting and analytics teams by delivering clean, structured datasets.
Overview (Azure / Data Engineer – Short-term Contractor)
We are seeking a Data Engineer (short-term contractor) to design and implement data acquisition and ETL processes in Microsoft Azure to support enterprise reporting needs.
You will integrate multiple technical datasets (ServiceNow, PeopleSoft, vendor systems) into a central Azure SQL Database, ensuring cleansed, reliable, and query-ready data for dashboards.
Core Responsibilities
- Build and maintain ETL pipelines in Azure Data Factory (or equivalent) to automate ingestion from APIs, files, and vendor systems.
- Develop and optimize SQL stored procedures, scheduled jobs, and views in Azure SQL Database.
- Apply data governance and quality checks to ensure dataset accuracy and consistency.
- Document sources, transformations, and dependencies; collaborate with SMEs.
- Support Power BI developers by delivering clean datasets.
- (Optional) Utilize Alteryx or similar tools for advanced data transformations.
- Provide knowledge transfer to internal teams for sustainability post-engagement.
Required Skills
- Strong experience with Microsoft Azure (Data Factory, SQL Database, Blob/Data Lake).
- Advanced SQL (stored procedures, scheduled jobs, indexing, views).
- Proven ETL development experience (batch + scheduled pipelines).
- Data governance, lineage, and quality frameworks.
- Familiarity with Power BI data models (not visualization).
- Excellent communication skills for collaboration and mentoring.
Nice-to-Have
- Hands-on experience with Alteryx for data preparation.
- Healthcare IT data exposure (helpful but not required).
Why Join Us?
- Opportunity to work on enterprise-scale reporting systems.
- Fully remote role based out of Brazil (supporting EST/CST hours).
- Short-term but impactful 4–5 month contract with potential extensions.
- Collaborate with skilled professionals on meaningful projects.
Additional Information
Interested? Apply today and help deliver trusted reporting data for enterprise decision-making. Some sections describe opportunities with global IT services providers and client-focused implementations.
Language and Company Context: This description includes content about TCS/Avenue Code/Zartis and related benefits, culture, and opportunities. Formatting may combine multiple roles and employer contexts; the core Data Engineer responsibilities, qualifications, and compensation concepts remain relevant.
What We Offer (Selected Benefits)
- Health insurance
- Life insurance
- Gympass
- Wellbeing resources and mental health support
- Certifications reimbursement and professional development
- International experience opportunities
- Mentoring and career growth programs
Executive and Project Context
Some sections describe executive-level opportunities and large-scale projects, including data modernization for retail/eCommerce platforms and threat intelligence data pipelines. The role described here emphasizes data engineering with AWS/Azure, Python, SQL, and data governance.