Our client is a rapidly growing, automation-led service provider specializing in IT, business process outsourcing (BPO), and consulting services. With a strong focus on digital transformation, cloud solutions, and AI-driven automation, they help businesses optimize operations and enhance customer experiences. Backed by a global workforce of over 32,000 employees, our client fosters a culture of innovation, collaboration, and continuous learning, making it an exciting environment for professionals looking to advance their careers.
Committed to excellence, our client serves 31 Fortune 500 companies across industries such as financial services, healthcare, and manufacturing. Their approach is driven by the Automate Everything, Cloudify Everything, and Transform Customer Experiences strategy, ensuring they stay ahead in an evolving digital landscape.
As a company that values growth and professional development, our client offers global career opportunities, a dynamic work environment, and exposure to high-impact projects. With 54 offices worldwide and a presence in 39 delivery centers across 28 countries, employees benefit from an international network of expertise and innovation. Their commitment to a 'customer success, first and always' philosophy ensures a rewarding and forward-thinking workplace for driven professionals.
We are currently searching for a
Azure Data Engineer :
Responsibilities:
Design and implement data pipelines
with
Azure Data Factory (ADF)
for ingestion, transformation, and orchestration.
Develop and optimize SQL/T-SQL queries and stored procedures
for data processing.
Build scalable solutions in Azure Synapse Analytics
(data modeling, partitioning, performance tuning).
Implement and support data lake and warehouse architectures
using
ADLS Gen2 and Synapse.
Ensure data quality, security, and governance
with best practices.
Monitor, debug, and optimize ETL pipelines
for performance and reliability.
Automate data transformation and scheduling processes.
Contribute to CI/CD pipelines
and Dev Ops practices.
Collaborate with architects, BI developers, and stakeholders to deliver high-quality solutions.
Requirements:
5+ years in data engineering , including
2–3 years on Azure.
Hands-on experience with ADF, Azure Synapse Analytics, and Azure SQL Database.
Strong SQL/T-SQL proficiency
and
performance tuning skills.
Knowledge of ADLS Gen2, data modeling, and data warehouse concepts.
Experience integrating multiple data sources
(REST APIs, DBs, flat files).
Familiarity with CI/CD, Git, and agile methodologies.
Understanding of data security, privacy, and governance.
Desired:
Experience with
Power BI, Azure Databricks, or Python.
Languages
Advanced Oral English.
Native Spanish.
Note:
Fully remote.
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Keywords:
Azure Data Engineer, ADF, Azure Data Factory, Azure Synapse Analytics, Azure SQL
Requirements:
5+ years in data engineering , including
2–3 years on Azure.
Hands-on experience with ADF, Azure Synapse Analytics, and Azure SQL Database.
Strong SQL/T-SQL proficiency
and
performance tuning skills.
Knowledge of ADLS Gen2, data modeling, and data warehouse concepts.
Experience integrating multiple data sources
(REST APIs, DBs, flat files).
Familiarity with CI/CD, Git, and agile methodologies.
Understanding of data security, privacy, and governance.
