Sourcefit is an international BPO company dedicated to helping businesses scale and win. Our approach is simple: get great staff, build a process to last. With locations in the Philippines, Dominican Republic, South Africa, Madagascar, and Armenia, we offer scalable, award-winning offshore staffing and fully-managed outsourcing solutions for customer service, IT, trust and safety, healthcare revenue cycle, accounting, back office, construction, digital marketing, and more. Since 2009 we have helped clients ranging from start-ups to Fortune 500 firms to build enduring value through their outsourced teams. Our 2,000+ employees are committed to delivering close, personal service, while also leveraging the latest technologies, such as AI and Machine Learning, and the most cost-efficient processes. We take great pride in our highly-recognized workplace culture, as well as our transparency, client-friendly business terms, and adherence to the most stringent international standards for data security and privacy, including ISO27001, ISO27701, ISO 9001, SOC2, PCI-DSS and more. With Sourcefit, begin risk-free as you leverage global talent. Contact us here or visit sourcefit.com to get started.

Job description

Position Summary:

We are seeking a highly skilled and experienced Data Engineer to join our team. The Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines and systems. This role is crucial for assembling complex data sets, improving internal processes through automation, and optimizing data infrastructure for scalability and efficiency. The ideal candidate will work closely with data scientists, analysts, and other stakeholders to support data analytics, business intelligence, and AI initiatives, ensuring high data quality and integrity throughout the organization.

Job Details:

Monday to Friday | Night Shift
Work from home

Responsibilities:

Design, develop, and maintain scalable data pipelines and systems.
Assemble large, complex data sets that meet functional and non-functional business requirements.
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, and re-designing infrastructure for greater scalability.
Build the infrastructure required for optimal extraction, transformation, and loading (ETL) of data from various data sources using SQL and Azure technologies.
Develop and maintain data architecture and systems to support data analytics, business intelligence, and AI initiatives.
Collaborate with data scientists, analysts, and other stakeholders to assist with data-related technical issues and support their data infrastructure needs.
Ensure data quality and integrity by performing data cleaning, validation, and analysis.
Monitor and troubleshoot data pipeline performance and reliability.

Requirements:

Bachelor’s degree in Computer Science, Engineering, or a related field.
Proven experience as a Data Engineer or in a similar role.
Strong knowledge of SQL and experience with relational databases (e.g., MySQL, PostgreSQL).
Experience with big data tools and frameworks (e.g., Hadoop, Spark, Kafka).
Proficiency in programming languages such as Python, Java, or Scala.
Extensive experience with Azure cloud services, including Azure Data Factory, Azure Databricks, and Azure Synapse Analytics.
Familiarity with data warehousing solutions, particularly Microsoft Fabric.
Strong problem-solving skills and attention to detail.
Excellent communication and collaboration skills.
Experience in data analytics and AI, including data visualization, statistical analysis, predictive modeling, and machine learning.

Required profile