Offer summary

Qualifications:

Bachelor's degree in Computer Science, Information Technology, or related field., At least 3 years of experience in data engineering roles., Hands-on expertise with SQL Server Integration Services (SSIS), Azure Data Factory, and Azure Data Lake., Knowledge of data modeling, ETL processes, and cloud-based data solutions..

Key responsibilities:

Design and develop ETL/ELT pipelines using Azure tools and SSIS.

Manage and optimize data storage in Azure Data Lake and related services.

Collaborate with stakeholders to understand data requirements and deliver solutions.

Monitor, troubleshoot, and improve data pipelines to ensure data quality and security.

Job description

Remote Employee BPO has an outstanding opportunity for you!

Role: Data Engineer

Compensation: Competitive Basic Salary

Benefits: HMO plus 2 Free Dependents, P1,500 Rice Allowance, and Night Differential

Work Schedule: 5-day work week, Monday to Friday, 10:00 p.m. to 7:00 a.m. Philippine Time

Work Setup: Work-from-Home

We are seeking a skilled and motivated Data Engineer with hands-on experience in ETL development, Azure Data Factory (ADF), Azure Data Lake, and SQL Server Integration Services (SSIS). The ideal candidate will have hands-on experience in designing, building, working with cloud-based solutions, and maintaining scalable data pipelines that support advanced analytics, reporting, and business intelligence initiatives.

Key Responsibilities:

Design and implement robust ETL/ELT pipelines using SSIS, ADF, and other Azure-based tools.
Ingest, clean, transform, and validate large volumes of structured and semi-structured data.
Manage and optimize data storage solutions within Azure Data Lake and other Azure services.
Collaborate with data analysts, data scientists, and business stakeholders to understand requirements and deliver high-quality data solutions.
Monitor, troubleshoot, and improve data pipelines to ensure data integrity and performance.
Ensure security, privacy, and compliance with relevant data governance policies.
Document technical solutions, data flows, and ETL processes for maintainability and transparency.

Preferred Qualifications:

Microsoft Azure certifications (e.g., DP-203: Data Engineering on Microsoft Azure).
Experience with Python, PySpark in a data engineering context.
Exposure to CI/CD practices in data pipeline development.
Experience with Delta Lake and data lakehouse architecture.
Knowledge of data modeling concepts and tools (e.g., star/snowflake schema).
Familiarity with other Azure services such as Azure Synapse, Azure Functions, or Logic Apps.

Required Skills and Experience:

3+ years of experience in Data Engineering or related role.
Strong hands-on experience with:
- SQL Server Integration Services (SSIS)
- Azure Data Factory (ADF)
- Azure Data Lake (Gen1/Gen2)
- ETL processes and frameworks
Proficiency in writing complex SQL queries and performance tuning.
Experience working with large-scale data platforms and cloud-based data ecosystems.
Strong understanding of data modeling, ETL best practices, and data warehousing concepts.
Familiarity with version control systems like Git.
Excellent problem-solving skills and attention to detail.
Strong communication and collaboration skills.