Senior Data Engineer

Arbcentrix Corporation; Taguig; Híbrido; PHP 600.000 - 900.000; Tempo integral

Resumo da vaga

Arbcentrix Corporation is hiring a Data Specialist in the Philippines to maintain and optimize data pipelines, ensure data accuracy across systems, and develop BI dashboards that support business intelligence and client experience initiatives.

The role emphasizes strong SQL/ETL skills, hands-on dashboard development, and an analytical mindset to identify trends, anomalies, and opportunities for improvement. Hybrid work setup, located in Bicutan Taguig.

Qualificações

• 5+ years of experience in data analytics, data engineering, BI development, or related field.
• Strong SQL skills for data transformation, validation, and querying.
• Hands-on ETL/ELT, data ingestion, and data modeling experience.
• Proven track record independently developing and maintaining BI dashboards and reports.
• Experience with data cleaning, reconciliation, and quality assurance.
• Analytical thinking, problem solving, and attention to detail.
• Ability to translate findings into actionable insights and collaborate effectively.

Responsabilidades

• Maintain, troubleshoot, and optimize existing data ingestion workflows and pipelines.
• Clean, transform, reconcile, and validate data across multiple systems to ensure accuracy and consistency.
• Write and optimize SQL queries for data extraction, transformation, validation, and analysis.
• Develop and maintain dashboards, reports, and visualizations using Power BI, Tableau, or similar BI platforms.
• Analyze datasets to identify trends, anomalies, performance gaps, and cost-saving opportunities.
• Support the development of new data models and pipelines as business needs evolve.
• Provide Client Experience Managers (CEMs) with accurate reports, dashboards, and analytical insights.
• Document data processes and implement quality checks to improve data reliability.

Conhecimentos

Data analytics

Data engineering

BI development

SQL

ETL/ELT

Data validation

Data modeling

Data visualization

Ferramentas

PostgreSQL

MySQL

SQL Server

Oracle

Azure Data Factory

SSIS

dbt

Power BI

Tableau

Looker

Descrição da vaga

Work Arrangement: Hybrid (4x a week onsite, 1x a week WFH)

Shift Schedule: Nightshift

Location: Bicutan Taguig

Arbcentrix is looking for a Data Specialist to maintain and optimize data pipelines, ensure data accuracy across systems, and develop BI dashboards that support business intelligence and client experience initiatives. The ideal candidate combines strong SQL and ETL skills with hands-on dashboard development experience and an analytical mindset to identify trends, anomalies, and opportunities for improvement.

What You'll Do

• Maintain, troubleshoot, and optimize existing data ingestion workflows and pipelines.

• Clean, transform, reconcile, and validate data across multiple systems to ensure accuracy and consistency.

• Write and optimize SQL queries for data extraction, transformation, validation, and analysis.

• Develop and maintain dashboards, reports, and visualizations using Power BI, Tableau, or similar BI platforms.

• Analyze datasets to identify trends, anomalies, performance gaps, and cost-saving opportunities.

• Support the development of new data models and pipelines as business needs evolve.

• Provide Client Experience Managers (CEMs) with accurate reports, dashboards, and analytical insights.

• Document data processes and implement quality checks to improve data reliability.

What We're Looking For

• 5+ years of relevant experience in data analytics, data engineering, BI development, or a related field.

• Strong SQL skills, including querying, data transformation, and validation.

• Hands-on experience with ETL/ELT processes, data ingestion, and data modeling.

• Proven experience independently developing and maintaining BI dashboards and reports.

• Experience with data cleaning, reconciliation, and quality assurance.

• Strong analytical thinking, problem-solving skills, and attention to detail.

• Ability to identify data discrepancies, investigate anomalies, and translate findings into actionable insights.

• Good communication and collaboration skills.

Required Skills and Tools

• SQL and Databases: PostgreSQL, MySQL, SQL Server, Oracle, or equivalent.

• ETL and Data Integration: Azure Data Factory, SSIS, dbt, or comparable tools.

• BI and Dashboard Development: Power BI, Tableau, Looker, or similar platforms.

• Data Quality: Data validation, reconciliation, data profiling, and accuracy checks.

• Data Modeling: Understanding of relational databases, table relationships, and data structures.

Experience with Python, cloud data platforms, and workflow automation is an advantage. Equivalent tools and technologies are acceptable.

Why Join Us?

• Work on meaningful data and analytics initiatives that support business decisions.

• Develop your technical expertise in data engineering and business intelligence.

• Collaborate with cross-functional teams to improve data processes and reporting capabilities.