Senior Data Engineer: Databricks Pipelines & Quality

Accenture in the Philippines; Philippines; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Accenture in the Philippines is seeking a Data Engineer to design, develop, and maintain data solutions for data generation, collection, and processing. You will build efficient data pipelines, ensure data quality, and implement ETL processes to migrate data across systems.

The role emphasizes collaboration with multiple teams to support data-driven decision-making and requires at least 5 years of hands-on experience with Databricks.

Qualifications

• Minimum 5 years of hands-on experience with Databricks Unified Data Analytics Platform.
• Strong data pipeline design and data integration experience.
• Experience with cloud-based data platforms and scalable processing frameworks.
• Proficient in ETL design and data quality validation.

Responsibilities

• SME leadership: collaborate and manage the team to perform.
• Responsible for team decisions.
• Engage with multiple teams and contribute on key decisions.
• Provide solutions to problems for their immediate team and across multiple teams.
• Lead efforts to optimize data workflows and improve system performance.
• Facilitate knowledge sharing and mentoring within the team to foster professional growth.
• Coordinate with stakeholders to align data engineering efforts with organizational goals.

Skills

Databricks Unified Data Analytics_Pl

Data pipeline design

Cloud data platforms

ETL processes

Data quality assurance

Troubleshooting data issues

Tools

Cloud platforms (AWS/GCP/Azure)

Databricks

Job description

Accenture in the Philippines is seeking a Data Engineer to design, develop, and maintain data solutions for data generation, collection, and processing. You will build efficient data pipelines, ensure data quality, and implement ETL processes to migrate data across systems.

The role emphasizes collaboration with multiple teams to support data-driven decision-making and requires at least 5 years of hands-on experience with Databricks.