Databricks Data Engineer

8000 Accenture Inc Company; Cebu City; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

Accenture is hiring for a Data Engineer to design, build, and maintain data solutions that generate, collect, and process data. You will develop scalable ETL/ELT pipelines using Databricks, Delta Lake, and PySpark, while ensuring data quality and security across multiple cloud environments.

Required skills include Python programming, Databricks tooling, and experience with Unity Catalog, Delta Sharing, and BI tool integrations.

Qualifications

• Develop high-quality, scalable ETL/ELT pipelines using Databricks technologies and Delta Lake
• Strong Python programming and debugging skills
• Hands-on experience with PySpark data transformations and validation logic
• Proficiency in at least one cloud platform: AWS, GCP, or Azure
• Create modular dbx functions for transformation, masking, and validation across pipelines
• Implement ingestion patterns with Auto Loader and schema evolution for structured data
• Build secure and observable DLT pipelines with Delta Sharing and lineage tracking
• Configure Unity Catalog for catalogs, schemas, masking and audit logging
• Enable secure data access across domains and workspaces via Unity Catalog External Locations
• Experience with data sharing, BI tool integration and KPI dashboards in Databricks

Responsibilities

• Develop ETL/ELT pipelines using modern Databricks tooling
• Write clean Python code with robust debugging
• Implement PySpark transformations and data quality checks
• Work with AWS/GCP/Azure cloud platforms for data solutions
• Create reusable dbx functions for transformations and masking
• Manage data ingestion with Auto Loader and schema evolution
• Build DLT pipelines with Delta sharing and lineage
• Configure Unity Catalog for security and masking
• Enable cross-domain data access via Unity Catalog features
• Integrate Databricks with BI tools and build KPI dashboards

Skills

Python

Databricks

PySpark

Cloud platforms (AWS/GCP/Azure)

SQL

Data modeling

Education

Bachelor's degree in Computer Science or related field

Tools

Databricks

dbt

Informatica

Talend

Matillion

Fivetran

Power BI

Tableau

Looker

Job description

Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems.

Key Responsibilities

• Develop high-quality, scalable ETL/ELT pipelines using Databricks technologies including Delta Lake, Auto Loader, and DLT
• Excellent programming and debugging skills in Python
• Strong hands‑on experience with PySpark to build efficient data transformation and validation logic
• Must be proficient in at least one cloud platform: AWS, GCP, or Azure
• Create modular dbx functions for transformation, PII masking, and validation logic — reusable across DLT and notebook pipelines
• Implement ingestion patterns using Auto Loader with checkpointing and schema evolution for structured and semi‑structured data
• Build secure and observable DLT pipelines with DLT Expectations, supporting Bronze/Silver/Gold medallion layering
• Configure Unity Catalog: set up catalogs, schemas, user/group access, enable audit logging, and define masking for PII fields
• Enable secure data access across domains and workspaces via Unity Catalog External Locations, Volumes, and lineage tracking
• Access and utilize data assets from the Databricks Marketplace to support enrichment, model training, or benchmarking
• Collaborate with data sharing stakeholders to implement Delta Sharing — both internally and externally
• Integrate Power BI/Tableau/Looker with Databricks using optimized connectors (ODBC/JDBC) and Unity Catalog security controls
• Build stakeholder‑facing SQL Dashboards within Databricks to monitor KPIs, data pipeline health, and operational SLAs
• Prepare GenAI‑compatible datasets: manage vector embeddings, index with Databricks Vector Search, and use Feature Store with MLflow
• Package and deploy pipelines using Databricks Asset Bundles through CI/CD pipelines in GitHub or GitLab
• Troubleshoot, tune, and optimize jobs using Photon engine and serverless compute, ensuring cost efficiency and SLA reliability.
• At least 2 years of relevant work experience with cloud‑based services relevant to data engineering, data storage, data processing, data warehousing, real‑time streaming, and serverless computing
• Hands on Experience in applying Performance optimization techniques
• Understanding data modeling and data warehousing principles is essential

Good to have

• Certifications: Databricks Certified Professional or similar certifications.
• Machine Learning: Knowledge of machine learning concepts and experience with popular ML libraries
• Knowledge of big data processing (e.g., Spark, Hadoop, Hive,Kafka)
• Data Orchestration: Apache Airflow
• Knowledge of CI/CD pipelines and DevOps practices in a cloud environment.
• Experience with ETL tools like Informatica, Talend, Matillion, or Fivetran.
• Familiarity with dbt (Data Build Tool)

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation‑led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

Join us

Bring your incredible skills and join our global team of innovators. We come together from different backgrounds across the world and work with the latest technologies to create value and growth for our clients. With us, you’ll continue to learn and grow so you can advance in your career. Your personal dreams and ambitions are just as important to us; that’s why we offer support any way we can—when you thrive, we all thrive. Explore your next step at Accenture Belong. Grow. Thrive. Join a great place to work for reinventors who drive meaningful change for our clients, communities, and the world. Wo rld. Explore your next step at Accenture