Databricks Unified Data Analytics Platform Engineer

JOB TITLE: Databricks Unified Data Analytics Platform Engineer

WORK SET UP: Onsite in Cebu City

WORK SHIFT: Shifting

SALARY: 40K to 64K

Summary:

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.

Cognitive Engineering:

Responsibilities:

• Develop high-quality, scalable ETL/ELT pipelines using Databricks technologies including Delta Lake, Auto Loader, and DLT.

• 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.

QUALIFICATIONS:

• Minimum 2 year(s) of relevant experience is required

• 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.

• 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.

• Open for those applicants who are currently in the Philippines and already have the right to live and work in this country are eligible for this role

Good to Have:

1. Certifications: Databricks Certified Professional or similar certifications.

2. Machine Learning: Knowledge of machine learning concepts and experience with popular ML libraries.

3. Knowledge of big data processing (e.g., Spark, Hadoop, Hive,Kafka)

4. Data Orchestration: Apache Airflow.

5. Knowledge of CI/CD pipelines and DevOps practices in a cloud environment.

6. Experience with ETL tools like Informatica, Talend, Matillion, or Fivetran.

7. Familiarity with dbt (Data Build Tool)

PRE-SCREENING QUESTIONS:

1. How many years of work experience do you have in Databricks?

2. How many years of experience do you have with cloud-based services relevant to data engineering, data storage, data processing, data warehousing, real-time streaming, and serverless computing?

3. Rate your experience in hands-on experience in applying Performance optimization techniques, from 1 to 10, 10 being the highest.

4. Rate your proficiency in programming and debugging skills in Python, from 1 to 10, 10 being the highest.

5. Rate your proficiency with PySpark, from 1 to 10, 10 being the highest.

6. Which of these Cloud platforms are you proficient? AWS, GCP, or Azure.

7. How much is your last drawn salary?

8. How much is your salary expectation?

9. Are you amenable to working onsite in Cebu with a shifting schedule?

10. When are you available to start once hired?