Data Engineer
2 days ago
Role Overview:
We are looking for a Data Engineer with Databricks and AWS experience. You will build and maintain data solutions, including ETL pipelines, data lakes, and analytics workflows, while ensuring performance, security, and scalability.
Key Responsibilities:
● Build and maintain Databricks Lakehouse solutions using Delta Lake and Spark.
● Develop and optimize ETL/ELT pipelines with Python/Scala and Databricks SQL.
● Integrate Databricks with AWS services (S3, Glue, Lambda, Step Functions).
● Ensure high performance of Spark jobs and large-scale data processing.
● Apply security, governance, and compliance best practices (IAM, Unity Catalog).
● Collaborate with teams in Agile/Scrum environment and participate in code reviews.
● Monitor pipelines, ensure data quality, and maintain reliability.
Qualifications:
● Bachelor's degree in Computer Science, Data Science, Engineering, or equivalent experience.
● 2+ years hands-on experience with Databricks (Spark).
● Experience with AWS (S3, Glue, Lambda) and cloud data platforms.
● Strong Python (PySpark) and SQL skills.
● Knowledge of RDBMS, data modeling, and infrastructure-as-code concepts
Job Type: Full-time
Pay: Php100, Php120,000.00 per month
Application Question(s):
- Would you be comfortable with a hybrid work setup (2x onsite per week) following a day shift schedule?
Experience:
- Databricks: 3 years (Required)
- Python: 3 years (Required)
- SQL: 3 years (Required)
- Data Engineering: 3 years (Required)
Work Location: On the road
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