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Data Engineer (AWS + Databricks)

Data Engineer (AWS + Databricks)

eTeam Inc
4-8 Years
Not Disclosed
Quick Apply
  • Posted a month ago
  • Over 100 applicants have applied

Job Description

Position: Data Engineer (AWS + Databricks)

Location: Singapore

Experience: 4 to 8 Years

Key Skills Required

  • Strong hands-on experience with Databricks
  • Expertise in PySpark and Spark SQL
  • Good experience with AWS Cloud Services, including:
  • S3
  • Glue
  • Lambda
  • Redshift
  • Athena
  • IAM
  • Experience with Delta Lake and Lakehouse Architecture
  • Strong SQL and Data Modeling skills
  • Experience designing and developing scalable ETL/ELT pipelines
  • Knowledge of CI/CD, Git, and cloud-based data engineering best practices

Responsibilities

  • Design, build, and optimize scalable data pipelines using AWS and Databricks.
  • Develop ETL/ELT workflows for processing large-scale data.
  • Implement and maintain Delta Lake/Lakehouse solutions.
  • Collaborate with business and technical stakeholders to deliver data solutions.
  • Monitor, troubleshoot, and optimize data processing workloads.

Preferred Certifications

  • AWS Certified Data Engineer / Solutions Architect

Databricks Certified Data Engineer

More Info

Job Type:
Function:
Employment Type:

Key Skills

AWS Data Engineer

Data Pipelines

Scalable Data Pipelines

Delta Lake

Lakehouse Architecture

Amazon Athena

Cloud Data Engineering

Data Lakehouse

Workflow Orchestration

Real-Time Data Processing

CI/CD

AWS Certified Data Engineer

AWS Certified Solutions Architect

Databricks Certified Data Engineer

Data Platform

Data Optimization

About Company

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