Posted:1 day ago|
Platform:
Work from Office
Full Time
Develop and maintain scalable ETL/ELT pipelines using Databricks (PySpark, Delta Lake).
Design and optimize data models in AWS Redshift for performance and scalability.
Manage Redshift clusters and EC2-based deployments, ensuring reliability and cost efficiency.
Integrate data from diverse sources (structured/unstructured) into centralized data platforms.
Implement data quality checks, monitoring, and logging across pipelines.
Collaborate with data scientists, analysts, and business stakeholders to deliver high-quality datasets.
Required Skills & Experience:
36 years of experience in data engineering.
Strong expertise in Databricks (Spark, Delta Lake, notebooks, job orchestration).
Hands-on experience with AWS Redshift (cluster management, performance tuning, workload optimization).
Proficiency with AWS EC2, S3, and related AWS services.
Strong SQL and Python skills.
Experience with CI/CD and version control (Git).
We are seeking a skilled Data Engineer with hands-on experience in Databricks and AWS Redshift (including EC2 deployments) to design, build, and optimize data pipelines that support analytics and business intelligence initiatives.
Infiniti Research
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