
Lead Data Infrastructure Specialist
1 day ago
This position is responsible for designing, building, and maintaining large-scale data systems. A skilled professional will be working closely with stakeholders to understand data requirements and provide data-driven insights.
Key Responsibilities:- Design and implement scalable data pipelines using Apache Spark and cloud-based technologies.
- Develop and maintain complex SQL queries to extract insights from large datasets.
- Collaborate with cross-functional teams to integrate data engineering solutions into business applications.
- Work closely with stakeholders to understand data requirements and provide data-driven insights.
- Continuously improve data quality, performance, and security of data systems.
To succeed in this role, you should have:
- Bachelor's degree in Computer Science or related field.
- 5-8 years of experience in data engineering with a focus on big data technologies.
- Strong hands-on experience with Apache Spark (RDDs, DataFrames, Spark SQL, PySpark).
- Deep understanding of Spark cluster architecture and performance tuning.
- Proficiency in AWS ecosystem: Glue, S3, Lambda, Redshift, CloudWatch.
- Solid expertise in Snowflake: Snowpipe, Streams & Tasks, Time Travel, and data sharing.
- Strong programming skills in Python and SQL.
- Experience with CI/CD tools and infrastructure-as-code (Terraform or CloudFormation).
A competitive salary package, paid in the local currency. Our benefits include comprehensive health insurance and retirement plan opportunities for professional growth and development.
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