
Senior Big Data Specialist
2 weeks ago
Job Title: Senior Big Data Specialist
We are looking for a highly skilled individual to lead the development and maintenance of our data processing systems. The ideal candidate will have extensive experience in designing, building, and optimizing large-scale data architectures using Apache Spark and related technologies.
Main Responsibilities:
- Design and implement data pipelines that integrate with cloud-based data platforms such as AWS and Azure.
- Work closely with cross-functional teams to understand business requirements and develop scalable data solutions.
- Collaborate with data scientists to integrate machine learning models into production-ready data pipelines.
- Maintain high-quality code using Python, SQL, and other relevant programming languages.
- Evaluate and improve data security, integrity, and compliance with industry standards and regulations.
Requirements:
- 6-9 years of experience in data engineering with a focus on distributed systems and big data technologies.
- Strong hands-on experience with Apache Spark (RDDs, DataFrames, Spark SQL, PySpark).
- Proficiency in cloud 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).
Benefits:
This is an excellent opportunity for experienced professionals to take on new challenges and grow within a dynamic organization.
The successful candidate will be rewarded with competitive compensation and benefits package, including opportunities for career growth and professional development.
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