
Senior Data Engineering Specialist
2 days ago
Job Summary
We are seeking a highly skilled Data Engineer to join our organization. As a key member of the team, you will be responsible for designing, developing, and maintaining large-scale data systems using Snowflake, AWS Glue, Kafka, and API.
Key Responsibilities:
- Design and develop complex data pipelines using Snowflake, AWS Glue, and Kafka
- Develop and maintain high-performance data warehouses and data lakes using various technologies
- Collaborate with cross-functional teams to identify business requirements and design data solutions that meet organizational goals
- Work closely with engineers to implement data-driven initiatives and ensure seamless integration with existing systems
- Perform rigorous data quality checks to ensure accuracy, integrity, and consistency
Required Skills and Qualifications:
- 8+ years of experience in Data Engineering or related fields
- Hands-on expertise in Snowflake (data modeling, performance tuning, query optimization)
- Strong knowledge of AWS Glue for ETL job development, orchestration, and optimization
- Proficiency in AWS services such as S3, Lambda, Redshift, Athena, Step Functions, Kinesis, and CloudWatch
- Advanced programming skills in Python and/or PySpark
- Strong understanding of SQL and experience with performance tuning for large datasets
- Experience with data warehouse and data lake architectures
- Familiarity with CI/CD pipelines and infrastructure-as-code tools (Terraform, CloudFormation)
Benefits:
- AWS Certified Solutions Architect / Data Analytics Specialty certification
- Experience integrating Snowflake with third-party tools like Tableau or Power BI
- Experience with streaming data ingestion using Kinesis or Kafka
- Familiarity with containerization (Docker, ECS, EKS)
Others:
- Continuous learning and professional growth opportunities
- Collaborative and dynamic work environment
- Competitive compensation and benefits package
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