Note: A minimum of 07 years of experience is mandatory.
We are seeking a hands-on Staff Engineer to lead the design, development, and optimization of scalable data platforms using Snowflake, dbt, and AWS.
Key Responsibilities:
- Design and develop scalable data pipelines and cloud-based data platforms.
- Build and maintain data transformation workflows using dbt.
- Develop data models, reusable macros, tests, documentation, and CI/CD processes.
- Optimize Snowflake performance, security, and cost efficiency.
- Use AWS services such as S3, Glue, Lambda, IAM, Kinesis, and Step Functions.
- Implement data quality, governance, monitoring, and security standards.
- Lead technical designs, code reviews, and architecture decisions.
- Mentor engineers and collaborate with cross-functional teams.
- Troubleshoot complex production and performance issues.
Required Qualifications:
- 10+ years of experience in data or software engineering.
- Strong expertise in Snowflake, dbt, AWS, SQL, and Python.
- Experience with data modeling, ETL/ELT pipelines, and cloud architecture.
- Knowledge of CI/CD, Git, DevOps, and Infrastructure as Code.
- Strong technical leadership, communication, and problem-solving skills.
Preferred Qualifications:
- Experience with Airflow, Kafka, Spark, Terraform, or Docker.
- SnowPro or AWS certification.
- Experience with data governance, streaming, and BI platforms.
Technical Skills:
Snowflake | dbt | AWS | SQL | Python | Airflow | Git | CI/CD | Terraform | Data Modeling
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