Data Platform Architect
2 weeks ago
Key Responsibilities:
- Design, develop, and maintain scalable, secure, and high-performing data platforms to support business growth and innovation.
- Develop efficient and adaptable data pipelines that process large datasets in real-time, utilizing cloud-based technologies and streaming platforms like Kafka, AWS MSK, Kinesis, and Snowpipe.
- Integrate and maintain various data sources, including databases, APIs, SaaS platforms, files, logs, and events, to provide a single source of truth for business insights.
- Engineer ETL pipelines that leverage delta loading and change data capture (CDC) in Snowflake, ensuring data consistency and accuracy.
- Create standardized datasets that meet diverse use case requirements, utilizing data modeling and schema design best practices.
- Collaborate with cross-functional teams to ensure seamless product integration with the data platform, driving business outcomes and customer satisfaction.
- Ensure data quality by implementing automated quality control measures and resolving data issues proactively.
Required Qualifications:
- 5+ years of experience as a Data Engineer or Scientist, with strong expertise in cloud infrastructure, CloudOps, and IaC tools like Terraform and Pulumi.
- Proficiency in data warehouse technologies, such as Snowflake and AWS Redshift, and AWS data pipelines, including Lambda, Glue, and Step Functions.
- Expertise in Star/Snowflake schema design, data modeling, and MLOps, with a strong understanding of data analysis tools like Looker and Tableau, and libraries like Pandas, Numpy, and Scikit-learn.
- Familiarity with Git, GitHub, and JIRA, with a focus on collaboration and version control.
Preferred Skills:
- Cloud/PaaS Technologies: Kafka, AWS MSK, Kinesis, Snowpipe, AWS Lambda.
- Infrastructure as Code (IaC): Terraform, Pulumi.
- Data Modeling & Pipelines: Snowflake schema, ETL, CDC, AWS Glue.
- Programming & Scripting: Proficiency in Python, Java, and working knowledge of SQL.
- Data Analysis & Visualization: Experience with Looker, Tableau, Pandas, Numpy.
- Version Control & Collaboration: Familiar with Git, GitHub, and JIRA.
At TechHost Services, we're committed to innovation and excellence in data engineering. If you're passionate about building scalable data platforms and driving business insights, we want to hear from you
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