Position Overview
We are seeking 3 talented Cloud Data Platform Engineers to design, build, and maintain scalable cloud-based data infrastructure. In this role, you will work closely with data scientists, analysts, and software engineers to deliver robust data pipelines, storage solutions, and platform services that enable data-driven decision-making across the organization.
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or related field
- 3+ years of experience in cloud data engineering or data platform roles
- Hands-on experience with at least one major cloud provider: AWS, Azure, or Google Cloud Platform
- Strong proficiency in SQL and at least one scripting language (Python, Bash, or Scala)
- Experience designing and implementing data pipelines and ETL/ELT workflows
Key Responsibilities
- Design, develop, and maintain scalable cloud data infrastructure and data pipelines
- Build and optimize data ingestion frameworks for batch and real-time streaming workloads
- Collaborate with data scientists and analysts to understand data requirements and deliver solutions
- Implement data quality, monitoring, and observability practices across the platform
- Manage and optimize cloud data warehouses (e.g., Snowflake, BigQuery, Redshift)
- Ensure data security, governance, and compliance standards are met
- Document architecture decisions and maintain platform runbooks
Required Technical Skills
- Cloud Platforms: AWS (S3, Glue, Redshift, Lambda), Azure (Data Factory, Synapse), or GCP (BigQuery, Dataflow)
- Data Orchestration: Apache Airflow, Prefect, or Azure Data Factory
- Big Data Technologies: Apache Spark, Kafka, or Databricks
- Data Warehousing: Snowflake, BigQuery, or Amazon Redshift
- Infrastructure as Code: Terraform, CloudFormation, or Bicep
- Version Control: Git/GitHub or GitLab
- Containerization: Docker and Kubernetes basics
Preferred Qualifications
- Master’s degree in Computer Science, Data Engineering, or a related technical field
- Cloud certifications: AWS Certified Data Analytics, Google Professional Data Engineer, or Azure Data Engineer Associate
- Experience with dbt (data build tool) for analytics engineering
- Familiarity with DataOps or MLOps practices
- Experience working in Agile/Scrum environments
Soft Skills
- Strong analytical and problem-solving mindset with attention to detail
- Excellent written and verbal communication skills to collaborate with technical and non-technical stakeholders
- Ability to manage multiple priorities and deliver in a fast-paced environment
- Team-oriented with a proactive approach to continuous improvement
- Self-motivated with a passion for data and emerging cloud technologies
To apply for this job email your details to mahesht@smacforce.com