
Lead Data Engineer
StaffbeesContract
Required Skillset:
PythonAzureSnowflakeApache SparkRedshiftKafkaHadoop EcosystemAirflowSQLAWSGCPCI/CDDevOpsETLPySparkBigQueryELT
Job Description
Lead Data Engineer
Location: Oregon
Employment Type: C2C
Experience Required: 8–10 Years
Visa: H1B Transfers Not Accepted / Independent Visa Preferred
Job Description
We are seeking a highly skilled Lead Data Engineer with strong expertise in designing, building, and optimizing scalable data pipelines and cloud-based data platforms. The ideal candidate should have experience leading data engineering initiatives and working with large-scale enterprise data ecosystems.
Required Skills
- 8–10 years of experience in Data Engineering
- Strong expertise in:
- Python / PySpark
- SQL
- ETL/ELT Development
- Data Warehousing Concepts
- Hands-on experience with:
- Apache Spark
- Hadoop Ecosystem
- Kafka
- Airflow
- Cloud platform experience:
- AWS / Azure / GCP
- Experience with:
- Snowflake / Redshift / BigQuery
- Data Lake & Lakehouse Architectures
- CI/CD and DevOps practices
- Strong understanding of data modeling and performance optimization
- Experience leading teams and mentoring junior engineers
Responsibilities
- Design and develop scalable data pipelines and ETL workflows
- Lead data engineering projects and architecture discussions
- Build and optimize cloud-based data solutions
- Ensure data quality, governance, and security standards
- Collaborate with data analysts, data scientists, and business stakeholders
- Troubleshoot and optimize large-scale data processing systems
- Support deployment, monitoring, and maintenance activities
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