
High-Performance Data Solutions Specialist
1 week ago
Senior Data Engineer
DescriptionWe are seeking a seasoned data engineer with extensive expertise in cloud-based services and data processing platforms to design and implement scalable, high-performance data pipelines. The role involves developing and optimizing data workflows, managing large-scale data environments, and ensuring seamless data availability for analytics, AI/ML, and business intelligence use cases.
Required Skills and Qualifications- Technical Expertise
- 7+ years of experience in data engineering
- Strong hands-on experience with AWS cloud services (S3, Redshift, Glue, EMR, Athena, Lambda, Kinesis)
- Expertise in Databricks (PySpark, Delta Lake, ML pipelines)
- Proficiency in Python and SQL for data transformation and querying
- Strong understanding of data warehousing, data modeling, and big data frameworks
- Experience with workflow orchestration tools (Airflow, Step Functions)
- Additive Strengths
- Familiarity with MLOps/ML integration within Databricks
- Experience with real-time/streaming data (Kafka, Spark Streaming)
- Knowledge of infrastructure as code (Terraform/CloudFormation)
- Exposure to data security, compliance, and governance practices
- Design and develop scalable data pipelines using AWS and Databricks
- Build and optimize ETL/ELT processes for structured and unstructured datasets
- Leverage Databricks for data engineering and advanced analytics workloads
- Collaborate with stakeholders to deliver reliable data solutions
- Implement data governance and monitoring frameworks
- Ensure high availability, scalability, and cost-effectiveness of data solutions
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