
Senior Big Data Architect
24 hours ago
Data Engineering Expert
We are seeking a seasoned professional with expertise in designing and implementing scalable data pipelines using cloud services and Databricks. The ideal candidate will build, optimize, and maintain high-performance workflows, manage big data environments, and ensure seamless data availability for analytics, AI/ML, and business intelligence use cases.
- Design, develop, and maintain data pipelines and workflows utilizing AWS (S3, Redshift, Glue, EMR, Lambda, Kinesis, Athena) and Databricks.
- Build and optimize ETL/ELT processes for large-scale structured and unstructured datasets.
- Leverage Databricks for engineering, advanced analytics, and machine learning workloads.
- Collaborate with scientists, analysts, and stakeholders to deliver reliable and scalable data solutions.
- Implement governance, quality checks, and monitoring frameworks.
- Ensure high availability, scalability, and cost-effectiveness of data solutions.
Required Skills:
- At least 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 transformation and querying.
- Strong understanding of warehousing, modeling, and big data frameworks.
- Experience with workflow orchestration tools (Airflow, Step Functions).
PREFERRED QUALIFICATIONS:
- 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 security, compliance, and governance practices.
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