
Data Engineering Specialist
2 days ago
Job Title:
Data Engineering Specialist
As a senior data engineer, you will be responsible for designing and implementing scalable, high-performance data pipelines using AWS cloud services and Databricks.
Key Responsibilities:
- Develop and maintain data pipelines and workflows using 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 data engineering, advanced analytics, and machine learning workloads.
- Collaborate with data scientists, analysts, and stakeholders to deliver reliable and scalable data solutions.
- Implement data governance, quality checks, and monitoring frameworks.
- Ensure high availability, scalability, and cost-effectiveness of data solutions.
Requirements:
- 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).
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 data security, compliance, and governance practices.
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