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Unlock Your Potential as a Senior Data Engineering Leader
2 weeks ago
Job Title: Data Engineering Lead
Description: We are seeking an experienced data engineer to lead the design and implementation of scalable, high-performance data pipelines using AWS cloud services and Databricks.
- Key Responsibilities:
- Design, develop, and maintain data pipelines and workflows using AWS and Databricks.
- Build and optimize ETL/ELT processes for large-scale structured and unstructured datasets.
- Collaborate with data scientists, analysts, and stakeholders to deliver reliable and scalable data solutions.
Required Skills:
- 7+ years of experience in data engineering.
- Strong hands-on experience with AWS cloud services (S3, Redshift, Glue, EMR, Athena, Lambda).
- Expertise in Databricks (PySpark, Delta Lake).
- Proficiency in Python and SQL for data transformation and querying.
- Strong understanding of data warehousing, data modeling, and big data frameworks.
Benefits:
Develop a career in a dynamic and innovative organization that values collaboration and continuous learning.
Preferred Qualifications:
- Familiarity with workflow orchestration tools (Airflow, Step Functions).
- Experience with real-time/streaming data (Kafka, Spark Streaming).
- Knowledge of infrastructure as code (Terraform/CloudFormation).
