
Unlock Your Potential as a Senior Data Engineer
2 days ago
We are seeking a Senior Data Engineer to join our team. As a key member of the organization, you will be responsible for designing and developing data pipelines, integrating frameworks, and metadata-driven architectures that enable seamless data access and analytics.
Main Responsibilities:
- Data Pipeline Development: Design, develop, and maintain scalable ETL/ELT pipelines to support structured, semi-structured, and unstructured data processing across the Enterprise Data Fabric.
- Data Integration: Implement real-time and batch data processing solutions, integrating data from multiple sources into a unified, governed data fabric architecture.
- Big Data Optimization: Optimize big data processing frameworks using Apache Spark, Hadoop, or similar distributed computing technologies to ensure high availability and cost efficiency.
- Metadata Management: Work with metadata management and data lineage tracking tools to enable enterprise-wide data discovery and governance.
- Query Performance Tuning: Evaluate query performance, indexing strategies, partitioning, and caching for large-scale data sets.
Required Skills:
- Masters degree in Computer Science, IT or related field with 4-6 years of experience or Bachelors degree with 6-8 years of experience.
- Hands-on experience with data engineering technologies such as Databricks, PySpark, SparkSQL, Apache Spark, AWS, Python, SQL and Scaled Agile methodologies.
- Proficiency in workflow orchestration and performance tuning on big data processing.
- Strong understanding of AWS services.
- Experience with Data Fabric, Data Mesh or similar enterprise-wide data architectures.
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