
Senior Data Engineering Expert
7 hours ago
Our organization seeks a Senior Data Engineering Expert to design and develop complex data pipelines using Big Data technologies.
">- Build scalable data workflows with tools such as Ab Initio, Informatica, DBT, and Apache Spark.
The ideal candidate will have hands-on experience in distributed data processing, data modeling within cloud environments like AWS, and expertise in ETL frameworks.
">Key Responsibilities:
">- Design and implement robust data solutions using modern Big Data and cloud-native technologies.
- Leverage various structured and unstructured data sources for efficient data ingestion and transformation.
- Write optimized SQL queries and manage stored procedures for complex data processing tasks.
- Orchestrate workflows using Airflow or similar schedulers.
- Collaborate with cross-functional teams to understand data needs and deliver high-quality datasets.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 4+ years of hands-on experience in ETL development, data engineering, and data pipeline orchestration.
- Expertise in Python, PySpark, or Scala for data processing.
- Proven experience in Big Data technologies (Hadoop, Hive, Spark).
- In-depth understanding of data modeling, ETL cycle, and data management principles.
- Familiarity with containerization and CI/CD pipelines.
As a Senior Data Engineering Expert, you will be responsible for designing and implementing complex data pipelines, collaborating with cross-functional teams, and ensuring the delivery of high-quality datasets. If you have strong experience in Big Data technologies and ETL frameworks, we encourage you to apply for this role.
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