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Data Engineer
4 months ago
Requirements:
- Snowflake : Proven experience in using Snowflake for data warehousing solutions.
- Databricks: Strong hands-on experience with Databricks for big data processing and analytics using Machine Learning.
- Redshift: Expertise in managing and optimizing Amazon Redshift data warehouses.
- Spark: Advanced knowledge of Apache Spark for large-scale data processing.
- Hadoop: Solid experience with the Hadoop ecosystem, including HDFS, MapReduce, Hive, and Pig.
- Cloud Platforms: AWS Proficiency
- Programming Languages: Proficiency in SQL, Python.
- ETL Tools: Experience with ETL tools and frameworks.
Good to Have :
- Apache Airflow: Experience in designing and managing workflows using Apache Airflow.
- Big Data Tools: Knowledge of other big data tools and technologies.
- Soft Skills: Excellent problem-solving skills, attention to detail, and the ability to work collaboratively in a team Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.