Data Engineer

Mandatory Skills and Qualifications:
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 environment.
Education:
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.