Required 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.

Job Type: Permanent