Description we need a home-run hitter. An engineer who leans heavy on data. Skills around pipelines and the many cloud services used with data these days like AWS services, DBT, AirFlow and AirByte, Hands on the keys and working with our team to get our data warehouse and DW pipelines improved.

Our Tech stack relative for this role is:

• Snowflake

• MySQL (Vitess)

• AWS

• Bitbucket, AirFlow, AirByte, DBT, Pyhton, PHP, Javascript

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, or a related field.

• 5+ years of experience in designing, implementing, and maintaining relational/data warehousing environments.

• Strong proficiency in programming languages commonly used in data engineering, such as Python, SQL, and big data technologies like Snowflake, Spark, Kafka, and distributed computing frameworks.

• Experience working with data warehouses and relational databases.

• Familiarity with AWS and/or other cloud-based technologies.

• Experience with Big Data technologies such as Hadoop, Spark, Beam, Flink, or similar technologies is a plus.

• Excellent problem-solving skills with a strong attention to detail.

• Ability to work both independently and as part of a team.

• Excellent verbal and written communication skills. Requirements Python, ETL - Extract Transform Load, Datastage ETL, ETL - Extract Transform Load, Apache Airflow, Snowflake Technology Doesn't Change the World, People Do.®

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