Data Engineer

Detailed Job Description

Very Strong hands-on as Data application developer with excellent experience on following:

Building Data pipelines under Snowflake/Databricks platform, Databricks and/OR Snowflake, Airflow, Python/Scala/Java, Kafka, Lake houses/Delta lake, Object stores like AWS s3/ Azure blob, Kubernetes Good hands-on on CI/CD (DevOps) AWS/Azure experience.

10 years of industry experience as Senior Software Developer on distributed data systems.

Very Strong hands-on as Data application developer with excellent experience on following:

Databricks, Snowflake, Airflow,

Building Data pipelines under Snowflake/Databricks platform, Python/Scala/Java, Kafka, Lake houses/Delta lake, Object stores like AWS s3/ Azure blob, Kubernetes Good hands-on on CI/CD (DevOps) AWS/Azure experience.

Must have strong architecture understanding on Databricks and/OR snowflake platform.

Good to have following as secondary skills:

Self-service reporting and analytics

Machine learning

Microservices and API

Gathering requirements, understand the business need and regular discussion with tech/business team on design, development activities.

Must have strong architecture understanding on Databricks and/OR snowflake platform.

Top 3 responsibilities you would expect the Subcon to shoulder and execute

10 years of industry experience as Senior Software Developer on distributed data systems.

Databricks, Snowflake, Airflow,

1.Selfservice reporting and analytics