Highlights

Good to Have: Experience with DBT Experience with Databricks Experience with AWS/Azure cloud services Python Data integration tools such as Informatica, Talend, or similar Data governance and data quality frameworks Snowflake migration/modernization experience Experience with APIs and modern data integration patterns CI/CD and DevOps practices for data engineering. Job Description: Strong hands-on experience with Snowflake Strong SQL and data modeling skills Strong understanding of Data Architecture and Data Engineering Experience designing and developing ETL/ELT pipelines Experience with Snowflake performance tuning and optimization.

Numbers & Facts

LocationExton, PA

Description

Role: Data Engineer

Years of experience :12- 20 years.

Location: Exton, Pennsylvania(Hybrid, 3 days a week)

Interview process-2 internal and 1 Client round.

Must have skills : SQL (Strong), Snowflake .

Good to have skills: Azure Devops - Changsets management (Capable), Technology Architect - Data Architecture (Expert)

Job Description :

Strong hands-on experience with Snowflake Strong SQL and data modeling skills Strong understanding of Data Architecture and Data Engineering Experience designing and developing ETL/ELT pipelines Experience with Snowflake performance tuning and optimization .

Experience with cloud data platforms and modern data architecture Ability to rapidly develop PoCs and technical prototypes Strong analytical and problem-solving skills Experience working directly with business and technology stakeholders

Good to Have:

Experience with DBT Experience with Databricks Experience with AWS/Azure cloud services Python Data integration tools such as Informatica, Talend, or similar Data governance and data quality frameworks Snowflake migration/modernization experience Experience with APIs and modern data integration patterns CI/CD and DevOps practices for data engineering.

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