Sr. Data Engineer (Snowflake/DBT)

Overview

On Site
Accepts corp to corp applications
Contract - W2
Contract - 12th Month(s)

Skills

snowflake
SEMARCHY
DBT
Semarchy MDM

Job Details

Job Title:- Sr. Data Engineer (Snowflake/DBT)
Location:- Ney York City, NY (Day 1 OnSite, 4 Days a week at the office)
Job Type:- Contract

Job Description:-
Years of experience needed
  • 10+ years of hands-on experience in UI development projects.

Technical Skill:

  • Setting up Semarchy MDM tools and maintenance. (Mandatory)
  • Strong database management skills Snowflake/SQL/ DBT. (Mandatory)
  • Strong cloud infra e.g. ADLS & ADF.
  • Expertise in relational and dimensional data modeling.
  • Designing and developing efficient data ingestion processes, data models, and data pipelines leveraging the power of Snowflake/ Redshift / Bigquery
  • Collaborating extensively with clients to gain a deep understanding of their data requirements and translating them into robust technical solutions.
  • Implementing end-to-end ETL/ELT workflows to seamlessly extract, transform, and load data into Snowflake/ Redshift / Bigquery
  • Optimizing data pipelines to achieve exceptional performance, scalability, and reliability.
  • Conducting thorough data quality assessments and implementing effective data governance best practices.
  • Monitoring and troubleshooting data integration processes to ensure the utmost accuracy and integrity of data.

Certifications Needed:

  • Excellent oral and written, and problem-solving skills are required.
  • Effective communication and presentation skills (written and verbal) are required.
  • Candidate should be comfortable working in a fast-paced environment and can help build APIs, Calculators, on new cutting-edge cloud and big data technologies such as Snowflake, Fivetran, DBT, Python etc.
  • Top-notch lead engineering talent with 8+ years of experience building and managing data related solutions preferably in financial industry.
  • Experience using ETL/ELT tools and technologies such as Azure Data Factory, SSIS a plus.
  • Embrace data platform thinking, design and develop data pipelines keeping security, scale, uptime, and reliability in mind.
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