What are the responsibilities and job description for the Snowflake Developer position at Alltech Consulting Services, Inc.?
Job Details
Job Title: Sr. Snowflake Developer
Location: Jersey City, NJ/ Lake Mary, FL, Pittsburgh, PA 4 Days onsite role
Need Passport Number
Mandatory Skills: Data Engineer - DBT Snowflake Airflow SQL SnowPro Core Certification.
Job Description:
- Design and develop scalable data pipelines using modern data stack technologies for Cloud data platform.
- Write ETL processes, design data applications and develop data pipelines for Operational Business Intelligence Mart
- Role involves analyzing technical metadata, Data Pipeline logs and data lineage for data platform, and providing insights to support data platform operational decisions.
- Collaborate with cross-functional teams to understand and Elucidate Observability requirements for the data platform considering SLA, operational needs, DQ and proactive monitoring.
- Work with other engineers on the team to elevate technology and consistently apply best practices.
DBT Experience is must required:
- DBT macros and overwriting
- DBT Custom Schemas
- DBT Materialization details
- Snowflake Cluster Keys
- Snowflake SQL functions
Required Skill and Experience:
- A minimum of 7 years of IT experience in data engineering or data management field
- 4 - 5 years of experience in application development using SQL, PLSQL
- Strong working knowledge and min of 2 years experience in DBT, Snowflake
- Hands-on experience with Airflow is highly recommended
- Strong working experience with Python, python pandas.
- Recent experience as a Senior Data Engineer in any public cloud, preferably on Azure as well as on a cloud warehouse like Snowflake is required
- 2 years of experience in building data pipelines using various ETL and ELT tools
- Experience in building cloud native solutions, preferably on Azure including the use of DevOps CI / CD tools and containers.
- Proven experience as a Data Analyst or in a similar role.
- Strong proficiency in Data Modelling, process metadata, observability, and monitoring data platforms.
- Familiarity with data modelling tools / techniques is a plus
- Azure or Snowflake training / certification is a plus
- Strong analytical, problem solving, communication, collaborative and organizational skills
- Self-driven, self-directed, passionate analytical and focused on delivering the right results
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $60 - $70
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