Tech Lead

Keylent, Inc.

• $104K *
Seattle, WA 98115In-Person
Information Technology
5 - 7 years of experience
Reposted Today
Be an Early Applicant
Job Overview by Ladders

Qualifications

  • 5+ years of experience in data engineering required
  • Proficient in Python programming
  • Experienced with Snowflake platform
  • Familiarity with ETL pipelines and data flow construction
  • Knowledge of cloud technologies and best practices
  • Strong written and verbal communication skills
  • Experience with management technologies like AWS S3

Responsibilities

  • Develop and manage analytics solutions on the Snowflake platform
  • Define and implement data engineering architecture strategies and best practices
  • Create ETL pipelines utilizing Python and Snowflake
  • Load batch and streaming data, including via Kafka
  • Map complex data sets from source systems to processing flows
  • Conduct code reviews and help optimize developer performance
  • Leverage advanced Snowflake features for performance tuning

Benefits

  • In-person work environment from day one
  • Engaged in cloud transformation initiatives
  • Opportunity to work on modern analytics platforms
  • Hands-on experience with industry-leading technologies
  • Collaborative team setting in a prime location
Full Job Description
Request-ID:25075-1
Request-ID:25078-1
Request-ID:25077-1
Request-ID:25080-1
Request-ID:25079-1
Tech Lead
***Max Rate : $50
***In Person from Day 1 and 5 days a week in office- Seattle, WA
Primary Skills : Python & AIA Data Profiling and Analytics
Job summary
Experience 5to8Yrs
Roles & Responsibilities:
This role will be part of a team focused on cloud transformation, modernizing analytics platforms and improving agility.
The role requires hands-on experience in building and managing analytics solutions in Snowflake, Provide direction on adoption of Cloud technologies (Snowflake) and industry best practices in the field of Data Engineering architecture and Development.
Primary duties and responsibilities:
- Good understanding in Snowflake platform: external tables, materialized views, stored procedures, tasks, row-based access policy and role-based access policy, time-travel, fail-safe, connectors, Micro-partitions & Data Clustering in snowflake, query pruning
- Establish Data Engineering architecture strategy, best practices, standards, and roadmap
- Experience developing ETL Pipeline using Python, Snowflake and IDMC.
- Experience with loading batch data and streaming data via Kafka
- Build Data Flows mapping Source systems and Process flows.
- Assemble large, complex data sets that meet non-functional and functional business requirements
- Perform code reviews and assist developers in optimization and troubleshooting.
- Expertise in Snowflake advanced concepts like setting up resource monitors, RBAC controls, virtual warehouse sizing, query performance tuning, zero copy clone, time travel and understand how to use these features
- Knowledge in AWS and management technologies such as S3.
- Strong written communication skills- Is effective and persuasive in both written and oral communication
Must Haves:
- 5+ years of experience within data engineering
- Python experience
- Snowflake experience
Job Location Primary: USWASELC01 Seattle - WA USA
Job Type 65CW00 Business Associate
Demand Requires Travel? N
Certification(s) Required NA
* Ladders Estimates

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