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Senior Data Engineer - Snowflake & AWS ELTApexon • United States
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Senior Data Engineer - Snowflake & AWS ELT

Apexon
  • US
    United States
  • US
    United States
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Über

Job Title: Senior Data Engineer – Snowflake & AWS ELT Location: Berkeley Heights, NJ or Frisco, TX Experience Required: 8+ Years Role Overview: We are looking for a Senior Data Engineer to lead the design, development, and optimization of ELT pipelines on the Snowflake and AWS tech stack. This role requires deep technical expertise in SQL, data modeling, performance tuning, and end-to-end implementation of data solutions. The ideal candidate will have strong Agile experience and a proven track record of delivering scalable, high-performance data systems in production environments. Key Responsibilities: Architect and implement robust, scalable
ELT data pipelines
using
Snowflake ,
AWS Glue ,
S3 , and other AWS services. Write, optimize, and maintain
complex SQL scripts , stored procedures, and transformation logic. Define and implement
data quality rules , monitoring, and alerting for data integrity. Perform
performance tuning
on Snowflake queries and pipelines to ensure system efficiency. Lead technical design sessions and contribute to
data architecture decisions . Participate in all phases of the
SDLC , including design, development, testing, deployment, and support. Collaborate with data analysts, product managers, and business stakeholders to understand data needs. Contribute to and improve
CI/CD pipelines ,
code reviews , and
documentation
standards. Actively participate in
Agile/Scrum ceremonies
and mentor junior data engineers. Required Qualifications: Minimum 8
years
of professional experience in
data engineering , with a focus on ELT/ETL processes. Strong hands-on experience with
Snowflake
(query optimization, performance tuning, data modeling). Expertise in writing, testing, and optimizing
complex SQL queries . Proven experience with
AWS services :
S3 ,
Glue ,
Lambda ,
CloudWatch , etc. Solid understanding of
data warehousing principles ,
dimensional modeling , and
pipeline orchestration . Familiarity with the
Agile/Scrum methodology
and experience working in iterative development cycles. Proficiency in Git, CI/CD tools, and modern development practices. Preferred Qualifications: Experience with
Airflow , or other orchestration tools. Knowledge of
Python
or
PySpark
for data manipulation. Familiarity with
data governance ,
security , and
compliance frameworks .
  • United States

Sprachkenntnisse

  • English
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