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Senior Data Engineer - Snowflake & AWS ELT
Apexon
- United States
- United States
Über
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 .
Sprachkenntnisse
- English
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