Job Title :
Senior Data Engineer – Pyspark | AWS Lambda | AWS Glue | Snowflake
Experience Required :
5 to 9 years
Location : Remote
Joining Timeline : Immediate to 20 Days
Job Summary : We are seeking a
highly skilled and experienced Senior Data Engineer
with strong expertise in
Pyspark ,
AWS Lambda ,
AWS Glue , and
Snowflake . The ideal candidate will be responsible for building and maintaining scalable data pipelines, ensuring seamless data integration and transformation across platforms, and delivering high-performance solutions in a cloud-native environment.
This is a
remote position , open only to candidates who can
join immediately or within 15 days .
Key Responsibilities :
Design, build, and maintain robust and scalable
ETL / ELT pipelines
using
AWS Glue
and
AWS Lambda .
Integrate and manage
Pyspark-based solutions , ensuring secure and compliant data flow.
Work with large datasets and implement complex data transformation logic within
AWS and Snowflake
environments.
Optimize Snowflake queries, warehouse performance, and data architecture.
Automate data ingestion, cleansing, transformation, and loading processes.
Monitor and troubleshoot data pipeline failures and performance issues.
Collaborate with cross-functional teams including data analysts, data scientists, and DevOps.
Ensure adherence to data governance, quality, and security standards.
Provide technical leadership and mentorship to junior data engineers as needed.
Required Skills & Qualifications :
5 to 9 years
of overall experience in data engineering and cloud-based data solutions.
Hands-on expertise in
Payspark
platform and integrations.
Strong experience with
AWS Glue
(Job creation, Crawlers, Catalog, PySpark / Scala scripts).
Solid knowledge of
AWS Lambda
for serverless compute and data automation.
Proven expertise in
Snowflake
(data modeling, performance tuning, secure data sharing, etc.).
Proficient in
SQL, Python , and working knowledge of
PySpark
or
Scala .
Experience with CI / CD practices for data pipelines (e.g., using Git, CodePipeline, or similar tools).
Excellent problem-solving skills and the ability to work independently in a remote setup.
Good to Have :
Exposure to AWS services such as S3, Athena, Redshift, CloudWatch, Step Functions.
Familiarity with data security and compliance best practices (e.g., GDPR, HIPAA).
Experience with Agile / Scrum methodologies.
Employment Type : Full-time :
Remote
Notice Period : Immediate Joiners preferred
or
maximum 15 days .
How to Apply : share it to mkore1@intraedge.com
Sr Software Engineer • India