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            Job Description
            
                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
            
         
  
  
  
        
        
        
        
        
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