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AWS Data Engineer
Advanced technology to Solve Business Problems.( A1)
AWS Data Engineer
Advanced technology to Solve Business Problems.( A1)'s logo

AWS Data Engineer

at Advanced technology to Solve Business Problems.( A1)

Agency job
2 - 4 yrs
₹10L - ₹15L / yr
Hyderabad
Skills
skill iconPython
PySpark
Knowledge in AWS
  • Desire to explore new technology and break new ground.
  • Are passionate about Open Source technology, continuous learning, and innovation.
  • Have the problem-solving skills, grit, and commitment to complete challenging work assignments and meet deadlines.

Qualifications

  • Engineer enterprise-class, large-scale deployments, and deliver Cloud-based Serverless solutions to our customers.
  • You will work in a fast-paced environment with leading microservice and cloud technologies, and continue to develop your all-around technical skills.
  • Participate in code reviews and provide meaningful feedback to other team members.
  • Create technical documentation.
  • Develop thorough Unit Tests to ensure code quality.

Skills and Experience

  • Advanced skills in troubleshooting and tuning AWS Lambda functions developed with Java and/or Python.
  • Experience with event-driven architecture design patterns and practices
  • Experience in database design and architecture principles and strong SQL abilities
  • Message brokers like Kafka and Kinesis
  • Experience with Hadoop, Hive, and Spark (either PySpark or Scala)
  • Demonstrated experience owning enterprise-class applications and delivering highly available distributed, fault-tolerant, globally accessible services at scale.
  • Good understanding of distributed systems.
  • Candidates will be self-motivated and display initiative, ownership, and flexibility.

 

Preferred Qualifications

  • AWS Lambda function development experience with Java and/or Python.
  • Lambda triggers such as SNS, SES, or cron.
  • Databricks
  • Cloud development experience with AWS services, including:
  • IAM
  • S3
  • EC2
  • AWS CLI
  • API Gateway
  • ECR
  • CloudWatch
  • Glue
  • Kinesis
  • DynamoDB
  • Java 8 or higher
  • ETL data pipeline building
  • Data Lake Experience
  • Python
  • Docker
  • MongoDB or similar NoSQL DB.
  • Relational Databases (e.g., MySQL, PostgreSQL, Oracle, etc.).
  • Gradle and/or Maven.
  • JUnit
  • Git
  • Scrum
  • Experience with Unix and/or macOS.
  • Immediate Joiners

Nice to have:

  • AWS / GCP / Azure Certification.
  • Cloud development experience with Google Cloud or Azure

 

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Shubham Vishwakarma

Full Stack Developer - Averlon
I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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