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AWS Data Engineer

What is AWS DATA ENGINEER?

An AWS (Amazon Web Services) Data Engineer is a professional who is responsible for designing, implementing, and maintaining the data architecture and infrastructure on AWS cloud platform. They work with various data sources, including structured and unstructured data, to build scalable, reliable, and efficient data pipelines, data warehouses, and other data solutions.

 

The AWS Data Engineer role typically involves working with AWS services like Amazon S3, Amazon Redshift, Amazon EMR, AWS Glue, AWS Lambda, and AWS Kinesis to build and manage data processing and analytics systems. They also collaborate with data scientists, business analysts, and other stakeholders to ensure that the data solutions meet business requirements.

 

What responsibility should hold as AWS Data Engineer candidate?

  • Engineer enterprise-class, large scale deployments, and deliver Cloud-based Serverless solutions to the 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.

 

What are the skills & Experience required for AWS Data Engineer?

  • 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.

 

What are the Preferred skills & Qualifications required for AWS Data Engineer?

  • You should have solid understanding on AWS Lambda function development experience with Java and/or Python.
  • Strong knowledge on Lambda triggers such as SNS, SES, or cron.
  • Problem-solving skills: As an AWS data engineer, you’ll be working with complex data systems and need to be able to solve problems quickly and effectively.
  • You should have cloud development experience with AWS services, including:
  • Strong knowledge of SQL: You should have a solid understanding of SQL, including querying, data modeling, and database design.
  • Experience with data warehousing: You should have experience with data warehousing concepts, such as data transformation, data migration, and data integration.
  • Knowledge of AWS services: You should have experience with AWS services such as S3, Redshift, EMR, Glue, Kinesis, and Athena. You should also be familiar with other AWS services like EC2, Lambda, CloudFormation, CloudWatch, and IAM.
  • Experience with ETL tools: You should be familiar with ETL (Extract, Transform, Load) tools like AWS Glue, Apache Spark, and Talend.
  • Programming skills: You should have programming skills in languages like Python, Java, or Scala.
  • Education: A degree in computer science, information technology, or related fields is usually required. Additionally, AWS certifications like AWS Certified Data Analytics – Specialty or AWS Certified Big Data – Specialty can give you an edge in the job market.

 

 

Overall, a combination of technical expertise, education, and experience is essential to become an AWS data engineer.

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