AWS data engineer

Onsite: 3 days a week

Status: anything is fine Only  w-2

Interview process: 2 video interviews to hire

Contract: 18 months

Must have: aws data, datazone, databricks, glue or spark, python, data warehousing, CI/CD

• Requirements:
• Bachelor’s degree in Computer Science, Engineering or related field
• 5+ years of experience as a Data Engineer or similar role
• Strong proficiency with AWS services (e.g. S3, Glue, Macie)
• Experience with SQL and NoSQL databases
• Proficiency in programming languages like Python, Terraform, Scala or Java for data processing
• Experience with ETL tools and frameworks (e.g. AWS Glue, Apache Spark)
• Familiarity with data modeling, schema design and data warehousing concepts
• Knowledge of CI/CD practices and version control systems
• Strong problem solving skills and attention to detail
• AWS Certification (e.g. AWS Certified Data Analytics, AWS Certified Solutions Architect)
• Experience with big data technologies like Hadoop, Spark or Kafka
• Knowledge of data governance and compliance frameworks
• Experience with IaC tools like Terraform

• Top Must-Haves: 
• - Deep AWS Data knowledge
• * DataZone & DataBricks
• - Glue, Spark, ETL
• - Python
• - CI/CD pipelines
• - Understanding of data warehouse/lakehouse design

• Project Details: 
•  Job Description: 

·         Bachelor’s degree in Computer Science, Engineering or related field

·         5+ years of experience as a Data Engineer or similar role

·         Strong proficiency with AWS services (e.g. S3, Glue, Macie)

·         Experience with SQL and NoSQL databases

·         Proficiency in programming languages like Python, Terraform, Scala or Java for data processing

·         Experience with ETL tools and frameworks (e.g. AWS Glue, Apache Spark)

·         Familiarity with data modeling, schema design and data warehousing concepts

·         Knowledge of CI/CD practices and version control systems

·         Strong problem solving skills and attention to detail

·         AWS Certification (e.g. AWS Certified Data Analytics, AWS Certified Solutions Architect)

·         Experience with big data technologies like Hadoop, Spark or Kafka

·         Knowledge of data governance and compliance frameworks

·         Experience with IaC tools like Terraform