AWS Data Engineer

Job Description – Data Engineer (AWS)

As a Data Engineer, you will be part of a dynamic team of data engineers and be responsible for the technical design, implementation, optimization, and maintenance of data engineering solution components for our customers. You will be required to have strong hands-on experience in implementing data engineering solutions on AWS, with a good understanding of data warehouse, data lake, and lake-house architecture patterns.

Requirements

3+ years of hands-on experience in design, development, and implementation of data engineering solutions.
Good understanding of database concepts and strong hands-on experience in SQL development, including performance tuning and query optimization.
Strong programming skills in Python with hands-on experience in developing data engineering solutions.
Strong hands-on experience in implementing data pipelines using PySpark or Spark Scala.
Hands-on experience with Databricks, including development, optimization, and management of large-scale data processing and analytics workloads.
Must have an understanding of streaming data pipelines for near real-time analytics.
Hands-on experience and good understanding of AWS services for data engineering, including AWS Glue, Lambda, Step Functions, Amazon Redshift, EMR, Amazon Kinesis, etc.
Hands-on experience with AWS Lambda is required.
Good understanding and experience working with at least one NoSQL database.
Good understanding of modern data architecture patterns and industry trends in the data engineering space.
Good understanding of data governance concepts for data platforms and analytical solutions.
Experience with version control tools like Git for managing source code.
Experience with DevOps processes, including implementing CI/CD pipelines for data engineering solution components.
Strong analytical and problem-solving skills.
Excellent communication and collaboration skills.

Good to Have:

Certifications on AWS platform, preferably related to Data Engineering.
Experience working with Amazon AppFlow, EKS, API Gateway, and NoSQL database services.
Good understanding and experience working with BI/visualization tools like Tableau / Power BI.