Data Engineer

Required Qualifications

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

3-5 years of hands-on experience in data engineering

Strong advanced SQL skills (mandatory) with deep experience in Amazon Redshift

Proven expertise in data modeling for analytical workloads

Strong understanding of AWS data services, including:Amazon Redshift, AWS Glue, Amazon

S3, Amazon EMR

Experience with data pipeline and workflow orchestration tools such as Apache Airflow

Hands-on experience with Apache Spark

Proficiency in at least one programming/scripting language such as Python, Java, or Scala

Solid understanding of data quality, validation, and best practices

Nice to have

Experience designing large-scale analytics and reporting platforms

Familiarity with BI tools and downstream analytics use cases

Experience with cost optimization and performance tuning on AWS

Exposure to CI/CD for data pipelines

Key Skills

Amazon Redshift (SQL - Advanced)

Data Modeling (Analytics-focused)

AWS (S3, Glue, EMR)

Apache Airflow

Apache Spark

Python / Java / Scala

Data Quality & Optimization