Design and implement scalable, efficient, and fault‑tolerant data operations across structured and unstructured data systems.
Develop, build, and maintain AWS data platform services including S3, RDS, SQL/NoSQL databases, and data pipelines.
Build and maintain robust data pipelines for multi‑tenant database schema changes, ingestion, transformation, and distribution of data streams.
Partner with senior technical leads, analysts, engineers, and data scientists to deliver scalable cloud-based data solutions using AWS services.
Champion data engineering best practices, driving standards for data quality, pipeline reliability, database design, and consumption efficiency.
Mentor and guide internal engineering teams on pipeline development, database standards, and effective data usage.

Requirements

Bachelor’s degree (or higher) in Computer Science, Engineering, or related technical field.
8+ years of strong experience deploying, managing, and optimizing cloud data platforms.
Proven experience building automation for build, test, and deployment workflows for data pipelines.
Expertise in Python, PySpark, Terraform, CloudFormation and advanced SQL techniques.
Advanced proficiency in SQL with demonstrated experience in designing and optimizing complex queries.
Experience automating workflows in multi-cloud environments (AWS, GCP, Azure).
Hands-on experience with cloud-native architectures and distributed computing using AWS tools such as EMR, Glue, Databricks, and data Lakehouse architectures.
Familiarity with GraphQL for API-based data services.
Experience with Docker, Kubernetes, and microservice‑based Data API development.
Expertise in stream processing technologies such as Amazon Kinesis, Apache Spark, Storm, or Kafka.
Strong collaboration and communication skills, with experience working across cross-functional teams.
Professional certifications in AWS, GCP, Azure, or cloud‑native specialties.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

PythonPySparkTerraformCloudFormationSQLAWSDockerKubernetesApache SparkKafka

Soft Skills

collaborationcommunicationmentoringguidancedata engineering best practices

Certifications

AWS certificationGCP certificationAzure certification