Role: Senior Data Engineer
Location: Remote
Duration: 6 Months
Experience: 5–8 Years
We are seeking a Senior Data Engineer to design, develop, and optimize scalable data pipelines and analytics solutions on secure cloud platforms.
Key Responsibilities:
Design and deploy scalable, fault-tolerant data pipelines and ETL/ELT workflows.
Work with SQL, Python, PySpark, Spark, Kafka, Snowflake, Databricks, dbt, and Airflow.
Develop data ingestion, transformation, warehousing, and analytics solutions.
Apply modern data architectures including Data Vault, Star Schema, 3NF, and Medallion Architecture.
Build and optimize cloud-native data solutions using AWS.
Implement CI/CD, data governance, testing, monitoring, and performance optimization.
Collaborate with business and technical stakeholders to gather requirements and deliver solution architectures.
Support GenAI/AI-first development, including agents, embeddings, context retrieval, and AI workflows.
Integrate enterprise platforms such as Microsoft Graph, Salesforce, ServiceNow, Jira, and SharePoint.
Develop secure applications using Docker, Kubernetes, and CI/CD pipelines.
Lead technical discussions and mentor/support data engineering teams.
Required Skills:
5–8 years of relevant Data Engineering experience.
Expert in SQL, Python, PySpark, and data pipelines.
Strong experience with AWS services such as EMR, Glue, Athena, Lambda, EC2, DynamoDB, IAM, CloudWatch, and CloudFormation.
Experience with Spark, Kafka, Snowflake/Databricks, dbt, Airflow, and data streaming.
Knowledge of SQL/NoSQL databases, ETL, BI, Linux, networking, and CI/CD.
Experience with Agile/Jira and remote teams.
Strong communication, leadership, and stakeholder management skills.
AWS certification is a plus.

Senior Data Engineer

Similar Engineering Jobs

Senior Applied AI Engineer

Cyber Security Analyst II (Developer)

Principal Data Engineer

Cost Engineer - Data Center Construction

AI Governance Security Engineer

SR SOFTWARE ENGINEER/ORACLE ANALYTICS DEVELOP