AWS Cloud Data Engineer: Databricks, Python & BI Pipelines

Synechron; Piscataway Township (NJ); On-site; USD 110,000 - 120,000; Full time

Benefits offered by this job

Competitive compensation

Global opportunities

Paid annual leave

Job summary

Synechron is seeking an AWS Cloud Data Engineer to design, build, and optimize cloud-based data pipelines and analytics capabilities. The role emphasizes hands-on data engineering, Databricks, Python development, and AWS services to deliver scalable solutions for BI and data integration.

You will collaborate with data analysts, BI developers, and business stakeholders to implement ingestion, transformation, and reporting components, leveraging Power BI and Tableau where applicable.

Qualifications

• 8+ years of experience in data engineering or cloud development.
• Experience with Databricks and Spark.
• Experience with Power BI and Tableau.
• Experience with AWS services (Lambda, S3, IAM, CloudWatch).
• Experience with MongoDB and data ingestion pipelines.
• Familiarity with GitHub Actions and CI/CD.
• Ability to work within an Agile development environment.

Responsibilities

• Develop, maintain, and support scalable data pipelines using Python, Databricks, and AWS services.
• Build data ingestion, transformation, validation, and processing workflows.
• Work with structured, semi-structured, and unstructured data sources.
• Develop data processing solutions using Databricks and Apache Spark.
• Implement data cleansing, enrichment, transformation, aggregation, and validation processes.
• Write efficient, maintainable, and well-documented code.
• Troubleshoot data quality, pipeline performance, processing, and integration issues.
• Collaborate with developers, analysts, BI developers, and stakeholders.
• Contribute to data models, data structures, and development documentation.
• Develop and support data solutions using AWS cloud services.
• Build serverless data-processing components using AWS Lambda.
• Use Amazon S3 for data storage, staging, archival, and data-lake workflows.
• Integrate AWS services into automated pipelines.
• Implement error handling, logging, monitoring, and alerting.
• Secure handling of data, credentials, and configuration.
• Assist with deployment, troubleshooting, and operational support of AWS-based workloads.
• Follow established AWS development and security standards.

Skills

Python development

Agile methodologies

Power BI experience

Tools

Databricks

AWS

AWS Lambda

Amazon S3

MongoDB

GitHub

GitHub Actions

Tableau

Job description

Synechron is seeking an AWS Cloud Data Engineer to design, build, and optimize cloud-based data pipelines and analytics capabilities. The role emphasizes hands-on data engineering, Databricks, Python development, and AWS services to deliver scalable solutions for BI and data integration.

You will collaborate with data analysts, BI developers, and business stakeholders to implement ingestion, transformation, and reporting components, leveraging Power BI and Tableau where applicable.