Cloud Data Engineer (AWS)

• Design, implement, and maintain data pipelines and lake architectures on AWS using Glue, Lambda, Step Functions, and Lake Formation.
• Develop and optimize data ingestion and transformation using Python, Spark, and Boto3 with S3 as the storage layer.
• Implement infrastructure as code with Terraform and manage CI/CD pipelines for testing, release, and deployment.
• Enable analytics using Athena, EMR, Redshift, and S3 Select, and integrate with Snowflake where applicable.
• Monitor, troubleshoot, and optimize workflows using CloudWatch, Splunk, and best practices for reliability and cost control.
• Apply governance and catalog practices using Lake Formation, Snowflake Horizon, and Databricks Unity Catalog when applicable.
• Collaborate with stakeholders to define requirements, deliver secure solutions, and support RTH-based performance objectives.

We are seeking a Cloud Data Engineer to join our team at an intermediate level aligned to 601/602 experience expectations. The ideal candidate will have strong experience in AWS data lake services, Snowflake, Python, and Terraform with CI/CD and a proven ability to design, build, and operate scalable data pipelines and lakehouse solutions in a secure, cost-effective manner. Candidates must be prepared for a single-round Zoom interview and may complete a coding assessment with screen share., * Minimum 6 years of cloud data engineering experience.

• AWS data lake stack: Glue, S3, Lambda, Step Functions, Lake Formation.
• Snowflake, Python, and Terraform with CI/CD practices.
• Experience with AI tooling and workflows, including Copilot, Claude, and agentic patterns.
• Hands-on with data movement tools and APIs: AWS CLI, Python API, Spark, Python Boto3.
• Analytics and compute: Athena, S3 Select, EMR, Redshift, S3, EC2.
• Scripting and programming: Python required. Java or Scala is a plus.
• Scheduling tool knowledge. Control-M preferred.
• CI/CD and release tools: Bitbucket/Git, Jenkins, ServiceNow.
• Logging and tracing: AWS CloudWatch, Splunk.

Preferred Skills:

• Experience with Snowflake Horizon Catalog and Databricks Unity Catalog.
• Familiarity with Databricks and Salesforce integrations.

• Competitive compensation and benefits.
• Opportunities for growth with global clients.
• A supportive, inclusive culture that values innovation and people.
• Exposure to cutting-edge technologies and projects.

BCforward is a leading global IT consulting and workforce solutions firm providing services and support to Fortune 500 and government clients. Founded in 1998, BCforward has grown with our customers needs into a full-service business solutions provider. With delivery centers and offices across North America and India, we take pride in building long-term relationships and delivering excellence through innovation, collaboration, and integrity.