Project - Data Engineer

Job summary

Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Data Engineer - Project Delivery Analyst you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. If so, consider an opportunity with Del*** under our Project Delivery Talent Model.

Qualifications

• Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment?
• and validate outputs; participate in sprint ceremonies and estimations.
• Contribute to code reviews (give/receive), unit tests, and peer debugging; learn and apply team engineering standards.
• The Team
• AI& Data - AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure.
• These solutions are powered by engineering for business advantage, transforming mission-critical operations.
• We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms.
• Our delivery models are tailored to meet each client's unique
• Required
• 1+ year of experience building/enhancing data pipelines and curated datasets for analytics/downstream consumers.
• 1+ year of hands-on experience with SQL and Python, including Snowflake and/or PySpark for transformations and scalable processing.
• 1+ year of experience with cloud data engineering on AWS (preferred) or Azure/GCP, including orchestration/scheduling (e.g., Airflow/MWAA, Step Functions, Glue, ADF/Fabric Data Factory).

Responsibilities

• As an experienced Data Engineer - Project Delivery Analyst you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel.
• Work you'll do/
• Build and enhance data pipelines on AWS using Python to ingest, transform, and deliver data to Snowflake and downstream consumers.
• Develop and maintain Snowflake objects (schemas, tables, views) and performant SQL transformations to produce curated, analytics-ready datasets.
• Implement workflow automation and scheduling (e.g., Airflow/MWAA, Step Functions, Glue) with proper dependencies, retries, and logging.
• Apply data quality checks and basic observability (validation rules, reconciliation, alerts) and support incident triage and remediation.
• Optimize pipeline and query performance with guidance (efficient Python, partitioning/file formats in S3, Snowflake warehouse usage and query tuning).
• Follow CI/CD and IaC standards (e.g., Git-based workflows, Terraform/CloudFormation changes) to promote code across environments.
• Collaborate with analysts, product owners, and source-system teams to clarify

Skills

Degrees

Travel

Industry