Data Engineer

This role is for a Data Engineer on a contract basis, requiring expertise in SQL, Spark, Python, and AWS (EMR, Glue, Athena). Located in Malvern, PA, the position prefers candidates with AWS certifications and experience in data pipelines and Agile methodologies.
🌎 - Country
United States
💱 - Currency
Unknown
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
January 14, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
On-site
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Malvern, PA 19355
🧠 - Skills detailed
#Docker #Scala #Apache Spark #Big Data #ML (Machine Learning) #Informatica #Data Engineering #Deployment #Agile #AWS EMR (Amazon Elastic MapReduce) #Cloud #Data Pipeline #AWS (Amazon Web Services) #Athena #SQL (Structured Query Language) #Data Science #Python #Model Deployment #Amazon EMR (Amazon Elastic MapReduce) #Spark (Apache Spark) #Data Warehouse #Kubernetes
Role description
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Details:-SQL, Spark, Python and AWS (EMR, Glue, Athena)
We are seeking a highly skilled and experienced Sr. AWS Data Engineer to join our dynamic team. In this role, you will be responsible for designing, developing, and optimizing end-to-end data solutions using AWS technologies, including Amazon EMR, Glue, Athena, and other cloud-based tools. The ideal candidate will have extensive experience working with large-scale data environments and will be well-versed in SQL, Apache Spark, and Python. You will work closely with cross-functional teams to build robust, scalable, and cost-effective data pipelines and infrastructure to support data-driven decision-making across the organization.
Preferred Qualifications:

Certifications: AWS Certified Big Data – Specialty or AWS Certified Solutions Architect – Associate.
Containerization: Experience with containerized environments (e.g., Docker, Kubernetes).
Data Science Exposure: Exposure to data science workflows, machine learning pipelines, and model deployment is a plus.
Agile Methodologies: Familiarity with Agile methodologies and working in an iterative development environment.

Job Type: Contract
Benefits:

401(k)
Dental insurance
Flexible schedule
Health insurance
Life insurance
Paid time off

Schedule:

8 hour shift

Experience:

Informatica: 1 year (Preferred)
SQL: 1 year (Preferred)
Data warehouse: 1 year (Preferred)

Ability to Commute:

Malvern, PA 19355 (Required)

Ability to Relocate:

Malvern, PA 19355: Relocate before starting work (Required)

Work Location: In person