Big Data Engineer

job summary: Responsibilities

Data Engineer with experience designing scalable data pipelines, ETL workflows, and cloud-based analytics solutions. Robust expertise in Python, SQL, PySpark, Databricks and AWS services

location: Malvern, Pennsylvania job type: Contract salary: $49.46 - 54.46 per hour work hours: 8am to 5pm education: Bachelors

responsibilities: Responsibilities

Data Engineer with experience designing scalable data pipelines, ETL workflows, and cloud-based analytics solutions. Robust expertise in Python, SQL, PySpark, Databricks and AWS services

qualifications: Qualifications

Expert knowledge of Python, SQL, PySpark, Databricks, Delta Lake, Apache Spark, Databricks ,Databricks Dashboards, Git, GitHub, CI/CD Pipelines, Data Modeling, Dimensional Modeling, Data Warehousing, Medallion Architecture (Bronze/Silver/Gold),

skills: AWS services,Apache Spark,cloud-based analytics,CI/CD Pipelines,Delta Lake,scalable data pipelines,Data Warehousing,Databricks,Dimensional Modeling,ETL workflows,Git,GitHub,PySpark,Python,knowledge of Python,SQL,Architecture,Dashboards,Data Modeling

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.

At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact HRsupport@randstadusa.com.

Pay offered to a successful candidate will be based on several factors including the candidate’s education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).

This posting is open for thirty (30) days.

Any consideration of a background check would be an individualized assessment based on the applicant or employee’s specific record and the duties and requirements of the specific job.

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Responsibilities

Data Engineer with experience designing scalable data pipelines, ETL workflows, and cloud-based analytics solutions. Robust expertise in Python, SQL, PySpark, Databricks and AWS services

AWS services,Apache Spark,cloud-based analytics,CI/CD Pipelines,Delta Lake,scalable data pipelines,Data Warehousing,Databricks,Dimensional Modeling,ETL workflows,Git,GitHub,PySpark,Python,knowledge of Python,SQL,Architecture,Dashboards,Data Modeling