Data Engineer

Job Description

Requirements
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### Must have:

### - We require formal training or certification in data engineering, along with at least 2 years of hands-on experience. - We need strong expertise across the data lifecycle, including advanced SQL and working knowledge of NoSQL databases and their use cases. - We look for experience with statistical data analysis and the ability to choose the right tools and data patterns for the problem. - We require extensive experience with AWS and building or maintaining data pipelines using Python and PySpark. - We need strong programming proficiency in Python and PySpark, including writing and running complex queries. - We expect proven ability in performance tuning to improve job execution efficiency. - We value advanced experience using Gen AI models through APIs and SDKs. - We require experience with cloud data lakehouse platforms such as AWS Data Lake, Databricks, or Hadoop. - We need familiarity with relational databases such as Postgres or Oracle, and NoSQL platforms such as Cassandra, DynamoDB, or MongoDB. - We expect strong capability with cloud data warehouses such as Snowflake or AWS Redshift. - We require experience with scheduling and orchestration tools such as Airflow or AWS Step Functions. - We look for proficiency in Unix scripting, data structures, and serialization formats such as JSON, AVRO, or Protobuf. - We need knowledge of big data storage formats such as Parquet or Iceberg. - We expect familiarity with data processing approaches including batch, micro-batching, and streaming. - We require experience with data modeling methods such as Dimensional, Data Vault, Kimball, or Inmon. - We value understanding of Agile practices, TDD/BDD, and CI/CD toolsets. - We prefer candidates with knowledge of data governance and security best practices. - We prefer experience performing data analysis to generate business insights. - We strongly prefer candidates with deep expertise in Python and Spark.

Responsibilities:
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- We design and deliver secure, stable, scalable data collection, storage, access, and analytics solutions. - We develop, test, and maintain mission-critical data pipelines and architectures across multiple technical domains. - We review data protection controls to ensure enterprise information is adequately safeguarded. - We make tailored configuration updates in tools to support business or customer requests. - We update logical and physical data models as new use cases emerge. - We use SQL extensively and apply NoSQL technologies where appropriate. - We build and maintain enterprise data models and large-scale data processing pipelines. - We lead code reviews and mentor fellow team members. - We improve data quality and make data more accessible for analysts and data scientists. - We ensure solutions align with data governance standards and broader business objectives. - We contribute to a culture of diversity, opportunity, inclusion, and respect. - We work as part of an agile team to support business functions and organizational goals.
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Company:
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We are hiring a Data Engineer III for our Consumer and Community Bank team in Jersey City, New Jersey on a contract basis. In this role, we offer an hourly pay range of $65 to $70, with full-time consultant benefits that may include medical, dental, vision, 401K contributions, and other PTO or sick leave benefits required by applicable state or local laws. We are PTR Global, a leading information technology and workforce solutions provider with a large U.S. and Canada presence. We are committed to candidate privacy and security and do not ask applicants to pay fees, purchase products, or share sensitive financial information during the hiring process.
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