Data Engineer

• Position: Data Engineer
• Location: Hanover, NJ

Job Description:

• Bachelor's degree or Master’s Degree in Computer science, or a related field, with minimum 14+ years of experience
• Data Engineering
• Strong experience in designing and building large-scale data platforms.
• Expertise in data warehousing and dimensional modeling.
• Experience with ETL/ELT design and implementation.
• Strong understanding of data governance, metadata management, and data quality frameworks.
• Programming & Databases
• Advanced proficiency in Python and SQL.
• Experience with Spark/PySpark for large-scale data processing.
• Strong knowledge of relational and NoSQL databases.
• Cloud Technologies
• Experience with one or more cloud platforms:
• AWS
• S3
• Glue
• Lambda
• Redshift
• Athena
• EMR
• Step Functions
• Azure
• Azure Data Factory (ADF)
• Azure Synapse Analytics
• Azure Databricks
• ADLS Gen2
• Big Data & Streaming
• Apache Spark
• Kafka
• Kinesis
• Hadoop ecosystem (preferred)
• DevOps & Automation
• Git
• Jenkins/GitHub Actions/Azure DevOps
• Terraform or CloudFormation
• Docker and Kubernetes (preferred)
• Preferred Qualifications
• Experience with Apache Iceberg, Delta Lake, or Hudi.
• Hands-on experience with Snowflake or Databricks.
• Experience implementing Lakehouse architectures.
• Working knowledge of Data Mesh and modern data platform concepts.
• Exposure to AI/ML data pipelines and feature engineering.
• Experience in Banking, Financial Services, or Capital Markets domains.
• Strong analytical and problem-solving skills, with a proven track record of identifying and resolving complex billing issues.
• Excellent communication and presentation skills, with the ability to explain complex technical concepts to both technical and non-technical audiences.