21 days ago
Responsibilities
- Design, build, and maintain scalable data pipelines and ETL/ELT workflows.
- Develop and manage data warehouses, data lakes, and cloud-based storage solutions.
- Collaborate with data scientists, analysts, and business stakeholders to understand data needs.
- Monitor, troubleshoot, and optimize data pipeline performance and reliability.
- Ensure data quality, integrity, and security across data systems.
- Implement best practices for data modeling, documentation, and version control.
- Support integration of new data sources and third-party APIs.
Requirements
- Bachelor's degree in Computer Science, Engineering, or a related field.
- Proven experience as a Data Engineer or in a similar role.
- Proficiency in SQL and at least one programming language such as Python or Scala.
- Hands-on experience with big-data tools such as Spark, Hadoop, or Kafka.
- Experience with cloud platforms such as AWS, Azure, or Google Cloud.
- Familiarity with data-warehousing solutions such as Snowflake, Redshift, or BigQuery.
- Strong analytical, problem-solving, and communication skills.
Benefits
- Employee discounts.
- Health insurance.
- Paid time off.
- Work location is Florham Park, New Jersey.
Tech Stack
Amazon RedshiftApache HadoopApache KafkaApache SparkAWSAzureGoogle BigQueryGoogle CloudPythonScalaSnowflakeSQL
Categories
Data Engineering
About ADP
ADP builds human capital management software and outsourced services for businesses of all sizes, including payroll, tax filing, time, benefits, and talent tools. Its revenue comes from subscriptions and service fees, and it also offers a professional employer organization (PEO) and compliance support. Founded in 1949 and headquartered in Roseland, New Jersey, ADP is a public company traded on NASDAQ under the ticker ADP.