What are the responsibilities and job description for the AWS Data Pipeline Engineer - DPL position at XFORIA Inc?
Job Details
Job Title: Data Pipeline Engineer
Location: Jersey City, NJ (Onsite)
Mode: Contract
Required Skills & Qualifications
- Strong hands-on expertise with:
- PySpark (RDD, DataFrames, Spark SQL, performance tuning)
- DPL (Data Pipeline Language / relevant tool-specific DPL)
- Proficiency in Python for data engineering workflows.
- Experience with distributed computing and big data technologies (Spark, Hadoop, Delta Lake).
- Strong SQL skills and experience with relational and NoSQL databases.
- Experience building ETL/ELT pipelines on cloud platforms (AWS / Azure / Google Cloud Platform).
- Familiarity with CI/CD, Git, and containerization (Docker/Kubernetes) is a plus.
- Bachelor’s or Master’s in Computer Science, Engineering, or related field.
Preferred Skills
- Experience with orchestration tools (Airflow, ADF, Argo, Prefect).
- Knowledge of data warehousing concepts (Star schema, SCD, normalization).
- Experience with streaming platforms (Kafka, Kinesis, Spark Streaming).
- Exposure to data governance, security, and compliance frameworks.
- Experience working in Agile environments.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
Salary : $70