Senior Data Engineer with PySpark Day 1 onsite/Hybrid model (3 days onsite 2 days remote)
Locations Mt Laurel, NJ
Client: Hexaware
Duration: Fulltime
Experience: 10-12+ Years
Primary Tech skills Pyspark, Databricks, ADF
Experience in building end to end architecture for Data Lakes, Data Warehouses and Data Marts
Experience of DWH, Data Integration, Cloud, Architecture, Design, Data Modelling
Hands-on experience in Pyspark is a must.
Experience working with structured and unstructured data.
Extensive knowledge of ETL and Data Warehousing concepts, strategies, methodologies
Experience in data ingestion, preparation, integration, and operationalization techniques in optimally addressing the data requirements.
Experience in relational data processing technology like MS SQL, Delta Lake, Spark SQL, SQL Server
Experience with Orchestration tools and GitHub
Experience to own end-to-end development, including coding, testing, debugging and deployment.
Must be team oriented with strong communication, collaboration, prioritization, and adaptability skill
Need to be an individual performer as well as a Lead.