Bigdata engineer - ETL/ Pyspark (No C2C)

I have a below position with one of our clients in the NJ location. Plz preview the job description and let me know if you are interested. Share your updated resume accordingly.

As the Data Management & Analytics team within Engineering, we support our organization s needs around managing data efficiently and enabling everyone across the company to make informed decisions by providing insights into the data. We are responsible for ingesting and preparing massive amounts of data for reporting, dashboards, self-service, and advanced analytics.

A key objective of this role is for you to help to build and support enterprise-level data analytics programs leveraging traditional warehouse technologies, Pyspark, MPP databases and Hadoop.

In order to be successful:
You should have a working knowledge of industry standard Data Infrastructure (e.g. Warehouse, BI, Analytics, big data, etc.) tools with the goal of providing end users with analytics at the speed of thought.
You should be proficient at developing, architecting, standardizing, and supporting technology platforms using industry-leading ETL solutions.
You should thrive in building scalable and high throughput systems
You should have experience with agile BI & ETL practices to assist with the interim Data preparation for Data Discovery & self-service needs.
You must have strong communication, presentation, problem-solving, and troubleshooting skills.
You should be highly motivated to drive innovations company-wide.

You ll need to have:
5 years of experience in designing and developing ETL pipelines leveraging pyspark/python.
Experience on Python database libraries like SQLAlchemy, psycopg2 .etc
Strong understanding of data warehousing methodologies, ETL processing and dimensional data modeling.
Advanced SQL capabilities are required. Knowledge of database design techniques and experience working with extremely large data volumes is a plus.
Demonstrated experience and ability to work with business users to gather requirements and manage scope.
Experience in workflow tools such as oozie or Airflow or Tidal
Experience working in a big data environment with technologies such as Greenplum, Hadoop, and HIVE
BA, BS, MS, PhD in Computer Science, Engineering or related technology field

We d love to see:

Experience with large database and DW Implementation (20 TBs)
Understanding of VLDB performance aspects, such as table partitioning, sharding, table distribution, and optimization techniques
Knowledge of reporting tools such as Qlik Sense, Tableau, Cognos

Thanks
Anshika