Data Engineer - Fulltime Permanent

Please go through the job description below and let me know if you or anyone who is looking for a good opportunity. You can reach me on 567-386-3012.

Data engineer

Job Type: Permanent

Location: NYC (Hybrid Role)

Looking for who has completed their education from top US Universities.

They should have extensive experience building and maintaining data pipelines for ingesting data using Python, SQL, and automated ETL processes across millions of rows.

Responsibilities:

Help coordinate with Business Intelligence Analysts and work with onsite/offshore Data Engineers and own deliverables.

Build out data engineering pipelines and optimizations of a cloud-based Data Lake, Data Warehouse, and File System.

Work in an onsite and offshore team model to build out ETLs to support Business Intelligence initiatives, including real-time processing, distributed computing, & containerized solutions

Help in Data QA and ensure required auditing and alerts are implemented for every data engineering pipeline.

Ownership of Client communication – gathering requirements, problem structuring and delivery of output

Build capabilities in junior team members

Qualifications (Required):

Bachelor’s or Master's degree in economics, mathematics, computer science/engineering, operations research or related analytics areas

Demonstrated leadership ability and willingness to take initiative

Entrepreneurial hands-on approach to work

Superior analytical and problem solving skills

Outstanding written and verbal communication skills

Effective time management and attention to detail

6+ years’ experience in data analytics or data engineering role

Hands on experience in using SQL, Python and Workflow Schedulers (Apache Airflow, Cron)

Experience in leading team and coordinating with internal / external stakeholders

Qualifications (Preferred):

Experience in using Cloud Platforms (AWS / GCP / Azure)

Experience in creating and maintaining data pipelines, data marts and dashboards

Experience in using Visualization tools (Tableau / Power BI)

Experience with Big Data Technologies (Hadoop, Hive, Hbase, Pig, Spark, etc.)

Thanks!!

Hitesh Moolya

Sr. Talent Acquisition Specialist

Prodware Solutions LLC | ORACLE Gold Partner

Office: 567-386-3012

Email: [email protected] | www.prodwaresol.com

LinkedIn: linkedin.com/in/hitesh-moolya-67327444