Data Engineering Manager
Job ID : 29612
Job Title : Data Engineering Manager
Location : New York, NY
Comapny Name : Atechstar
Job Type : Full-Time, parttime, contract, training
Industry : Information Technology
Salary : $258900 - $499000 per year
Work Authorization : ["OPT","CPT","F1","H4","L1","Have H1 Visa","TN Permit Holder","Green Card Holder","Canadian Citizen","US Citizen"]
No. of Positions : I have ongoing need to fill this role
Posted on : 08-05-2022
Required Skills : Data Engineering Manager
Benefits : Medical Insurance, Dental Insurance, Vision Insurance, 401K, Life Insurance
Job Description :
BASIC QUALIFICATIONS
7 years of relevant(data) engineering experience 2 years of people management experience, managing data engineers Experience in partnering with product and program management teams Bachelors degree in Engineering, Computer Science or a related technical field 2 years of experience owning a program/product/feature, scoping requirements, planning milestones, project management and working with technical teams 2 years of experience in building, growing and managing team of high caliber engineers Proven track record of leading large cross-functional data projects. Ability to handle multiple competing priorities in a fast-paced environment Ability to roll up sleeves and operate as an individual contributor to get the job done; at the same time be able to guide a team toward an objective. Ability to build strong relationships with stakeholders and key partners for the program Strong judgment, especially relevant in balancing long term strategic investments with near term business goals. Able to provide architectural guidance and direction throughout the project lifecycle. Ability to communicate clearly and effectively with developers, business owners, and senior business leaders PREFERRED QUALIFICATIONS
Industry experience as a Data Engineer with a track record of manipulating, processing, and extracting value from large datasets. Coding proficiency in at least one language (SQL, Python). Experience leading/managing large-scale data warehousing and analytics projects, using AWS technologies Redshift, S3, Glue, EMR, EC2, Data-pipeline and other big data technologies. Experience managing a technical team of 8 engineers for 4 or more years.
Company Details :
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