Data Engineer

  • Free
  • Published date: June 12, 2020
    • New York, United States

Position : Data Engineer

Duration ? 12-18 Months

Location ? NYC, NY (it could be remote. Post that, location is NYC)

Interview : Phone and Skype

We are looking for a self-motivated Data Engineer to join our data platform
team. The candidate will be responsible for expanding and optimizing our
data platform and data pipeline architecture, as well as optimizing data
flow and collection for cross functional teams. The ideal candidate is an
experienced data pipeline builder who enjoys optimizing data systems and
building them from the ground up. The Data Engineer will support our
software developers, database architects, data analysts and data scientists
on data initiatives and will ensure optimal data delivery architecture is
consistent throughout ongoing projects. They must be self-directed and
comfortable supporting the data needs of multiple teams, systems and
products. The right candidate will be excited by the prospect of optimizing
and/or re-designing our data architecture to support next generation of
products and data initiatives.



Responsibilities:



? Gather requirement from Product Owner team; groom the userstories for the
requirements and plan the stories for each sprints for project delivery.

? Design the database objects and develop procedures, functions, packages
with scalability and high performance

? Extensively work in collections and table type objects with multiple
level nested tables

? Work with stakeholders including Managemet team, Product Owners and
Architecture teams to assist with data-related technical issues and support
thier data infrastructure needs.

? Identify, design and implement internal process improvements: automating
manual process and optimizing data delivery.

? Maintain the source codes using version control tools like github and
work with DevOps team for seamless deployment of database objects to
various environments.

? Prepare Conceptual, Logical and Physical data models for the Databases
using tools like Erwin Data Modeler.



Technologies and Tools:



Oracle 11g/12c, Toad for Oracle, Linux, Putty, GitHub, Rally,

Nice to have: Informatica, Python, Aurora, and Hive





Qualifications:



Experience building and optimizing Oracle databse objects like Packages,
Procedures, Functions and SQL queries.

Advanced hands-on SQL knowledge and experience working with relational
databases for data querying and retrieval.

Experince in performance tuning of DB using Collections and Bulk
operations.

Experience in Agile Methodology practice for continuous delivery of the
project increments.



Nice to have:

Experience with big data frameworks/tools: Hadoop, AWS, Kafka, Spark, etc.

Experience with relational SQL and NoSQL databases, including Oracle, Hive,
HBase.

Experience performing root cause analysis on data and processes to answer
specific business questions and identify opportunities for improvement.

Experience with data security.

Experience with Java and/or Python

Working with product owners to review the requirement, analyze the business
logic, and translate that to the details tasks of the particular user
stories in Rally;

Participate daily scrum meetings to collaborate with other scrum team
members;

Working closely with team members to implement the requirement captured in
the Rally user stories;

Deliver the commitment made to the program increment (PI).

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Reference : Data Engineer jobs

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