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Senior Data Engineer
Ekimetrics New York, NY
$121k-156k (estimate)
Full Time | Business Services 6 Months Ago
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Ekimetrics is Hiring a Senior Data Engineer Near New York, NY

Ekimetrics is the European leader in data science with 320 data scientists and 1000 projects since 2006. Thanks to our global presence in Paris, London, NY, and Hong Kong, we lead projects in 50 countries in all industries. We help companies steer their data opportunity, build data capabilities, and deploy actionable solutions to power up marketing and operational performance, as well as (re)energize business models. Our primary focus is to deliver immediate business gains, while guaranteeing sustainable data capital for our clients. We are committed to the most advanced data science and to building fair and conscious data & AI practices. At Ekimetrics, we believe our best assets are our people. They are what set us apart and drive our success with entrepreneurial spirit and innovation. We encourage entrepreneurial spirit and innovation. We share what we know with others, and, above all, we love what we do. These sentiments are supported by our company values which serve as pillars in our work and attitude: curiosity, creativity, excellence, transmission, and pleasure. In our New York office, we focus particularly in Marketing Science and the deployment of our ‘MMO’ offer (Marketing Mix Optimization), either through analytics as a service or building industrialized solutions.The role: With our expertise in Data Engineering, we support our clients in their Data Transformation so that they can carry out ambitious data-oriented initiatives. We advise our clients in the choice of the most appropriate technology as well as in the implementation of robust and scalable Data Architectures. Our mission is also to support projects in Business Intelligence & industrialization of algorithms. In this context, we are looking to hire our first Senior Data Engineer in our NY office, who will carry out various projects with strong strategic impact and end-to-end for prestigious clients. More specifically, your responsibilities are to:· Carry out the implementation of tailor-made, high-performance, scalable solutions;· Identify and provide tools and advice for data ingestion, processing, and analysis and empower other domains in gaining valuable Insights through them· Be the subject matter expert, advising and building solutions, in the contexts of PoC, Datalab or Datalake· Implement complex algorithms in a Big Data environment;· Operational lead & mentoring;· Manage the technical relationship between Ekimetrics and our clients in the US and internationally;· Develop and share your knowledge in your project teams but also in the context of exciting, Innovation and R&D topics The primary focus of your role will be to lead the data engineering practices within your project teams and ensure that we are delivering highly valuable and effective data science solutions that meet the client’s needs. You will be working in teams of 2 to 3 consultants, on 1 to 2 projects simultaneously, and involved throughout the whole project lifecycle, from first discovery meetings all the way through to final recommendations, meaning you’re adding both operational and strategic value to our clients. As a Senior, you’ll be proactively supporting the Managers in building high-end client materials and commercial proposals and adding to our commercial viability by helping to find the right balance between project profitability and excellence in delivery. Internally, you are an Eki ambassador, mentoring your junior colleagues and actively engaging in transversal topics, such as, thought leadership, innovation streams, knowledge management, and recruitment.About You You are a Data engineer, with hands on experience building data pipelines and comfortable doing so autonomously. You ideally have worked across multiple projects end to end, experience partnering with data scientists or other senior stakeholders, both internally or client-side. You’re looking for the next step and the opportunity to work in a small team You’ll need to have some prior experience of data architecture, engineering, and analytics in a business setting, preferably in a service provider, consulting firm or within a highly regarded global corporation with a strong reputation for analytics. Ideally, you’ll have:· Degree in Computer Science, Engineering, Mathematics, or a related field or prior years industry experience.· Experience in either one or more major cloud (Azure, AWS, GCP) platform architecture, developing data engineering pipelines.· Experience building data products incrementally and integrating and managing data sets from multiple sources.· in key technologies related to data management, (e.g., SQL, Spark, Python),· Familiar in at least some aspects of data management itself, (e.g., governance processes and platforms, data visualization, transformation in data-warehouses or data-lakes)· Ability to apply analytical and creative thought process· Passion for data, extensive knowledge in statistics or applied mathematics, experience with techniques such as Machine Learning You’ll also need:· Cloud Certification is a plus (although there are opportunities to achieve certification once you’re with us)· Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets.· Experience leading large-scale data warehousing and analytics projects.· Experience providing technical leadership and mentor other engineers for the best practices on the data engineering space.· Experience mentoring team members on best practices.· Desire to develop your career within consulting environment. Transversal Skills It’s important that you also have the following:· Excellent communication skills – especially translating complex technical findings into insights and stories for stakeholders (internal and external);· A demonstrated ability to effectively manage multiple project teams;· An ability to work autonomously and be self-motivated;· A team-oriented and collaborative working style, both with clients and within Ekimetrics;· A passion for joining a small team and desire to help the business grow quickly.What we offer:- A generous annual salary package, and a dynamic promotion and salary raise structure- An emphasis on work-life-balance and 20 PTO days per year and holidays- Dynamic environment with a strong culture and great offices- Close-knit team with friendly environment, bi-monthly team events and more- Creative and entrepreneurial start-up environment with vertical and lateral mobility- Best-in-class methodologies and cutting-edge technologies - Unique internal training package with 70 sessions in our Eki.Academy digital platform- Growth to develop a double profile in data science and strategic consulting- Client exposure up to the executive level- Opportunities for international mobility across our three other offices in Paris, London, and Hong Kong Ekimetrics is an equal opportunity employer committed to making all employment decisions without regard to race/ethnicity, gender, pregnancy, gender identity or expression, color, creed, religion, national origin, age, disability, marital status (including domestic partnerships and civil unions), sexual orientation, military veteran status, unemployment status, or other legally protected categories, subject to applicable law. Please note that for this recruitment we follow New York City's mandated vaccine guidelines and do not offer visa sponsorship or transfer.

Job Summary

JOB TYPE

Full Time

INDUSTRY

Business Services

SALARY

$121k-156k (estimate)

POST DATE

09/18/2022

EXPIRATION DATE

03/17/2023

WEBSITE

ekimetrics.com

HEADQUARTERS

LONDON, ENGLAND

SIZE

200 - 500

FOUNDED

2006

CEO

QUENTIN MICHARD

REVENUE

$10M - $50M

INDUSTRY

Business Services

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The job skills required for Senior Data Engineer include Consulting, Communication Skills, Leadership, Innovation, Partnering, etc. Having related job skills and expertise will give you an advantage when applying to be a Senior Data Engineer. That makes you unique and can impact how much salary you can get paid. Below are job openings related to skills required by Senior Data Engineer. Select any job title you are interested in and start to search job requirements.

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The following is the career advancement route for Senior Data Engineer positions, which can be used as a reference in future career path planning. As a Senior Data Engineer, it can be promoted into senior positions as a CAE Designer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Senior Data Engineer. You can explore the career advancement for a Senior Data Engineer below and select your interested title to get hiring information.

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If you are interested in becoming a Senior Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Senior Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

Quotes from people on Senior Data Engineer job description and responsibilities

The Senior Data Engineer builds data processing frameworks that handle the business’s growing database.

03/09/2022: Billings, MT

The Senior Data Engineer owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.

01/05/2022: Melbourne, FL

Create architecture for real-time, big data applications with minimal maintenance effort.

03/23/2022: Benton Harbor, MI

Work with both structured and unstructured data, with focus on ETL (Extract, Transfer, Load) and stabilizing pipelines and code.

01/22/2022: Greenville, MS

Provides successful deployment and provisioning of data solutions to production or other required environments.

01/12/2022: Dothan, AL

Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Senior Data Engineer jobs

Apply for an entry-level data engineer role and gain experience.

02/06/2022: Providence, RI

Earn a bachelor’s degree related to data engineering and begin working on projects.

02/16/2022: Denver, CO

Consider pursuing additional professional engineering or big data certifications.

03/06/2022: Raleigh, NC

Gain knowledge with new data architecture principles and concepts, thorough understanding of layered systems architectures.

01/24/2022: Abilene, TX

Senior data engineers should also have an understanding of other programming languages that help with statistical analysis and modeling, such as Python.

01/02/2022: New York, NY

Step 3: View the best colleges and universities for Senior Data Engineer.

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