Cloud Data Engineering Delivery Manager - Nexient United States Bookmark Share Print 36 0 0

Listing Description

About your future team
Nexient is on a mission: To rid the world of crappy software, one sprint at a time. 
Every day, our 1000+ Agile developers, designers, and strategists empower each other to find passion in our work while we innovate the world. This culture of teamwork and curiosity is fueled by a product-minded approach to our work, crafting extraordinary custom software solutions and growing careers along the way.
Our clients range from some of America’s favorite brands in retail, healthcare, financial services to fast-emerging disruptors – You might have read about us in the NY Times. We’re also recognized as a Gartner Cool Vendor, HFS Hot Vendor, and America’s leading 100% U.S. Agile software services partner. 
If you’re looking to change the trajectory of your career, make an impact on Day One, develop custom software on the best technology around – and maybe even make people’s lives easier -- then you belong here, with us. 

Delivery Manager (Data engineering) is a highly visible and strategic role in our Data engineering practice. 

Roles and Responsibilities:
  • Building and maintaining optimized and highly available data pipelines to facilitate deeper analysis and reporting.
  • Design and build data processing frameworks that handle the business’s growing database.
  • Works with senior data science leadership as well as other Data and Analytics team members in leveraging data with reporting and scientific tools.
  • Strives to continuously develop new and improved data engineering capabilities.
  • Implement strategies directed at acquiring data and promoting the development of new insights across the business.
  • Owns and extends the business’s data pipeline through the collection, storage, processing, and transformation of large data-sets.
  • Monitor the existing metrics, analyze data, and lead partnership with other Data and Analytics teams in an effort to identify and implement system and process improvements.
  • Develop complex queries for ad hoc business projects, as well as ongoing reporting.
  • Build a metadata system where all available data is maintained and cataloged.
  • Play a major role in the development of reliable data pipelines that translate raw data into powerful features and signals.
  • Designs, architects, implements, and supports key datasets that avail structured and timely access to actionable business insights.
  • Developing ETL processes that convert data into formats through a team of data analysts and dashboard charts.
  • Plays a collaborative role where he works closely with the business’s Data and Analytics teams, gathering technical requirements for exceptional data governance across the department and the business at large.
  • Work with senior data science management and departments beyond the Data and Analytics department in analyzing and understanding data sources, participating in design, and providing insights and guidance on database technology and data modeling best practices.
  • Performance reports and strategic proposals form his gathered knowledge and analyses results for senior data science leadership.
  • Plays an analytical role where he develops and manages scalable data processing platforms that he uses for exploratory data analysis and real-time analytics.
  • Oversee, design, and develop algorithms for real-time data processing within the business and to create the frameworks that enable quick and efficient data acquisition.
  • Retrieves and analyzes data through the use of SQL, Excel, among other data management systems.
  • Build data loading services for the purpose of importing data from numerous disparate data sources, inclusive of APIs, logs, relational, and non-relational databases.
  • Responsibility of contributing to the continual improvement of the business’s data platforms through his observations and well-researched knowledge. 

  • Qualifications:
  • Bachelor’s degree (masters’ preferred) in Computer Science, Applied Mathematics, Engineering, or any other technology related field. An equivalent of this educational requirement in working experience is also acceptable.
  • A candidate for this position must have had at least 8 years of working experience working in a data engineering in a fast-paced environment and complex business setting.
  • Must have a demonstrated experience in building and maintaining reliable and scalable ETL on big data platforms as well as experience working with varied forms of data infrastructure inclusive of relational databases such as SQL, Hadoop, Spark and column-oriented databases such as Redshift, MySQL, and Vertica.
  • Strong SQL application development skills
  • Strong experience with SQL Server, Excel, Tableau, PowerBI, Microsoft SQL Reporting Service (SSRS), scripting languages
  • Must also have had experience in data warehousing inclusive of dimensional modeling concepts and demonstrate proficiency in scripting languages, for example, Python, Perl, and so forth.
  • Demonstrate machine learning experience and experience with big data infrastructure inclusive of MapReduce, Hive, HDFS, YARN, HBase, Oozie, etc.
  • The candidate will additionally demonstrate substantial experience and a deep knowledge of data mining techniques, relational, and non-relational databases.
  • Oversee and manage junior data engineering teams and to ensure effective management, he must be capable of conveying information and instructions clearly down the line to the junior team.
  • Communication skills are imperative in this collaborative role where he will have to interact cross-functionally with non-technical departments.
  • Effective collaborations, with an exceptional ability to convey complex messages in a clear, simplified, and understandable manner.
  • Draft reports and prepare presentations for senior data science leadership. These reports and presentation must be clear, concise, unambiguous, engaging and convincing, which will demand exceptional communication skills
  • Exceptional skills in SQL server reporting services, analysis services, Tableau, Salesforce, integration services, or any other data visualization tools.
  • Must possess an ability to perform complex data analyses with large data volumes.
  • Expert in SQL and have a keen understanding of data models and data warehouse concepts.
  • Must have substantial experience working with big data infrastructure tools such as Python, SQS, and Redshift. A suitable candidate will also be proficient Scala, Spark, Spark Streaming, AWS, and EMR.
  • Will be a result-driven individual, be passionate and a self-starter, be proactive requiring minimal supervision, be highly organized, have an ability to handle multiple tasks and meet tight deadlines, be a creative and strategic thinker, work comfortably work in a collaborative setting, work comfortably with senior departmental leadership, and demonstrate an ability to remain calm during times of uncertainty and stress, inspiring the same in his team.
  • Must be a people person who is able to form strong, meaningful, and lasting connections with others, enabling smooth and continued collaborative relationships, earning him the trust of his juniors who will readily follow in his directives, and gaining the confidence of senior data science leadership.
  • Why Nexient
    As a vital member of our Engineering Practice, you will be part of one of our 100+ small cross-functional teams working side by side with some of the most talented developers, UX designers, analysts, quality engineers, and product managers out there. 
    From Silicon Valley to Ann Arbor, Columbus, and beyond – a career with Nexient will offer you:
    Remote, hybrid, or onsite opportunities: Here, you decide the work arrangement that best suits your needs and preferences.
    Fulfilling and challenging projects: You will be exposed to different scenarios, multiple types of clients, and the most complex business and technology initiatives.
    Access to the most cutting-edge technologies: You’re always going to be advancing your skillset by learning and working with the newest and most relevant technologies available out there.
    A positive and passionate culture: Boring and divided aren’t in our vocabulary. In fact, it’s amazing to see how, despite our exponential growth, the Nexient culture and community stay as warm, diverse, and close as ever.
    Plenty of opportunities for you to explore and grow: We will empower you to dream as big as you want and support you to make your career what YOU want it to be.
    Creative runway: We take pride in encouraging our people to question the status quo.
    Our benefits program includes:
    ·       Medical, dental, and vision coverage
    ·       Generous PTO, plus holidays
    ·       401(k) plan
    ·       Life insurance and short-term & long-term disability
    ·       Maternity leave
    ·       Employee Assistance Program
    ·       Flexible spending accounts
    ·       Health savings account
    Nexient is an equal opportunity employer and considers all applicants without regarding to race, color, religion, citizenship, national origin, ancestry, age, sex, sexual orientation, gender identity, genetic information, physical or mental disability, veteran or marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive environment for all employees. If you need assistance or an accommodation due to a disability, please inform your recruiter so that we may connect you with the appropriate team.

    Listing Details

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    • Incentives: Not Provided


    • Education: Not Provided
    • Travel: Not Provided
    • Telework: Not Provided

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