Вакансия Data Engineering Tech Lead

2 вакансии
Специализация: Team/Tech Lead
Уровень: Senior
Опыт: 3 года
Уровень английского: Upper-Intermediate
Город: Минск
Размер компании: 70

Delve Deeper! Join one of Inc 5000's fastest-growing companies as a Data Engineering Tech Lead. A top-rated Google Marketing Platform Partner, DELVE is your strategic partner for site-side analytics, campaign management, and advanced marketing science. In this role, you will join an energetic, growing team of analysts, data engineers, and data scientists that drives client growth through a data-driven mindset that converts digital inefficiency into solid ROI.

COVID-19 HIRING: Our recruiting and onboarding activities are virtual during the pandemic, and we’ve transitioned to a work-from-home environment.

Role Background:

As a Data Engineering Tech Lead, your main goal is to connect and organize various client’s data sources using a coherent, manageable and maintainable cloud-based architecture that will allow Cloud Engineers and Data Scientists alike to provide straightforward solutions to business problems. You will join a combination of challenging ad tech data integration projects and energize our growing Data Integration team’s technical leader role.

One of your primary responsibilities will be to build and coach a team of high performing Data Engineers in delivering cloud-based marketing solutions and providing long-life support and maintenance. You will also collaborate with Innovation, Data Science, Web Analytics, and Media Management teams to ensure effective solutions architecture and seamless deployment.

ROLE RESPONSIBILITIES:

  • Lead, coach, and build a team of high performing Data Engineers focused on the delivery of complex cloud-based (mostly in Google Cloud Platform) marketing solutions:

    • scalable, highly performing cloud-based solutions for integrating a variety of raw data sources, serving as a solid foundation for data loading and transformation problems;

    • batch & real-time data integration solutions, ETL processes, automated workflows that ingest data from both internal databases and external sources to manipulate, map, and feed them into staging and dimensional model layers;

    • conceptual, logical, and physical data models, i.e., database architectures and views addressing particular needs of analytics and data science;

  • Design, implement and maintain efficient data engineering delivery process

  • Develop an overarching data governance framework to successfully manage large amounts of data, ensuring compliance with regulations while maintaining data integrity and accessibility

  • Implement industry’s best practices for collecting, transforming, and accessing data. Deliver data integration and synchronization solutions that ensure robust data structures and uncover meaningful insights.

  • Be in constant communication with data science team members and other relevant parties and efficiently and clearly convey results. Communicate with internal and external stakeholders and manage their expectations. Develop expertise and share it with the team members to help grow the team.

QUALIFICATIONS:

  • 5+ years experience managing high volume cloud (GCP preferred, but AWS/Azure acceptable) data environments

  • Evidence of Data Engineering thought leadership

  • Expertise in data warehousing, dimensional modeling, and data architecture

  • Extensive experience with SQL, ETL, ELT, and data transformation techniques and patterns

  • Working experience with OLAP, Dimensional Modeling, Transactional data, normalization

  • Familiarity with bash scripting, workflow automation, Python (preferred) or Java

  • Experience with Agile methodologies

  • Graduate degree in computer science, engineering, or related field

  • Fluency in English and comfort with the client-consultant setting, strong communication and interpersonal skills.

Additional Preferred Qualifications & Experience

  • Experience in a data consultancy managing the execution of project delivery

  • Experience with cloud-based or distributed storages (Google, Azure, Amazon RedShift, S3, Snowflake, etc.) as well as Data Vault modeling, DBA experience

  • Interest in the Big Data ecosystem and frameworks (Apache Beam, MapReduce, Spark, Kafka, and Databricks) would be a strong plus.

  • Familiarity with NoSQL databases (e.g., MongoDB, Cassandra, HBase, Elasticseach) would be a plus.

  • Exposure to machine learning and statistical analysis

  • Knowledge of the marketing technology landscape

  • Google Cloud Professional Certifications

  • Passion for leveraging optimal data structures to improve business processes and support decision making.

  • Focus on providing relevant solutions to the clients’ challenges, which drive productivity, profitability, client satisfaction, or other important business metrics.

  • Ability to deliver high-quality work on time, also under time pressure.

  • Be excited about collaborating daily with your team and other groups while working in a multi-national innovative company.

  • Be eager to help your teammates, share your knowledge with them, and learn from them.

  • Be open to receiving constructive feedback.

Please submit applications with:

1. A one-page description of the most exciting data integration solution you have built.

2. 1-page resume attachment in PDF format.

Shortlisted applicants will be asked for the following before final round interviews:

3. transcripts from all degree-earning colleges/universities

DELVE'S CULTURE:

DELVE is a fast-paced company and we look for collaborative, ambitious, candid, and energetic teammates. We care about our culture and reward creativity and determination.

The ideal candidate should share the core values that are central to our identity:

  • Stay Curious

  • Work Hard

  • No Box Unchecked

  • Show Constructive Candor

  • Don’t be an Asshole

WHAT DELVE OFFERS:

  • All need-based knowledge and feedback to succeed;
  • Access to cutting-edge BI technologies and solutions;
  • Opportunity to work with stakeholders of US companies (Virgin, Nestle, Gerber Life, AT&T, UNICEF, Sony, Hearst, Crocs, and others);
  • Opportunity to study and pass certification exams for Google Marketing Platform (e.g., Google Analytics IQ);
  • English lessons with native speakers;
  • Personal laptop;
  • Highly competitive salary;
  • Performance / Salary review every 6-12 months;
  • Corporate health insurance;
  • Sports compensation.

WORK SCHEDULE:

12:00 pm - 8:00 pm (Mon - Fri). Short Summer Fridays (14.00 - 18.00).

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