Data Engineer Lead

Há 1 mês

Brazil, BR Customertimes Tempo inteiro

About us


Customertimes is a consulting firm that delivers true business transformations through the implementation of salesforce solutions. With more than 15 years of client-focused experience and 4000+ engagements in 63 countries, we are proud to be known as a trusted partner of the world’s leading enterprises.


We don’t just give advice. We deliver tangible business results that help our customers get the maximum value from their technology investments. Headquartered in New York, we have offices in Paris, Toronto, London, Kyiv and soon-to-be in South America


Project Description: The project involves supporting our client, a former part of a multinational conglomerate company that operates in the pharmaceutical, medical devices, and consumer health sector, in rebuilding and establishing its services as an independent company within the healthcare and personal care product domain. The tasks primarily revolve around reconstructing services that were previously maintained by the conglomerate, as well as developing new services from scratch. Specifically, the focus is on areas such as financial reporting and customer data management on a global scale. The selected candidate will lead a team of 5 people located in India and be responsible for either enhancing existing systems or proposing and implementing new solutions.


The ideal candidate for this role should possess a comprehensive background in cloud computing, particularly Azure, with at least a decade of experience, complemented by proficiency in critical data technologies such as Databricks and Azure Data Factory. They should demonstrate expertise in data architecture, with a proven ability to design and implement scalable solutions, alongside strong communication skills to effectively translate technical concepts for diverse stakeholders. Additionally, a solid understanding of customer 360 data concepts and experience in leading teams or projects across multiple regions would be advantageous.


Qualifications:


1. Cloud Computing:

  • 10+ years of experience with cloud platforms, particularly Azure
  • Strong proficiency in Azure Data Factory
  • Familiarity with AWS or GCP is acceptable, with a minimum of 2 years of experience.


2.Data Technologies:

  • Expertise in Databricks for data processing and analytics
  • Familiarity with Snowflake preferred, but any other database experience such as Redshift, BigQuery, Exadata, Teradata, Greenplum, or Vertica is acceptable
  • 5+ years with Python and SQL


3. Data Architecture and Modeling:

  • 10+ years of experience in data architecture and modeling
  • Ability to design and implement scalable and efficient data solutions for Customer 360 in B2B environments, ranging from small supermarket networks to large-scale enterprises like Walmart


4. Communication Skills:

  • Fluent English communication skills, C2 level.
  • Capability to explain technical concepts clearly and concisely, especially in English, with emphasis on simplicity and clarity


5. Leadership and Team Management:

  • Experience leading teams or projects, although the initial role may involve working independently.
  • Capability to manage tasks across multiple regions, such as LATAM and North America
  • Ability to oversee the maintenance and continued development of Customer 360 for B2B clients, ensuring alignment with business objectives and scalability for various client sizes


Responsibilities:


1. Designing Data Ecosystems: Develop and implement robust data architectures and ecosystems to meet current and future analytical challenges for clients.


2. Leading Data Engineering Practices: Lead and manage data engineering teams to ensure the successful execution of projects and initiatives, with a focus on driving excellence in data management and analytics.


3. ETL Architecture and Implementation: Oversee the design and implementation of ETL processes using technologies such as Oracle, Spark, Airflow, and others, ensuring efficient data transformations and workload management.


4. Customer Data Management: Drive initiatives related to Customer 360 data concepts, including data exploration, modeling, and the setup and maintenance of Customer Golden Records and Datamarts.


5. Solution Architecture: Provide expertise in BI/DWH projects, offering solutions for large-scale data warehousing and business intelligence needs, with a focus on scalability and performance.


6. Consulting and Advisory: Offer consulting services on Big Data architecture, advising on methodologies, best practices, and technology selection to optimize data management and analytics capabilities.


7. Team Leadership and Development: Lead and mentor data engineering teams, fostering a culture of innovation, collaboration, and continuous improvement, while ensuring alignment with organizational goals and objectives.


8. Pre-Sale Support: Contribute to pre-sale activities by providing architectural expertise and support in solution design, ensuring alignment with client requirements and business objectives.


9. Cross-Functional Collaboration: Collaborate with cross-functional teams, including sales, marketing, and product development, to align data initiatives with overall business strategies and objectives.


Please submit your CV in English


Benefits and Perks


  • Full-time remote position
  • Personal Development Plan
  • Quality working equipment
  • Work-life balance
  • Flexible work time
  • Paid certification program
  • Vacation, holidays and sick leaves
  • Diverse and multicultural work environment.
  • Competitive salary
  • Referral program



Diversity and teamwork are key in our organization. We pride ourselves on being a team of creative, proactive, and driven people who bring the best to our clients and each other every day.

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