Data Engineer Lead

Job Description

We are supporting a client, formerly part of a multinational conglomerate in the pharmaceutical, medical devices, and consumer health sectors, in reestablishing its services as an independent entity in the healthcare and personal care product domain. The project involves reconstructing services previously maintained by the conglomerate and developing new services, with a focus on global financial reporting and customer data management. Data Engineer Lead  will initially work independently, enhancing existing systems or proposing and implementing new solutions.

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Requirements:

• 10+ years of experience with cloud platforms, particularly Azure;

• Strong proficiency in Azure Data Factory;

• Familiarity with AWS or GCP is preferred, with a minimum of 2 years of experience;

• Expertise in Databricks for data processing and analytics;

• Familiarity with Snowflake is preferred, but any other database experience such as Redshift, BigQuery, Exadata, Teradata, Greenplum, or Vertica is acceptable;

• 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;

• Fluent English communication skills, C2 level;

• Capability to explain technical concepts clearly and concisely, especially in English, with emphasis on simplicity and clarity;

• Understanding of customer and sales data domains, with a focus on Customer 360 for B2B clients;

• Ability to translate business requirements into technical solutions and vice versa;

• Experience leading teams or projects, although the initial role may involve working independently;

• Capability to manage tasks across multiple regions, such as LATAM, India, 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.

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Responsibilities:

• Design data ecosystems: Develop and implement robust data architectures and ecosystems to meet current and future analytical challenges for clients;

• Lead 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;

• 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;

• 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;

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

• 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;

• 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;

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

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What We Offer:

• USD monthly payment;

• 100% remote opportunity;

• 10 business days of paid vacation per year (can be taken after 6 months in Customertimes);

• Up to 10 national holidays (either US or country of residence);

• 5 personal days off (can be taken after 3 months in Customertimes);

• Travel expenses are covered when applicable;

• Referral program;

• Paid certification program;

• Personal development plan (PDP);

• Access to the language learning platform.

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