071902-Lead Technical Engineer - Tech Lead

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
 
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
  
Click the following link for more information on your rights as an Applicant - http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law
 
 
About Capgemini
 
With 270,000 women and men in nearly 50 countries, Capgemini is a responsible and multicultural global leader. Its purpose: unleashing human energy through technology for an inclusive and sustainable future. As a strategic partner to companies, Capgemini has harnessed the power of technology to enable business transformation for more than 50 years. The Group addresses the entire breadth of business needs, from strategy and design to managing operations. To do this, it relies on deep industry expertise and its command of fast evolving fields such as cloud, data, artificial intelligence, connectivity, software, digital engineering and platforms. In 2020, Capgemini reported global revenues of €16 billion.
 
Visit us at www.capgemini.com. People matter, results count.
PURPOSE OF THE JOB
As a Team Lead, you will build distributed data processing solution and highly loaded database solutions for various businesses cases including reporting, product analytics, marketing optimization and financial reporting. Lead a team of experienced data engineers working on the foundation for decision-making at a company dealing with billions of events per day. Contribute as part of R&D self-organized team working in a challenging, innovative environment for our client.
Investigate, create, and implement the solutions for existing technical challenges. Provide guidance, instruction, direction, leadership to a development team with the purpose of achieving project goals.
Main Tasks And Responsibilities
Coordinates the work of direct subordinates;
Ensures effective communication between all stakeholders related to team’s area of responsibility and deliveries;
Ensure high quality development standards (unit/integration tests, etc.)
Makes team to work according to development process established on the project/within the team to take end-to-end ownership on their AOR and tasks;
Reports about area readiness/quality and raises red flags in crisis situations beyond his/her AOR;
Responsible for resolving crisis situations within his/her AOR;
Participates in software development implementation work;
Prepares functional and design specifications of computer-based systems;
Mentors more junior team members
Ensures the project team is provided with all required technical tools for efficient project delivery;
Responsible for accurate vacation, holiday planning and forecasts of a team according to delivery milestones and releases;
Oversees and evaluates team members’ performance according to established procedures;
Participates in the interview process for the recruitment of new team members.
Required Education And Experience
Must have:
University degree in Computer Related Sciences or similar
7+ years of professional experience
5+ years experience working in data engineering, business intelligence, or a similar role
Proficiency in programming languages such as Python
3+ years of experience in ETL orchestration and workflow management tools like Airflow, or Oozie
Expert in Database fundamentals, SQL and distributed computing
3+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Presto) and/or streaming technologies such as Kafka/Flink.
Experience working with Snowflake, Databricks, Spark, PostgreSQL and/or other DBMS platforms
Excellent communication skills and experience working with technical and non-technical teams
Nice to have:
Knowledge of reporting tools such as Tableau, Sigma, Superset and Looker
Comfortable working in fast paced environment, self starter and self organizing
Databrick/Spark tech stack, Snowflake, Python, PySpark, Spark SQL/SQL must be strong, Airflow, AWS, Presto (good to have)
Look for migration experience from Snowflake to Databrick/Spark pipeline"