Adidas

Senior Data Engineer

Job description

Purpose & Overall Relevance for the Organization: Earlier this year, adidas decided to elevate the Data & Analytics function, moving from a tech service to a value-oriented business function that actively and directly impacts adidas’ P&L. The Data & Analytics function will include a Brand Advanced Analytics team, which will work hand in hand with the Global Operations organization on strategically relevant use cases that have the potential to deliver substantial value and redefine the way that the Brand business function operates. For example, the Brand Advanced Analytics team will build data science products to ensure our range is optimized, to build prediction models for our key franchises and Hype drops, to establish best in class pricing models amongst others. Key Responsibilities: • Data Engineering o Build data pipelines to support data science projects following data engineering best practices o Write steps for data quality checks & implement exception handling process o Identify, design, and implement internal operational improvements: automating manual processes, optimizing data delivery, improving data quality, etc o Work with data scientists and analysts to productionize data pipelines and machine learning models, so that they can scale and accommodate various business requirements o Drive collaborative reviews of design, code, test plans and dataset implementation performed by other data engineers in support of maintaining data engineering standards o Ensure information security standards are maintained at all time • Stakeholder management o Partner with the Global Operations business owners, project teams and colleagues at all levels, ensuring their views and requirements are captured o Act as the ambassador for the data product, showcasing the key functionalities, driving adoption, and assuring operational excellence together with IT peers Key relationships • Global Operations project teams • Advanced Analytics Teams, Global BI & BU teams • Other teams within Data & Analytics (e.g., Data assets, data platforms, data governance, market teams) Requisite Education and Experience / Minimum Qualifications: • Education & Professional experience o Bachelor’s degree, preferably in computer science (or the equivalent) o 10+ years’ hands-on experience in developing scalable Big Data applications or solutions on distributed platforms, experience with supply chain and operations data is a plus • Hard skills o Experience in Amazon Web Services (AWS), including S3, EC2, EMR o Experience working with Data warehousing tools, including Dynamo DB, SQL o Experience with Continuous Integration and Automated Test tools such as Jenkins, Artifactory, Git, Ansible o Experience working with Data platforms, including EMR, Data Bricks etc. o Experience working with distributed technology tools, including Spark, Presto, Scala, Python, Databricks, Airflow, Hive, Pig, MapReduce o Working knowledge of big data real time streaming tools, including Spark, Kinesis, Kafka o Experience working in Agile and Scrum development process • Soft skills o Impeccable and to-the-point written and oral communication skills (English) o Comfortable in presenting complex topics to stakeholders o Proven team player who can collaborate across functions and organizations o High resilience and solution-oriented attitude

AT ADIDAS WE HAVE A WINNING CULTURE. BUT TO WIN, PHYSICAL POWER IS NOT ENOUGH. JUST LIKE ATHLETES OUR EMPLOYEES NEED MENTAL STRENGTH IN THEIR GAME. WE FOSTER THE ATHLETE‘S MINDSET THROUGH A SET OF BEHAVIORS THAT WE WANT TO ENABLE AND DEVELOP IN OUR PEOPLE AND THAT ARE AT THE CORE OF OUR UNIQUE COMPANY CULTURE – THE 3CS: CONFIDENCE, COLLABORATION AND CREATIVITY.

    CONFIDENCE allows athletes to make quick decisions on the field, to reach higher. For us at adidas confidence means acknowledging that we don’t have all the answers. But we are willing to take risks, we try new things. And if we fail, then this is part of our learning – it helps us improve.

    COLLABORATION. Every elite athlete relies on partners: coaches, teammates, and nutritionists. We, too, know that we are stronger together. Winning as one team takes open and candid dialogue, inclusiveness and trust in each other’s abilities and talents.

    Being the best sports company in the world takes CREATIVITY. No great athlete succeeds by copying their predecessors’ training plans and strategies. We have to be open to new ideas, explore, gain an edge and stand out. Only then can we succeed.

ADIDAS CELEBRATES DIVERSITY, SUPPORTS INCLUSIVENESS AND ENCOURAGES INDIVIDUAL EXPRESSION IN OUR WORKPLACE. WE DO NOT TOLERATE THE HARASSMENT OR DISCRIMINATION TOWARD ANY OF OUR APPLICANTS OR EMPLOYEES. WE ARE AN EQUAL OPPORTUNITY EMPLOYER.
JOB TITLE:
Senior Data Engineer
BRAND:
adidas
LOCATION:
Gurgaon
TEAM:
Data & Analytics
STATE:
HR
COUNTRY/REGION:
IN
CONTRACT TYPE:
Full time
NUMBER:
468389
DATE:
Aug 1, 2022

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