Data Engineer_Senior Software Engineer_Technology

Company Description

About Merkle

Merkle, a dentsu company, is a leading data-driven customer experience management (CXM) company that specializes in the delivery of unique, personalized customer experiences across platforms and devices. For more than 30 years, Fortune 1000 companies and leading nonprofit organizations have partnered with Merkle to maximize the value of their customer portfolios. The company’s heritage in data, technology, and analytics forms the foundation for its unmatched skills in understanding consumer insights that drive hyper-personalized marketing strategies. Its combined strengths in consulting, creative, media, analytics, data, identity, CX/commerce, technology, and loyalty & promotions drive improved marketing results and competitive advantage. With more than 14,000 employees, Merkle is headquartered in Columbia, Maryland, with 50+ additional offices throughout the Americas, EMEA, and APAC. 

Job Description

• Collaborate with stakeholders in cross-functional environment to understand business objectives and define problems that can be addressed through machine learning and artificial intelligence.
• Develop and train machine learning and statistical models using programming languages like Python or R and frameworks such as TensorFlow or PyTorch.
• Write and optimize data pipelines to process large amounts of data.
• Apply MLOps practices to manage lifecycle of Machine Learning models throughout projects.
• Write maintainable, reliable, and robust pipelines complete with unit and integration tests.
• Co-lead data initiatives and architect ML systems from scratch.
• Organize work for yourself and other affected consultants in Agile environment.
• Develop dashboards to monitor key data quality and model metrics and set and define alerts.
• Build Machine Learning business cases with business stakeholders.

Qualifications

• Degree in mathematics, engineering, physics, or related discipline.
• 4+ years experience in Data Science or relevant work experience in creating and using advanced ML, time series or deep learning algorithms for regression, classification, forecasting or clustering problems.
• Experience in building and productionizing big data architectures, pipelines and data sets.
• Proficiency in SQL, Python / R, PySpark and Bash scripting.
• Experience with MS Azure services like Databricks, Azure Machine Learning, etc. and AWS service like SageMaker, Redshift and similar cloud services.
• Experience and efficiency with agile methodology.

Preferred Skills

• Ability to exercise motivation and ownership of ML topics.
• Understanding of data modelling and data visualization tools.
• Experience with version control, CI/CD tools and general DevOps practices.
• Working knowledge of message queuing, stream processing, and highly scalable real-time data processing using technologies like Apache Beam, Spark-Streaming, etc.
• Experience with data pipeline / workflow management tools like AWS Glue, Azure Data Factory, Airflow, AWS Step Functions, NiFi, etc.
• Extensive working experience with relational databases and systems like MS SQL, Oracle, Postgres, Snowflake, etc. and NoSQL databases like Cassandra, MongoDB, Elasticsearch, etc

Additional Information

With us, you will become part of:

• An international, amazing team, where you can gain new/relevant experience
• A dynamic and supportive environment where you will never happen to fall into a routine
• Possibility to grow, in accordance with your skills and interests connected with future development
• Start-up agile atmosphere
• Friendly international team of creative minds

We, obviously, offer even more:

⛺ 5 weeks of vacation + 3 wellness days

❤️ 2 Volunteering days to share the kindness of your heart with others

⏰ Flexible working hours and home office

🎯 Fully covered certifications in Salesforce, Adobe, Microsoft, etc.

🎓 Full access to Dentsu Academy, LinkedIn Learning, on-site learning sessions

🐶 Pet friendly offices

💌 Edenred meal and cafeteria points

🍹 Team events: company parties, monthly breakfasts, and pub quizzes

🥪 Snacks, and drinks at the office

💸 Referral bonus programme

💻 Laptop + equipment

📞 Corporate mobile phone subscription