Data Engineer

Company Description

We Dream. We Do. We Deliver.

Merkle, a dentsu company, powers the experience economy. For more than 35 years, the company has put people at the heart of its approach to digital business transformation. As the only integrated experience consultancy in the world with a heritage in data science and business performance, Merkle delivers holistic, end-to-end experiences that drive growth, engagement, and loyalty. Merkle’s expertise has earned recognition as a “Leader” by top industry analyst firms, in categories such as digital transformation and commerce, experience design, engineering and technology integration, digital marketing, data science, CRM and loyalty, and customer data management. With more than 16,000 employees, Merkle operates in 30+ countries throughout the Americas, EMEA, and APAC. For more information, visit www.merkle.com. 

Job Description

• Design and implement data ingestion and processing of various data sources using public cloud (MS Azure, AWS, GCP) big data technologies like Databricks, AWS Glue, Azure DataFactory, Redshift, Kafka, Azure Event Hubs, AWS Step Functions, AWS Lambda, Azure Functions etc.
• Collaborate with Business Intelligence consultants and assemble large and complex data sets that meet functional / non-functional business requirements for data lakehouse.
• Support data scientist / analyst teams in deployment and optimization of AI / Machine Learning models and other data algorithms in services like AWS SageMaker or Azure ML.
• Develop data pipelines to provide actionable insights into marketing automation, customer acquisition and other key businesses areas.
• Develop DevOps automation of continuous development / test / deployment processes.
• Document implemented data pipelines and logic in a structured manner using Confluence, plan your activities using Agile methodology in Jira.
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs, like optimizing existing data delivery, re-designing infrastructure for greater scalability, etc.
• Support pre-sales by proposing technical solution and accurate effort estimate

Qualifications

• Experience in building and productionizing big data architectures, pipelines and data sets.
• Understanding data concepts and patterns of big data, data lake, lambda architecture, stream processing, DWH, BI & reporting.
• Experience in a Data Engineer role, who has attained experience using the following software/tools:
  • Experience with big data tools like Hadoop, Spark, Kafka, etc.
  • Experience with object-oriented / functional / scripting languages like Python, Scala, Java, R, C++, Bash, PowerShell etc.
  • Experience with MS Azure (Databricks, Data Factory, Data Lake, Azure SQL, Event Hub, etc.) or AWS (Glue, EC2, EMR, RDS, Redshift, Sagemaker, etc.) cloud services.
  • Implementing large-scale data/events oriented pipelines/workflows using ETL tools.
  • Extensive working experience with relational (MS SQL, Oracle, Postgres, Snowflake, etc.) and NoSQL databases (Cassandra, MongoDB, Elasticsearch, Redis, etc.)
• Strong analytic skills related to working with structured and unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• Experience in setting up and using CI/CD automation tools like Azure DevOps, AWS CodePipeline, etc.
• Person who is precise, well organized, has good communication skill, can adapt to changing circumstances and is not afraid of responsibility for his / her work will do great in this role.

Preferred Skills

• Deep hands-on development experience in MS Azure or AWS environments
• Past experience in delivery of business intelligence projects, using tools like Power BI, Tableau, Qlik Sense, Keboola…
• Working knowledge of message queuing, stream processing, and highly scalable real-time  data processing using technologies like Storm, Spark-Streaming, etc.
• Experience with data pipeline / workflow management tools like AWS Glue, Azure Data Factory, Airflow, AWS Step Functions, NiFi, etc.

Additional Information

Why should you work with us?

• We are cooperating with an all types and sizes of clients from all around the world which allows us to provide a very diverse portfolio of projects and technologies to choose from to our people.
• You will be part of a startup-minded branch of a company with a very strong and stable background of the Swiss/Germany headquarters.
• Your contributions will have a distinct impact on our clients.

And we offer even more:

🏥 Premium package private health insurance (for you, your spouse and children), insured sum of 100.000 EUR/year.

⏰ Flexible working hours and hybrid way of working (work from home and/or work from office)

👩 ⚕️100% paid sick leaves for a period not exceeding 30 calendar days

🎯 Fully covered certifications for technical roles in Salesforce, Adobe, Microsoft etc

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

🏝 25 days of vacation + 3 wellness days + 2 volunteer days

🎁 House of Benefit allowance

🍹 Team events: company parties, after hours gatherings, board games and team buildings

🥪 Snacks, fruits, and sweets in the office

🏀Fit Pass special offer for you and your partner/children

☀Rooftop lounge with an amazing view on whole Belgrade

🌇Office in the heart of Belgrade city centre

🏓Table tennis top, video games, karaoke set

💸 Referral bonus program