Role- Scala Developer
Location - Amsterdam, Nethrlands
Job Description:
Responsibilities:
1. Lead Data Engineering, Analytics and ML teams
2. Manage internal/external stakeholders at client site
3. Problem-solving attitude, solution mindset with implementation expertise
4. Hands on development work on Scala/Spark, Hadoop, platform operations
5. Bring in growth and expand squads through capablities, forseeing demand and negotiations
6. Hiring talent and grooming them thru upskill/cross-skill
7. Bring in expertise on Strategy, Solutions, Engineering and prepare squad compositions, estimations
8. Institute governance and processes for scale & standardization
9. Run sprint ceremonies as required on Planning, Refinement, Retro and standups
10. Willing to learn new technologies and frameworks & constantly upskill
11. Present concepts, approaches, demos to different stakeholders
Requirement & Skills:
1. 12+ years of proven experience in the Data & Analytics space with complex & high volume data projects as an architect/Lead Engineer
2. In-depth understanding of data structure principles and data platforms
3. Working experience on Modern data platforms which involves Cloud & related technologies, Graph databases
4. Well-versed with the end2end data management philosophies and governance processes
5. Creative problem-solver with strong communication skills
6. Excellent understanding of traditional and distributed computing paradigm
7. Should have excellent knowledge in data warehouse / data lake technology and business intelligence concepts
8. Should have good knowledge in Relational, No-SQL, Big Data Databases and should be able to write complex SQL queries
9. Should have strong implementation experience in all the below technology areas and deep technical expertise in some of the below technologies:
Data integration – ETL tools like IBM Datastage and Informatica. Ingestion mechanism like Flume & Kafka
Data modelling – Dimensional modelling using RDBMS, NO-SQL and Big Data technologies.
Big data – Hadoop eco-system, Distributions like Cloudera / Hortonworks, Pig and HIVE
Data processing frameworks – Scala/python/Spark
Hands-on experience with databases like Oracle, MS SQL Server, NOSQL (HBase / Cassandra, MongoDB)
Data Platform administration for Hadoop, Elastic, Oracle
Exposure to containers, kubernetes, application setup (load balancer), logging, Prometheus