Data Integration Team Lead

Why we are recommending

• Exness is an international Fintech company that has been operating on the international market for many years.

Responsibilities

As a technical lead:

• Construct the architecture for data integration solutions and ensure it supports business requirements.
• Develop new data solutions (ETLs, pipelines, integration services, batch and stream processing, enrichment services, etc.).
• Maintain current data solutions while building a new data platform. Ensure smooth transition from current architecture to target one.
• Build the infrastructure required for optimal data storing, data processing and data provisioning to customers & possibility to work with data (process, transform, merge, doing ad-hocs, calculate) for external teams.
• Prepare datasets from various sources by request.
• Set up monitorings, define SLA’s, analyse metrics for data delivery and processing.
• Develop build-in data reconciliation solution.
• Assemble large, complex data sets that meet functional / non-functional business requirements (business cases).
• Recommend ways to improve data reliability, efficiency and quality.

As a line manager:

• Lead team members in the creation of high-quality data solutions within agreed deadlines according to the Data Platform Department policies and procedures, including hiring, development, performance review and feedback to the team members.
• Train and integrate new team members and proactively support the continued development of existing team members together with Line manager, L&D manager and HRBP.
• Participate in team goals setting and individual goal setting if needed.
• Inspire and motivate team members by your own example.

The Successful Applicant has

Technical skills:

• Database design with massively parallel processing appliances: Vertica, BigQuery, ClickHouse, PostgreSQL and similar.
• Good knowledge of structured query language (SQL) and query optimization.
• Git DVCS.
• Experience with designing and building ETL pipelines.
• Expert skills in at least one backend programming language: Java (is preferable), Go.
• Experience with streaming technologies such as Kafka, Kafka Streams and data platform technologies such as ClickHouse, MongoDB, Hadoop, Spark.
• Experience of building scalable high availability analytics solutions.
• You share and cultivate DevOps culture (continuous integration, continuous delivery) and Agile mindset.
• You have a “helicopter view” and a broad technical outlook.

Soft skills:

• Excellent communication skills.
• You know how to build relationships with the team to achieve common goals.
• Detail-oriented and passionate about data quality.
• You have ability to work with strict deadlines.
• Spoken and written English — intermediate level.
• Spoken and written Russian — fluent level.

Company offers

• Outstanding conditions for professional growth and development, work in a very fast pace and challenging environment.
• Relocation package for the family and visa support.
• Competitive salary based on the candidate's expectations and internal benchmark.
• New branded corporate Mini Cooper Countryman S for the relocated employee.
• Medical insurance coverage for employees and family members, company fitness center for employees and their spouse.
• Kindergarten/school compensation program.

Useful links

• Blog on Habr: link.