Position: Lead Data Engineer #10233
Company: Lohika
Category: SQL
Experience required: 5y
English level: intermediate

Our customers usually range from startup to high growth and VC backed companies, which drives a culture of acceleration and innovation. We are sure that team extension is the only engagement model, which works best. 
Our customer is one of the biggest fashion accessories retailers. Focused on design, confection, manufacturing, as well as distribution and retail. Multi-branded and fast-expanding with a remarkable presence globally. The main idea is to bring customers closer to the products they need.
Currently we are looking for a team leader for a small team to migrate operational data from regional DWHs into global worldwide representation.
Responsibilities
Creating and maintaining existing ETL processes
Transform raw data (RDBMS, NoSQL) and raw events (Kafka, MQ) into the data that business users can use
Performing end-to-end data flows checks
Optimizing existing data processes, improving the performance and monitoring of existing solutions
Designing DB/DWH schema according to data processing needs
Create new views and improve reporting dashboard
Participate in daily meetings, technical discussions and regular planning sessions
Work in a close contact with team customer, provide technical solutions add value to the product
Troubleshooting problems, maintain integration points (changes in kafka topics, etc)
Manage team, provide day-to-day team and tech leadership
Required Knowledge
Experience in datawarehousing and multi-dimensional database design and development using formal methodologies;
Strong knowledge of SQL (and be passionate about it)
Strong knowledge of 1 of RDBMS (MS SQL, MySQL/MariaDB, Oracle);
Experience with SQL optimization and performance tuning
Experience with Snowflake (or analogs: Presto, DataBricks, BigQuery, RedShift)
Experience in building ETL processes, using ETL tools (Oracle Data Integrator, Talend, SSIS, Pentaho)
Experience with event processing (Kafka, IBM MQ)
Good team player
Upper-intermediate English level
Ability to focus on producing results
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Optional Knowledge
Experience with BI/Reporting tools (Domo, Tableau, Looker, etc)
Hands-on experience with 1 of major cloud service (Azure, GCP)
Java development experience
Basic Linux/Unix skills (user level)
Understanding CI/CD pipelines (Git/Jenkins)
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