BI/Data Engineer (L) Offline

Requirements:

• Experince working with BI sphere more than 2 years;

• Experience with DB:

- SQL - 4+ years

- PostgrSQL – 2+ years

• Experience with Python for Data Engineering 2+ years;

• Experience designing and monitoring data pipelines;

• Strong data mining / processing skills;

• Experience in understanding Data Warehouse building principles;

• Hand-on experience in designing data pipelines ETL, ELT, exposing processed data to end users.

Responsibilities:

• Architect, Design and implement ETL pipelines for multiple data sources ingesting massive amounts of data daily;

• Develop and maintain new projects and tools around the data warehouse;

• Optimize, improve, and do refactoring of current applications if deems fit;

• Collaborating with software engineers to capture, format and prepare data for various purposes;

• Report creating in Matabase and Qlick Sense systems for customer.

Will be a plus:

• Working experience with Matabase and Qlick Sense, Tableu systems;

• Experience with ElasticSearch or other NoSQL data stores;

• Experience with streaming based, about real time Data Warehouses, mostly interested in Apache Kafka, KSQL, Spark or similar;

• Familiar with CI / CD using Jenkins pipelines or similar tools;

• Data synchronization tools / processes between heterogeneous data sources (SQL, noSQL, DMS, Debezium, ElasticSearch etc);

• Degree in Data Science, Statistics, Applied Math, Econometrics, Computer Science, or other related fields.

What we offer:

• Competitive compensation depending on experience and skills;

• Long-term employment;

• Medical Insurance;

• Career growth opportunities;

• Compensation for sick leaves and regular vacations;

• English classes with a native speaker.