Position: Data Analyst
Company: Lohika
Category: Data Analyst
Experience required: 2y
English level: intermediate

Project description:

As an Engineer, you will build distributed data processing solution and highly loaded database solutions for various businesses cases including reporting, product analytics, marketing optimization and financial reporting. Contribute as part of self-organized team of experienced data engineers working in a challenging, innovative environment for our client, creating the foundation for decision-making at a company dealing with billions of events per day.
Investigate, create, and implement the solutions for existing technical challenges. Provide guidance, instruction, direction, leadership to a development team with the purpose of achieving project goals.

Responsibilities:
•	Obtains tasks from the project lead or Team Lead (TL).
•	Ensures that assigned area/areas are delivered within set deadlines and required quality objectives.
•	Provides estimations, agrees task duration with the manager and contributes to project plan of assigned area.
•	Analyzes scope of alternative solutions and makes decision about area implementation based on his/her experience and technical expertise.
•	Addresses area-level risks, provides and implements mitigation plan.
•	Reports about area readiness/quality, and raises red flags in crisis situations which are beyond his/her AOR.
•	Responsible for resolving crisis situations within his/her AOR.
•	Initiates and conducts code reviews, follows code standards, conventions and guidelines.
•	Suggests technical and functional improvements to add value to the product;
•	Constantly improves his/her professional level.
•	Collaborates with other teams.

Requirements (required):
•	3+ years of professional experience
•	University degree in Computer Related Sciences or similar
•	2+ years experience working in data engineering, business intelligence, or a similar role
•	Proficiency in programming languages such as Python, or Java, or Scala
•	2+ years of experience in ETL orchestration and workflow management tools like Airflow, or Oozie
•	Experienced in Database fundamentals, SQL and distributed computing
•	1+ years of experience with the Distributed data/similar ecosystem (Spark, Hive, Presto).
•	Experience working with Snowflake, Redshift, PostgreSQL or other DBMS platforms
•	Excellent communication skills and experience working with technical and non-technical teams

Requirements (optional):
•	Knowledge of reporting tools such as Tableau, Superset, and Looker
•	Comfortable working in fast-paced environment, self-starter and self-organizing