Position: Big Data Engineer
Company: NIX Solutions Ltd.
Category: Data Engineer
Experience required: 2y
English level: intermediate

**MAIN GOALS AND RESPONSIBILITIES:**
- Collaborate with product owners and team leads to identify, design, and implement new features to support the growing data needs;
- Design, build and maintain optimal architecture for real-time streaming and big data analytics to extract, transform, and load data from a wide variety of data sources, including external APIs, data streams, and data lakes;
- Implement data privacy and data security requirements to ensure solutions stay compliant with security standards and frameworks;
- Apply MLOps and DataOps practices in real projects;
- Monitor and anticipate trends in data engineering, and propose changes in alignment with organizational goals and needs;
- Share knowledge with other teams on various data engineering or project-related topics;
- Contribute to the core design of data architecture and implementation plan, define risks;
- Collaborate with the team to decide on which tools and strategies to use within specific data integration scenarios.

**REQUIRED SKILLS:**
- BSc in CS/Mathematics/Statistics/Physics/EE or equivalent experience;
- 2+ years of proven experience developing large-scale software using an object-oriented or a functional language;
- Strong programming skills in Python;
- Proficient with stream processing using the current industry standards (e.g. AWS Kinesis, Kafka streams, Spark/PySpark, Flink, etc.);
- Solid with distributed computing approaches, patterns, and technologies (Spark/PySpark, Kafka is a must. Hadoop, Storm, Hive, Beam as a plus);
- Experience working with Cloud Platforms (GCP, AWS) and their data-oriented components (AWS EMR, AWS Athena, AWS Glue, AWS Redshift, Google BigQuery, Google PubSub, GKE, etc.);
- Proficiency in SQL and query tuning;
- Understanding of data warehousing principles and modeling concepts (Knowledge of data model types and terminology including OLTP/OLAP, (De)normalization, dimensional, star, snowflake modeling, cubes, and graph/NoSQL);
- Experience with Orchestration of data flows (Apache Airflow);
- a team player with excellent collaboration skills;
- English level intermediate+.

**WOULD BE A PLUS:**
- Experience in data science and machine learning with building Machine Learning models;
- Experience with data integration, and business intelligence architecture;
- Deep knowledge of Spark internals (tuning, query optimization);
- Expertise in data storage design principles. Understanding of pros and cons of SQL/NoSQL solutions, their types, and configurations (standalone/cluster, column/row-oriented, key-value/document stores);
- Experience with containerized (Docker, ECS, Kubernetes) or serverless (Lambda) deployment;
- Good knowledge of popular data standards and formats (e.g, JSON, XML, Proto, Parquet, Avro, ORC, etc);
- Experience with Informatica, Talend, Fivetran, or similar.

**WHAT WE OFFER:**
- Large-scale projects;
- Professional, friendly, and supportive team;
- Prospects for career development in a team with a 27-year history;
- Opportunities for professional growth that include participation in thematic events, English courses, certifications, paid participation in the largest industry conferences in the world;
- Comfortable space in the city center, regular team buildings, holidays, and legendary corporate parties;
- Flexible compensation review system;
- Medical, sports and accounting support programs.