Middle Data Engineer

The stable development of a specialist is possible only if his team is stable. At NIX, we are looking for Middle Data Engineer, and we are sure that such a specialist will continue to grow professionally and will be able to reach new career heights.

RESPONSIBILITIES: 

• Collaborate with product owners and team leads to identify, design, and implement new features to support the growing data needs.
• Build and maintain optimal architecture 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.
• 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.
• Collaborate with the team to decide which tools and strategies to use within specific data integration scenarios.

WHAT WE EXPECT FROM YOU:

• 3+ years of commercial experience in data engineering.
• Strong programming skills in Python or Scala.
• Solid with distributed computing approaches, patterns, and technologies (Spark, PySpark).
• Experience working with any cloud platform (GCP, AWS, Azure) and its data-oriented components.
• Proficiency in SQL and query tuning.
• Understanding of data warehousing principles and modeling concepts (e.g., knowledge of data model types and terminology including OLTP/OLAP, SCD, (de)normalization, dimensional, star/snowflake modeling, etc.).
• Expertise in the use of any listed relational databases (PostgreSQL, MSSQL or MySQL).
• Experience with the orchestration of any data flows (e.g., Apache Airflow, Prefect, Glue, Azure Data Factory).
• A team player with excellent collaboration skills.
• Minimum English level B2.

WILL BE A PLUS:

• 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 in modern data warehouse building using Snowflake, AWS Redshift or BigQuery.
• Deep knowledge of Spark internals (tuning, query optimization).
• Experience with data integration and business intelligence architecture.
• Experience with data lakes and lake-houses (Azure Data Lake, Apache Hudi, Apache Iceberg, Delta Lake).
• 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 Platforms: Informatica, Databricks, Talend, Fivetran or similar.
• Experience in data science and machine learning with building Machine Learning models.

WHAT WE OFFER:

• A long-term strategy for your development as an expert, together with a team that has almost 30 years of professional experience.
• Participation in large international projects that allow mastering new technologies and domains.
• Educational events and professional training that will help you build a stable career path.
• A flexible reward system where your income will depend on you and your desire to grow.
• A friendly and cozy corporate culture with a minimum level of formality and bureaucracy.
• Ability to join the project remotely.

To start a successful career with NIX, send your resume to  Відправити резюме . We will be happy to overcome new professional challenges together with you!