Lead Data Engineer

• Lead the design and development of data engineering solutions, including data pipelines and ETL processes, leveraging your technical expertise.
• Lead and mentor a team of data engineers, providing technical guidance and oversight to ensure high-quality deliverables.
• Accurately estimate time and resources required for new projects.
• Promote a continuous learning and improvement culture, staying up-to-date with industry best practices and emerging technologies.
• Evaluating team performance and providing feedback and coaching.
• Encouraging collaboration and open communication within the team and with other stakeholders.
• Participating in the recruitment process to select new team members.

• Strong technical skills in code review, architecture and data models.
• Experience with designing data pipelines and building ETL processes.
• Passion for continuous learning and improvement.
• Ability to accurately estimate time and resources for projects.
• Ability to manage timelines and deadlines while ensuring high-quality work.
• Excellent communication and collaboration skills.
• Ability to identify and address performance issues and recognize high performers.
• Strong leadership and mentoring skills.
• Experience in recruiting and building a team.

• Minimum English level B2.
• 6+ years of proven experience developing software using an object-oriented or functional language.
• Strong programming skills in Python or Scala/Java.
• Proficiency in SQL and query tuning.
• Solid with distributed computing approaches, patterns, and technologies (Spark/PySpark).
• Deep knowledge of data warehousing principles and modeling concepts (knowledge of data model types and terminology including OLTP/OLAP, (de)normalization, dimensional, star).
• Experience working with Cloud Platforms (GCP, AWS, Azure – any of the listed) and their data-oriented components.
• Experience in modern data warehouse building using modern tools (e.g., Snowflake, AWS Redshift, BigQuery).
• Expertise in the use of any relational databases (e.g., PostgreSQL, MSSQL, MySQL).
• Experience with any tool for orchestration of data flows (e.g., Apache Airflow, Talend, Glue, Azure Data Factory).
• A team player with excellent collaboration skills.

• 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).
• Deep knowledge of Spark internals (tuning, query optimization).
• Experience with data integration and business intelligence architecture.
• Experience with non-relational databases (e.g., MongoDB, DynamoDB).
• Experience with data lakes, data lake houses (Azure Data Lake, Apache Hudi, Apache Iceberg, Delta Lake).
• Experience with stream processing using the current industry standards (e.g., AWS Kinesis, Kafka streams, etc.).
• Distributed computing systems such as Hadoop, Storm, Hive, and Beam;
• 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, Databricks, Talend, Fivetran or similar.
• Experience in data science and machine learning with building Machine Learning models.

• Competitive compensation packages.
• Private health insurance (Medicover), which covers immediate family members.
• AYCM sport pass, providing discounts at various sports facilities in Hungary.
• Interesting tasks and diverse opportunities for developing your skills.
• Free training courses.
• Participation in internal and external thematic events, technical conferences.
• A spacious office in the heart of Budapest (13th district).
• All necessary devices and tools for your work.
• Active corporate life.
• The friendly and supportive atmosphere within the team.
• Free coffee and cookies 24/7.

NIX Solutions