Data Engineer

Summary

Join Dataroid, Turkey's fastest-growing data analytics platform, as a Data Engineer. You will design and build large-scale, resilient data pipelines using various frameworks. This role requires experience in data engineering, data modeling, and ETL/ELT practices, along with proficiency in Python or Java. Dataroid offers a competitive compensation package including private health insurance, pension plans, meal vouchers, remote work benefits, and flexible working hours. Opportunities for professional development and a thriving company culture are also provided.

Requirements

• BSc/MSc/PhD degree in Computer Science or a related field or equivalent work experience
• 2+ years of experience in Data Engineering or similar role
• Experience with data modeling and ETL/ELT practices
• Experience with one or more high-level Python or Java based batch and/or stream processing frameworks such as Apache Spark , Apache Flink or Kafka Streams
• Experience with relational and non-relational data stores, key-value stores and search engines ( PostgreSQL , ScyllaDB , Druid , ClickHouse , Redis , Hazelcast , Elasticsearch etc.)
• Familiarity with data workflow orchestration tools like Airflow or dbt
• Knowledge of storage formats such as Parquet , ORC and/or Avro
• Proficiency with Python or Java
• Proficiency in code versioning tools such as Git
• Strong sense of analytical thinking and problem-solving skills
• Strong verbal and written communication skills

Responsibilities

• Design and build large-scale resilient data pipelines using various frameworks like Apache Spark, Apache Flink, Kafka etc
• Write well designed, reusable, testable, secure and scalable high-quality code
• Collaborate with cross-functional teams
• Discover, learn and implement new technologies

Preferred Qualifications

• Familiarity with distributed storage systems like HDFS and/or S3
• Familiarity with data lake and data warehouse solutions including Hive , Iceberg and/or Delta Lake
• Familiarity with distributed systems and concurrent programming
• Familiarity with containerization & orchestration - Docker and/or Kubernetes
• Experience or willing to learn large scale stream processing technologies
• Familiarity with generative models and a strong enthusiasm for generative AI, large language models (LLMs) and the agentic world
• Prior experience with SCRUM/Agile methodologies

Benefits

• Private health insurance
• Company-supported pension plans
• Meal vouchers
• Commute assistance
• Remote work benefits
• A paid day off for your birthday
• Adaptable working hours
• Access to premier online learning platforms like Udemy, digital libraries, and tailored training programs