Data Engineer

Azada Analytics — Croatia · Posted ~2 days ago

Mid Full-time Remote

Skills

SQL Python Java Scala ETL Data Warehousing Relational Databases Data Pipelines AWS Azure Apache Kafka Apache Spark Snowflake NoSQL

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Summary

Join a technology-focused engineering team to design scalable data platforms, build reliable pipelines, and optimize data systems using modern cloud and big data technologies while collaborating across technical and business teams.

Highlights

Work with modern data technologies, flexible hours, remote work options, professional development funding, competitive compensation, bonuses, and a collaborative engineering culture.

Description

Job description We are seeking a skilled and motivated Data Engineer to join our dynamic team at Azada Analytics. As a Data Engineer, you will play a crucial role in designing, building, and maintaining scalable data architectures that support our data-driven initiatives. You will collaborate with cross-functional teams to ensure data is accessible, reliable, and optimized for various analytical and operational needs. Required Qualifications - Bachelor’s or master's degree in Computer Science, Engineering, Information Technology or a related field. - Experience in building and optimizing data pipelines, architectures, and datasets. - Proficiency in SQL and experience with relational databases - Strong programming skills in Python, Java, or Scala. - Familiarity with ETL frameworks and tools - Experience with data warehousing solutions and concepts. - Strong problem-solving skills and the ability to work independently as well as collaboratively. - Excellent communication skills, with the ability to translate complex data concepts into understandable terms for non-technical stakeholders. - Willingness to continuously learn and adapt to new technologies and methodologies. Preferred Technical Skills Amazon Web Services (AWS), Apache Kafka, Apache Spark, Java, MS Azure, NoSQL, Python, Snowflake, SQL What We Offer - Work alongside a team of experienced and skilled professionals who are experts in the field of data engineering. - Engage in collaborative projects and knowledge-sharing sessions that foster professional growth and innovation. - Work with the latest tools, technologies, and methodologies in data engineering and big data. - Flexible working hours and remote work opportunities. - Funding for conferences, training, and certifications. - A culture that values and supports professional growth, innovation, and continuous improvement. - We offer a highly competitive salary that reflects your skills and experience. - We provide performance-based bonuses to reward exceptional contributions and achievements. Industry IT Services & IT Consulting Employment Type Full-time