Big Data Engineer

Ness Digital Engineering designs and builds digital platforms and software that help organizations engage customers, differentiate their brands, and drive revenue growth. Our customer experience designers, software engineers and data experts’ partner with clients to develop roadmaps that identify ongoing opportunities to increase the value of their digital products and services. Through agile development of minimum viable products (MVPs), our clients can test new ideas in the market and continually adapt to changing business conditions—giving our clients the leverage to lead market disruption in their industries and compete more effectively to drive revenue growth.

The ideal candidate will have extensive experience in Java development, plenty of exposure to Hadoop, Kafka, and Flink, outstanding knowledge of fast-moving and large volume data in multi-tiered data and analytics platforms, and great SQL skills.

The role involves the design, development, implementation, and support of a cutting-edge real-time data platform, which includes data streaming, batch processing, a huge data lake, and a blazing fast analytics database.

We are looking for someone who is passionate, motivated, driven, and up for the challenge.

Requirements

• Expertise with Spark, Beam, Kubernetes, Kafka Connect or RabbitMQ.

• Knowledge of Exasol.

• Experience with Oracle ODI, and Confluent Platform.

• Good knowledge of Hadoop Cluster Architecture and hands-on experience within Cloudera Hadoop ecosystems.

• Knowledge of Java scripting language.

Benefits

• A flexible work environment with an opportunity to work remotely
• Modern and spacious office with a city view, fresh fruits, and other perks
• A successful and growing, multi-cultural company with a globally distributed team
• Full health insurance that covers sports, massage, physiotherapist, vaccination, etc.
• Continual professional and personal development through employer-paid trainings and certifications e.g., AWS, English/Latvian language courses, and much more
• Motivating referral policy and if you are lucky, you can get a Grand Prize
• Supplementary vacation days based on seniority level
• Mobile phone expenses coverage
• Car and Bicycle parking place
• And other benefits