Senior Data Engineer

We know that people are our "greatest asset". Our staff’s professionalism, innovation, teamwork and dedication to excellence have helped us become one of the world’s leading technology companies. It is these qualities that are vital to our continued success. As a Ness employee you will be working on products and platforms for some of the most innovative software companies in the world. The opportunity to evolve your expertise by using new cutting edge technologies will expand your horizons and create an exciting work environment. You’ll also gain enormous knowledge working alongside other highly skilled professionals that will help accelerate your career progression. At Ness we treat our values of rigor, innovation and partnership with the highest priority and they are placed at the very core of our business — to guide us through our daily operations and interactions with our customers. We offer our employees exciting and challenging projects across a diverse range of industries, as well as the opportunity to collaborate with a group of forward thinking, capable partners around the globe.

Requirements

• Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline
• Hands on experience in building big data solution using EMR/Elastic Search/Redshift or equivalent MPP database
• 3+ year of coding experience with modern programming or scripting language (Python, Scala, Java, etc.)
• Advanced SQL and query performance tuning skills
• Database warehouse design experience with one RDBMS, such as MS SQL Server, PostgreSQL, MySQL, or ideally RedShift, S3.
• Knowledge of data management fundamentals and data storage principles
• Hands-on experience in working with any reporting/visualization tools available in the Industry
• Demonstrated strength and experience in data modeling, ETL development at scale and data warehousing concepts
• 3 to 8 years of experience as a Data Engineer, BI Engineer, or related field in a company with large, complex data sources
• Experience working with AWS big data technologies (EMR, Redshift, S3, Glue, Kinesis and Lambda) or equivalent industry tools
• Experience building/operating highly available, distributed systems of data extraction, ingestion, and processing of large data sets
• Experience on working with different SQL/NOSQL databases

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 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