Location: Moscow, Moskva RU
Requisition Number: 211576
Provide technical leadership to clients in a team that designs and develops pathbreaking large-scale cluster data processing systems. Mentor sophisticated organizations on large-scale data and analytics and work with client teams to deliver results. Additionally the Software Engineer assists Think Big Analytics establish thought leadership in the big data industry by contributing white papers, technical commentary and representing the company at industry conferences.
- Designing and developing code, scripts and data pipelines that leverage structured and unstructured data integrated from multiple sources
- Software installation and configuration
- Participating in and helping lead requirements and design workshops with our clients
- Developing project deliverable documentation Leading small teams of developers and coordinating development activities
- Mentoring junior members of the team in software development best practices
- Experience with Linux, SQL, NoSQL, relational database design and methods for efficiently retrieving data, strongly desired
- Other duties as assigned
Must have 3-6+ years experience programming in Java, demonstrate proven expertise in production software development. Must be proficient in Linux, SQL, relational database design and methods for efficiently retrieving data. Must also have experience building complex and non-interactive systems (batch, distributed, etc.) Must have strong analytical skills and be a creative problem-solver. Must possess excellent verbal and written communications skills and be a strong team player capable of working in a demanding start-up environment.
Preferred knowledge, skills and abilities:
Prior consulting experience is strongly desired. Proficient in NoSQL is strongly desired. Experience with Hadoop, Hive, Spark, Kafka etc. Dynamic and/or functional languages experience such as Python, Scala. Experience designing and tuning high performance systems and prior experience with data warehousing and business intelligence systems. A professional or academic background that includes mathematics, statistics, machine learning and data mining is a plus. Prior work and/or research experience with unstructured data and data modeling as well as familiarity with different development methodologies (e.g. agile, waterfall, XP, scrum, etc.)
Must be able to travel to client sites at least 30% of the time. Must be able to interact and communicate with the client in meetings. Must be able to write programming code in applicable languages. Must be able to speak\write project documentation in English.
BS or MS in Computer Science (or related field) or equivalent work experience.
Community / Marketing Title: Software Engineer
Job Category: Consulting
Teradata (NYSE: TDC) is the leading multi-cloud data platform company for enterprise analytics, transforming how businesses work and people live through the power of data.
At Teradata, we are leading the data era. As enterprises address today’s digital economy, they are faced with new competition and consumer expectations and are turning to data to power their future. Teradata has worked with the largest companies in the world for 40+ years, bringing our experience and expertise to support global enterprises with their most demanding, mission-critical, complex, and large-scale data needs. Teradata is recognized as a leader in the cloud, data, and analytics spaces by top analyst firms, Gartner and Forrester, and Fortune Magazine as well.
Our connected multi-cloud data platform for enterprise analytics, Teradata Vantage™, is an extremely scalable, secure, and resilient offering that simplifies ecosystems by connecting data and making it easier to uncover insights from across the organization…regardless of where that data resides. With Vantage, we enable companies to modernize their data management, from start to scale. Every day, millions of users benefit from our open data platform. Empowering customers and partners to develop and build how they like, we enable hundreds of business outcomes and solutions, including improving customer experience and profitability, driving operational efficiency, realizing financial transformation, or achieving operational efficiency.
As the world of data grows, we are the leader in enabling the future of connected businesses, powered by data intelligence. We are committed to delivering on this vision by following sustainable business practices and with a strong focus on diversity, equity, and inclusion. We believe that only by embracing diversity of identity, thought, background, expression, and perspective can we solve today’s challenges and reimagine tomorrow’s world.
Location_formattedLocationLong: Moscow, Moskva RU