Data Engineer

Intellicus

Intellicus is a Big Data BI & Analytics Product company. We simplify the exploration, analysis and visualization of big data for world's largest companies. We are the first company to innovate OLAP on Big Data.

Intellicus is a provider of BI and Analytics products to Fortune 500 companies for more than a decade. It has created a footprint of over 12,000+ installations across the world and is growing. More than 60% of the Fortune 500 companies have chosen Intellicus product over competitors because of its strong emphasis on product engineering and innovation.

We want great colleagues with the right mix of aptitude and attitude in this journey of growth. Intellicus thrives on DNA of openness and collaboration, encourages every individual to contribute towards the success of the entire organization. Needless to say, tendency to challenge the routine and the ability to expand horizons are considered strong virtues.

Kyvos Insights

Kyvos is a semantic intelligence platform that accelerates every BI and AI initiative. The platform's ultra-wide and deep data models deliver lightning-fast analytics at infinite scale, accuracy and maximum savings. It offers high-performance storage for structured or unstructured data and trusted data for AI applications.

The infrastructure-agnostic platform is critical for any modern data or AI stack, whether on-premises or on cloud. Leading enterprises use Kyvos as a universal source for conversational analytics, faster insights, unified access and scalable performance.

For more information, visit us at www.kyvos.io or connect on Twitter and LinkedIn.

Job Description

Requisition Description:

1. Experience in writing and troubleshooting SQL queries
2. Proficient in database and Data warehousing concepts.
3. Proven hands-on experience in designing, developing, and supporting Database projects for analysis
4. Good written and verbal communication skills.
5. Knowledge and/or experience of the following will be added advantage -

• MDX/ DAX
• Database design techniques
• Data modeling
• SSAS
• Spark processing
• Hadoop ecosystem or AWS, Azure, or GCP Cluster and processing
• Hive
• Redshift, or Snowflake
• Linux system
• Tableau, Micro strategy, Power BI, or any BI tools
• Programming on Python, Java, or Shell Script

Roles and Responsibilities:

• Interact with senior-most technical and businesspeople of large enterprises to understand their analytics strategy and their problem statements in that area.
• Understand Customer domain and database schema
• Designing OLAP semantic models and dashboards
• Be the go-To person for customers regarding technical issues during the project
• Efficient task status reporting to stakeholders and customers
• Be willing to work on off hours to meet the timeline.
• Be willing to travel or relocate as per project requirement
• Be willing to work on different technologies