The digital platform will serve as a host to Customer Data Utilization and Customer Business Intelligence.
For internal and external customers are currently utilizing disparate systems to track information relevant to, but not limited to, key-to-key operations, profits, and inventory.
Digital platform will include data-lake, data-warehouse, analytical and data-science platform, Customer portal, interactive analytics and KPI dashboards. Information from several siloed systems will be fed via server integration services to a data lake and data-warehouse, which will in turn provide accessible data for Customer Data Utilization and Customer Business Intelligence.

Responsibilities:

• Collaboration with Customers to gather, assess and interpret client needs and requirements

• Analyse structural requirements for new software and applications, translate into specifications to develop solutions.

• Evaluating pros/cons among the identified options before arriving at a recommended solution optimal for the client’s needs.

• Advising on data solutions archirecture, performance, altering the ETL process, providing SQL transformations, API integration, and deriving business and technical KPIs

• Developing and delivering data solutions

• Re-engineering business intelligence processes, designing and developing data models,DWH and Data Lake design.

• Sharing your expertise throughout the deployment and RFP process.

• Installing and configuring information systems to ensure functionality

• Involvement in RFP and pre-sales activities

Requirements:

• Excellent verbal and written communication skills

• Experience gathering and analyzing system requirements, analytical skills

• Experience in Data solution achitecture, design and deployment skills

• Expirience with Microsoft Azure ecosystem

• Experience with AWS ecosystem (EMR,EC2, S3, RDS, Redshift, Aurora, Athena, RDS, PostgreSQL).

• Engineering experience in large data systems on SQL, Hadoop, etc.

• Expertise in Microsoft SQL, Oracle and/or other transactional databases

• Experience with data warehousing.

• Experience with ETL tools, ETL tech designs, Data Flows

• Experience with business intelligence tools,Enterprise Reporting and data visualization tools (PowerBI, Tableau, Qlik etc...) .

• Experience in Data Science and Machine learning,data mining and segmentation techniques

• Experience with NoSQL-based, SQL-like technologies (e.g., Hive, Pig, Spark SQL/Shark, Impala, BigQuery)

• Experience in building Distributed Big Data Solutions including ingestion, caching, processing, consumption, logging & monitoringStrong.

• Development Experience in streaming platforms(Kinesis, Kafka, Spark Streaming, Apache Flink)

• Development Experience in batching platforms

• Proficiency using one or more programming or scripting language such as: Python,Java, Scala, C#.

• 7+ years of relevant work experience required.

• Bachelor's degree in computer science, engineering or related field.

We offer:

• Opportunity for professional self-realization

• Friendly and united team

• days of paid vacation

• 100%-paid sick leave

• Sport-program

• Language courses and other corporate programs

• Medical insurance

• Competitive (official) salary.