Data & Ai Technical Lead

3 weeks ago


المملكة العربية السعودية, Saudi Arabia BMB Group Full time

**Responsibilities**:
Provide technical leadership in using cutting-edge Data Management & AI technology to bring advanced analytics solutions to our customers

Collaborate with our internal teams (Presales engineers, Business analysts, Data Scientists, Data Engineers) and our customers teams (Business & Data analysts, Business and Process owners) to optimize our customers’ Data analytics ecosystem and accelerate their enterprise automation.

Comfortable in the Collect, store, analyze and visualize data from various sources for specific projects

Be able to query, assess and analyze data sets and take care of the quality and integrity of the available data using smart algorithms and latest big data technologies.

Recommend and ensure implementation of the chosen data & Ai solutions.

Design reusable components, frameworks, and libraries.

Act as the architect driving solutions for Data management & AI platforms.

Initiate Data Strategy and Implement the data management framework from Data ingestion to the Data Lake and Data warehouse to visualization and advanced analytics.

Support the implementation of Solutions and drive to stable state in production.

Provide multiple design solutions and project estimates.

Review technical teams work (analysis, design, coding, integration) and provide feedback relative to best practices, performance improvements etc.

Troubleshoot production support issues post-deployment and come up with solutions as required.

Demonstrate substantial depth of knowledge and experience in a specific area of Big Data, and Data science.

**Requirements**:
7 to 10+ consecutive years in software engineering.

Expertise with SQL writing queries and RDBMS

Expertise in SQL and No-SQL.

Expertise with Data Management technologies (Talend, Informatica or similar technologies)

Expertise with data warehousing technologies (Snowflake, Vertica, Druid, MongoDB and/or similar technologies)

Familiar with statistical modelling.

Expertise in Automated machine learning and MLOps is a plus.

Understanding of big data concepts (Cloudera, MapR, HPE Ezmeral, Hadoop, Hive, HBase, Spark, Kafka, MongoDB and/or MapReduce).

Familiar with batch processing, micro-batch processing and streaming.

Expertise in programming languages such as Python, R, Java and/or similar.

Expertise in microservices and containerization using Kubernetes and Docker.

Familiar with frameworks for data governance, data cataloguing, security and lineage.

Good knowledge of Data & AI technologies & latest trends; familiar with benchmarking and comparative Analysis between different technologies, to select the best fit to the customers’ solution proposition.


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