Senior Data Engineer
ADNOC
United Arab Emirates, Abu Dhabi, AE
منذ 4 يوم
source : WHATJOBS

AIQ is a new joint venture company between ADNOC and Group 42, which focuses on developing artificial intelligence technologies in the United Arab Emirates.

AIQ develops and commercializes AI products and applications for the oil and gas industry. It aims in providing end-to-end solutions by using its data, cloud and talents to develop AI solutions that seek to reduce costs and generate revenue for its clients.

AIQ embodies an innovative and entrepreneurial spirit that embraces challenges to push boundaries and seeks to welcome professionals to its team that share the desire to make meaningful and impactful contributions to its mission.

Always on the cutting edge of technology, AIQ provides its talent all the opportunities to thrive and excel. Working at AIQ includes dealing with massive data sets, an AI infrastructure that is powered by the latest NVIDIA GPU cloud computing platform and access to limitless computing, storage and network resources.

Responsibilities

Develops and maintains scalable data pipelines and builds out new API integrations to support continuing increases in data volume and complexity.

Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization.

Implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.

Writes unit / integration tests, contributes to engineering wiki, and documents work.

Performs data analysis required to troubleshoot data related issues and assist in the resolution of data issues.

Works closely with a team of frontend and backend engineers, product managers, and analysts.

Designs data integrations and data quality framework.

Designs and evaluates open source and vendor tools for data lineage.

Works closely with all business units and engineering teams to develop strategy for long term data platform architecture.

Minimum Qualification

BS or MS degree in Computer Science or a related technical field

Strong analytic skills related to working with unstructured datasets

Experience :

5+ years of Python or other

5+ years of SQL and NoSQL experience

5+ years of experience with schema design and dimensional data modeling

Experience with other programming languages like JavaScript (NodeJs) and Java is a huge advantage

Ability in managing and communicating data warehouse plans to internal clients

Experience designing, building, and maintaining data processing systems

Experience working with either a Map Reduce or an MPP system on any / scale

Key Skills

Hands on experience with Image Processing is a must

Hands on experience with Python and knowledge of Data Science popular libraries like (PyTorch, Tensorflow and OpenCV - either OR)

Experience :

5+ years of Python or other

5+ years of SQL and NoSQL experience

5+ years of experience with schema design and dimensional data modeling

Experience with other programming languages like TypeScript (NodeJs) and Go is a huge advantage

Ability in managing and communicating data warehouse plans to internal clients

Experience designing, building, and maintaining data processing systems

Experience working with either a Map Reduce or an MPP system on any / scale (a plus)

Hands on experience with popular databases, PostgreSQL(must) and MongoDB(optional). Knowledge of geospatial (must)and timeseries DBs (must).

Experience with Docker is a must. Knowledge of devops tools and Kubernetes(preferred) is a plus.

Great understanding of messaging broker concept (is a plus).

Good knowledge on task scheduling techniques (is a plus).

Experience with data pipeline and workflow management tools is desirable (is a plus).

Experience with or knowledge of Agile Software Development methodologies (is a plus)

Excellent problem solving and troubleshooting skills

Process oriented with great documentation skills

Excellent oral and written communication skills with a keen sense of customer service

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