Company

Technology

SeniorCloudDataEngineer

₹22–35L ~AI est. Bangalore, Karnataka, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Cloud Data Engineer. Skills: Cloud Data Engineering, Big Data, Data Pipelines, Data Architecture”

Industry & Context.

Technology
Problems you'll solve

Tenacious problem solver

Eligibility Requirements

After-hours support

What They're Looking For.

Must Have

Technical BS degree, Computer Science background, Math background, Statistics background, Significant experience Cloud Data Lake, Significant experience Distributed architecture, Significant experience No-SQL architecture, Working knowledge real time data streams, Working knowledge component services, Experience Big Data technologies Azure, Experience Big Data technologies AWS, Experience scaling technologies, Experience improving technologies, Experienced agile methods, Good communications skills, Listening skills, Proven track record delivery cloud data warehouse solutions, Tenacious problem solver

Nice to Have

PhD preferred, Specific ML framework experience, Cloud platform certs

How You'll Work.

Team & Collaboration

Data engineering teams; Architects; Operations teams; Development teams; Business leaders; Technology leaders

Communication Scope

Good communications skills; Listening skills

Process & Methodology

Agile data engineering methods

Full Job Description

Job Overview This is an excellent opportunity for a talented cloud data senior engineer to be part of our company's cloud architecture and position in cloud environments. You will play a strategic role in building and maintaining big data pipelines run in cloud systems. Take technical ownership in the data platform, in terms of delivery. The ideal candidate will have the necessary technology, communication and leadership skills to hands-on manage highly visible and complex projects from start to finish. Must be passionate about data, be a change agent and mentor, and a strong collaborator with the various business and technology leaders. Responsibilities ·        Design and develop high volume data ingestion components and ETL solutions to collect data from various internal and external sources ·        Recommend data governance processes, security standards, and models that will provide architectural guidelines to support the development initiatives ·        Participate in project planning and design sessions and conduct "whiteboard" sessions with data engineering, architects, operations and development team ·        Ensures data quality and controls are in place to support of various data ingestion inflows and outflows processes ·        Manage and use tools in the cloud data warehouse development and deployment such as ETL tools, data quality and cleansing tools, query/reporting tools, OLAP, data mining, etc. ·        Administer the overall data warehouse strategy, architectures and security, definition of data models, all data marts, evaluation of infrastructure components, software, performance and data applications design ·        Research emerging technology trends, new models, vendor solutions and market opportunities to identify potential industry disruptors that could help the organization dominate their position in the market Requirements ·        Technical BS degree, Computer Science or Math / Statistics background highly desired   ·        Significant e

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