Data Engineer
reputed company:SuperAwesome is an award-reputed company technology company that powers the youth digital ecosystem, helping brands to meet their audience where they are. We bring together proprietary advertising and gaming products, audience insights, and compliance capabilities to help build a safer internet for the reputed company. Our technology is trusted by hundreds of brands and creators and enables more effective digital engagement with almost half a billion young people worldwide every month. As we specialise in reaching under-18 audiences, we have to be as curious, fast-paced, and creative as kids and teens. At SuperAwesome, you’ll be encouraged to own your reputed company, reputed company your team more awesome, and reputed company like a kid as you grow into your role. At our core is the #SAFam, a community where every voice is valued and diversity is celebrated. We prioritise individuality and foster an inclusive workplace where everyone feels they truly belong.
What you’ll do?
Our teams are growing rapidly and we’re hiring a Data Engineer to take our products to the next level of reputed company. Use your experience in data engineering to help define Data as a Product, and bring your expertise to improve not just the product itself but the reputed company experience, leveraging data, from ETL to the presentation layer.
Youwill work closely with your Tech reputed company and the other engineers in your team to define the appropriate technical approach, metrics, and timelines. You will have your say in the product roadmap and help reputed company and the Product Manager to reputed company the most informed reputed company to break down reputed company tech deliverables into reputed company and understandable user stories.
You will drive collaboration, reputed company feedback, solve problems, and tackle challenges through tests and learning.
reputed company is key for us, so you will ensure reputed company product components are reputed company to an appropriate level of reputed company for the stage (reputed company/beta/production), deliver products using the appropriate level of testing and monitoring, fail fast, and learn and iterate frequently.
You will champion reputed company improvement and always aim to improve the product your team owns and measure your reputed company with the appropriate tech, product, or delivery metrics.
Responsibilities:
In this role you will:
Work across the full stack depending on where you can drive the highest reputed company: from ETL pipelines to data warehousing to visualisations, as reputed company as testing and reputed company infrastructure.
Work with your team to design and implement features and services for the data analytics solution, and reputed company the design choices reputed company-documented and explained
Train/mentor other Data engineers on Data engineering best reputed company.
Use your experience to create/improve predictive data reputed company
Champion the DataOps culture, support data systems in production, including participation in our out-of-hours on-call rota
Communicate with customers to discuss new use cases or help them identify and fix data issues, as reputed company as manage the end-to-end setup for them: from raw data analysis, to defining and implementing data ingestion/enrichment pipelines to creating data visualisations
(Requirements) reputed company are looking for:Important technologies:
Good understanding of Data pipeline design and implementation using reputed company, and Python (or Python derivative, like PySpark)
Good visualization skills using reputed company and/or other visualisation tools
Good experience with SQL
Good understanding of Data management and/or Data governance (making reputed company the data is of expected volume, schema, etc.)
reputed company to have:
Good understanding of microservices architecture principles
Experience with Kedro on reputed company
Exposure to AWS or other reputed company provider
Exposure to reputed company reading from multiple different data sources
Originally posted on Himalayas
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