In a Nutshell:
Gaditek is looking for a Data Engineer for one of our leading global cybersecurity business units. As a Data Engineer, you will be part of our growing team helping us to rapidly evolve our Data Platform to supply the increasingly data-led needs of the business as we expand into new products and new markets. For the right person, this role represents a huge opportunity to shape the data capabilities of a fast-growing, digital-native business, and catapult your career to the next level.
Once you are here, you will:
- Building and managing a highly robust and scalable Data Warehouse/ETL/Event Driven infrastructure and a scalable data pipeline, build and launch new data models and data marts that provide intuitive analytics to the org.
- Ensure we build fault-tolerant systems and processes, where data integrity is king and underpinned by automated data quality monitoring and alerting.
- Constantly look for things to improve, whether fixing recurring problems, delivering small but helpful features, or optimizing for performance and scalability.
- Make sure privacy and data security are first class citizens.
- Document Everything: make sure we have top class and up to date documentation for our entire Data Platform stack.
- Partnering effectively with both business stakeholders and product engineering to deliver high-value BI assets.
- Collaborate: work with key stakeholders and partners to understand and shape requirements and to drive the roadmap for our Data Platform.
What does GADITEK offer you?
Gaditek is home to some of the best talents in the world. We have an unstoppable team of 800+ employees working on our global SaaS brands across the 7 hottest industries, including Cyber Security, Digital Media, Managed Cloud, E-commerce, Fintech, Web.3.0, and Venture Building as a Service.
Gaditek is a Product-based company that is focused on just one thing: keeping you relevant in the market and in this age. The world of tech is moving fast, and we help our global brands meet the ever-changing needs of their customers. We take pride in our diverse, international team and the flexible and full-time opportunities we offer. With millions of customers and over 150+, we can already feel our impact on the world.
Together as one, we dream big, are fun people to work with, and execute big ideas. But we also purposefully find ways to allow our teams to enjoy working together. As a result, we’re among the best companies to work for, with a plethora of benefits and an amazing culture.
Relevant Experience:
- Several years of experience in a data engineering or similar role.
- Strong Database Query skills using Postgres.
- Strong programming experience [Python Preferred].
- Experience with messaging systems (such as RabbitMQ or Kafka).
- Hands on experience working with BI tools, like Power BI, Tableau.
- Experience working with cloud platform (such as AWS, Google Cloud).
- Experience working with public data APIs (such as Google Analytics API, Slack , Facebook API, Twitter API).
- Deep understanding of core OLAP and data warehousing concepts and practices.
- Experience with data privacy issues and management.
- Experience with active management of data quality (including monitoring and alerting).
- Good understanding of the SDLC & CI/CD Pipelines.
- Familiarity with search/classification algorithm is a plus.
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