Data Engineer Team Lead
1 semana atrás
.LOQR IS LOOKING FOR A DATA ENGINEERAt LOQR, we are "Empowering Digital Lives" together. This has been our vision for the last few years and will continue to be our mark into the future, define our brand, and imprint our position in the Digital Society.We want to make Digital Identity the key to inclusive growth and our driving force in our quest to provide an invisible identity solution, enabling simple digital experiences that solve complex day-to-day challenges, helping our clients shift into the digital world, and embracing digital customers.All these achievements are only possible due to our world-class team which you could be part ofAbout the job:As the leader of the Data Team, you will be responsible for coordinating the data initiatives delivery, helping LOQR enhance profitability, efficiency, and effectiveness by timely producing relevant and coherent analytics & insights.What you'll do:Develop, deploy and maintain a Data Mesh solution to power LOQR's Data Analytics needs; Design streaming orbatch dataflows capable of processing massive quantities of data; Monitor dataflows and underlying systems, promoting the necessary changes to ensure scalable, high-performance solutions and assure data quality and availability; Work closely with the rest of LOQR's teams to deliver a world-class Data Mesh solution.Provide clear guidance/instructions, setting targets and motivating team members; Delegate work and oversee progress towards goals; Monitor and drive team performance, coaching team members and providing constructive feedback that fosters their growth; Manage and coordinate team capacity, delivery and commitment alongside your manager; Exhibit effective communication, problem solving and delegation skills.About you:Graduate degree in Computer Science and/or Computer Engineering; Strong understanding of distributed computing principles and distributed systems; Good understanding of Lambda, Kappa, and Data Lake Architectures; Proficient in data analysis and visualization tools such as Superset and able to provide guidance to the team on creating meaningful data visualizations.Ability to build stream-processing systems, using solutions such as Flink, Spark-Streaming, Kafka Streams, Storm, or similar; Experience with messaging systems, such as Kafka, Pulsar or RabbitMQ; Practice with Relational (SQL) and/or NoSQL Databases; Expertise in one ormore programming languages (Python, Java, Kotlin, Scala, or Javascript); Experience with CI/CD tools and processes; Experience with application containerization (e.G., Docker); Relentless willingness to learn; Proactive with goodorganization skills; Positive approach with ethical conduct; Be kind and ego-free; Agile mindset;Great written and verbal communication skills (Portuguese and English)
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