Senior Data Engineer, Python, Snowflake

Stelle nicht auf LinkedIn

🕒 vor 2 Monaten

Jetzt Bewerben

Ähnliche Remote-Jobs finden

E-Mails für Remote-Jobs erhalten

📊 Überprüfen Sie Ihre Lebenslauf-Bewertung für diese Stelle

Verbessern Sie Ihre Chancen auf ein Vorstellungsgespräch, indem Sie Ihre Lebenslauf-Bewertung vor der Bewerbung überprüfen.

Lebenslauf hochladen

3Pillar Global

WebsiteLinkedInAlle Stellen

1001 - 5000 Mitarbeiter

☁️ SaaS

🏢 Unternehmen

🤖 Künstliche Intelligenz

💰 Private Equity Round im 2021-10

SaaS • Enterprise • Artificial Intelligence

3Pillar Global ist ein modernes Unternehmen für Anwendungsstrategie, Design und Engineering, das sich auf die Bereitstellung strategischer Softwareentwicklungsinitiativen für verschiedene Branchen spezialisiert hat. Sie bieten eine Vielzahl von Dienstleistungen an, darunter Anwendungs-Technologie-Strategie, digitales Produkt-Engineering, Daten und Analytik sowie Entwicklung künstlicher Intelligenz. 3Pillar Global konzentriert sich darauf, Organisationen dabei zu unterstützen, ihre kühnen Ideen in bahnbrechende Lösungen umzusetzen, indem sie modernste Technologien wie generative und multimodale KI nutzen. Sie arbeiten mit Partnern und Kunden in mehreren Sektoren zusammen, darunter Gesundheitswesen, Finanzdienstleistungen, Versicherungen, Medien und Informationsdienste, um komplexe technologische Herausforderungen zu lösen und leistungsstarke Ergebnisse zu erzielen.

Beschreibung

• Primarily responsible for analyzing data integrity challenges including investigating, correcting, and monitoring data to help identify and address key data issues. Must be comfortable remedying data integrity issues and identifying root cause analysis by going through the code. • Facilitate effective communication with client project stakeholders regarding project status and recommendations. • Craft client code that is not just efficient, but also performant, testable, scalable, secure, and of the highest quality. • Actively participate in accurate planning and estimation efforts, utilizing project methods and tools. • Proficiently gather requirements and organize/present developed features for clients. • Execute complex activities within the current methodology and quality standards, showcasing success across diverse engagements. • Promote client success across the team by collaborating with engineers, designers, and managers to understand user pain points, anticipate potential problems, and iterate on solutions that drive client success. • Engage in agile software development, including daily stand-ups, sprint planning, team retrospectives, and other governance activities. • Actively participate in the Engineering Practice community, mentoring others through Communities of Practice (CoPs) or on project teams, and supporting the growth of technical capabilities. • Independently drive project delivery within defined architecture, demonstrating autonomy and accountability in all stages from conceptualization to deployment.

🎯 Anforderungen

• Should have worked as Data Engineer for atleast 5 years • Must have atleast 3 years of experience in Snowflake Datawarehouse, SnowPipe, Snowpark and related services • Experience/expertise in the following areas specified below: • - Design and implement scalable backend services and APIs using Python • - Collaborate with cross-functional teams to define and execute on technical requirements • - Optimize system performance and troubleshoot issues • - Stay updated with the latest Python and SQL to drive continuous improvement • Languages: SQL, Python • Skills/Responsibilities: MS SQL Server, Snowflake (data warehouse), Hevo / dbt • Tools: Jira, Bitbucket, Slack/Teams • Good to Have Skills: • - Languages: Javascript • - Skills/Responsibilities: Dynamo DB, AWS Services, Rockset (analytical engine) • Experience in Agile software development methodologies. • Expertise in working with SQL and SQL MS Server • Experience in creating and implementing well-tested, scalable, and performant enterprise-level systems. • Practice and initiative mentoring other engineers and decision-makers throughout the organization. • Proficiency in the English language.