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data center engineer / specialist

data engineer

DoorDash

<div>
 
 About the Team
 
 
 
 Data is at the foundation of DoorDash success. The Data Engineering team builds database solutions for various use cases including reporting, product analytics, marketing optimization and financial reporting. Team serves as the foundation for decision-making at DoorDash.
 
 
 
 About the Role
 
 
 
 DoorDash is looking for a Software Engineer, Data to be a technical powerhouse to help us scale our data reliability, data infrastructure, automation and tools to meet growing business needs.
 
 
 
 You're excited about this opportunity because you will&hellip;
 
 
 
 <ul>
 <li>
 Own critical data systems that support multiple products/teams
 </li>
 <li>
 Develop, implement and enforce best practices for data infrastructure and automation
 </li>
 <li>
 Design, develop and implement large scale, high volume, high performance data models and pipelines for Data Lake and Data Warehouse
 </li>
 <li>
 Improve the reliability and scalability of our Ingestion, data processing, ETLs, Reporting tools and data ecosystem services
 </li>
 <li>
 Manage a portfolio of data products that deliver high-quality, trustworthy data
 </li>
 <li>
 Help onboard and support other engineers as they join the team
 
 
 </li>
 </ul>
 
 We're excited about you because&hellip;
 
 
 
 <ul>
 <li>
 3+ years of professional experience
 </li>
 <li>
 3+ years experience working in data platform and data engineering or a similar role
 </li>
 <li>
 Proficiency in programming languages such as Python/Kotlin/Scala
 </li>
 <li>
 3+ years of experience in ETL orchestration and workflow management tools like Airflow
 </li>
 <li>
 Expert in database fundamentals, SQL, data reliability practices and distributed computing
 </li>
 <li>
 3+ years of experience with the Distributed data/similar ecosystem (Spark, Presto) and streaming technologies such as Kafka/Flink/Spark Streaming
 </li>
 <li>
 Excellent communication skills and experience working with technical and non-technical teams and knowledge of reporting tools
 </li>
 <li>
 Comfortable working in fast paced environment, self starter and self organizing
 </li>
 <li>
 Ability to think strategically, analyze and interpret market and consumer information
 </li>
 <li>
 You must be located near one of our engineering hubs indicated above
 
 
 </li>
 </ul>
 Notice to Applicants for Jobs Located in NYC or Remote Jobs Associated With Office in NYC Only
 
 
 We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT in NYC. As part of the hiring and/or promotion process, we provide Covey with job requirements and candidate submitted applications. We began using Covey Scout for Inbound from August 21, 2023, through December 21, 2023, and resumed using Covey Scout for Inbound again on June 29, 2024.
 
 
 The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here: Covey
 
 
 
 About DoorDash
 
 
 
 At DoorDash, our mission to empower local economies shapes how our team members move quickly, learn, and reiterate in order to make impactful decisions that display empathy for our range of users&mdash;from Dashers to merchant partners to consumers. We are a technology and logistics company that started by enabling door-to-door delivery, and we are looking for team members who can help us go from a company that is known as the place you order food to a company that people turn to for any and all goods.
 
 
 DoorDash is growing rapidly and changing constantly, which gives our team members the opportunity to share their unique perspectives, solve new challenges, and own their careers. We're committed to supporting employees' happiness, healthiness, and overall well-being by providing comprehensive benefits and perks.
 
 
 
 Our Commitment to Diversity and Inclusion
 
 
 
 We're committed to growing and empowering a more inclusive community within our company, industry, and cities. That's why we hire and cultivate diverse teams of people from all backgrounds, experiences, and perspectives. We believe that true innovation happens when everyone has room at the table and the tools, resources, and opportunity to excel.
 
 
 If you need any accommodations, please inform your recruiting contact upon initial connection.
 
 
 
 We use Covey as part of our hiring and/or promotional process for jobs in certain locations.
 
 
 
 
 The Covey tool has been reviewed by an independent auditor. Results of the audit may be viewed here:
 
 https://getcovey.com/nyc-local-law-144
 
 
 
 To request a reasonable accommodation under applicable law or alternate selection process, please inform your recruiting contact upon initial connection.
 
</div>

Software Engineer, Data Engineer II

Deloitte

<div>
 
 Summary
 
 
 
 
 Position Summary
 
 
 
 
 Artificial Intelligence &amp; Engineering
 
 
 
 AI &amp; Engineering leverages cutting-edge engineering capabilities to help build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions insights are powered by engineering for business advantage, helping transforming mission-critical operations.
 
 
 Join our AI &amp; Engineering team to help in transforming technology platforms, driving innovation, and helping help make a significant impact on our clients' success achievements. You&rsquo;ll work alongside talented professionals reimagining and re-engineering operations and processes that are could be critical to businesses.
 
 
 
 Position Summary
 
 
 
 
 Work you&rsquo;ll do:
 
 
 
 Lead discussions with business and functional analysts to understand requirements and assess integration impacts on business architecture. Prepare technical architecture and design, clarify requirements, and resolve ambiguities. Develop solutions in line with established technical designs, integration standards, and quality processes. Create and enforce technical design and development guides, templates, and standards. Facilitate daily scrum meetings, manage deliverables, and prepare weekly status reports for leadership review. Conduct detailed deliverable reviews and provide technical guidance to team members. Collaborate with onsite clients, coordinators, analysts, and cross-functional teams. Design templates or scripts to automate routine development or operational tasks.
 
 
 
 The team:
 
 
 
 AI &amp; Data offers a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offering helps clients innovate, and enhance their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
 
 
 AI &amp; Data professionals will work with our clients to:
 
 
 <ul>
 <li>
 Design and modernize large-scale data and analytics platforms including data management, governance and the integration of structured and unstructured data to generate insights leveraging cloud, edge and AI/ML technologies, platforms and methodologies for storage, processing
 </li>
 <li>
 Leverage automation, cognitive and AI based solutions to manage data, predict scenarios and prescribe actions
 </li>
 <li>
 Drive operational efficiency by managing and upgrading their data ecosystems and application platforms, utilizing analytics expertise and providing As-a-Service models to ensure continuous insights and enhancements.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 Must Have Skills/Project Experience/Certifications:
 
 
 
 <ul>
 <li>
 3 - 10 years of hands-on experience in technology Consulting experience
 </li>
 <li>
 Experience developing Classes, OOPS, exception handling, parallel processing.
 </li>
 <li>
 Strong knowledge of DB connectivity, data loading, transformation, calculation.
 </li>
 <li>
 Concurrency and error handling data pipeline batch of size [1-10 gb].
 </li>
 <li>
 Ability to understand business requirements and translate them into technical requirements.
 </li>
 <li>
 Ability to design architecture of data pipeline for concurrent data processing.
 </li>
 <li>
 Familiar with creating/designing RESTful services and APIs.
 </li>
 <li>
 Familiar with application unit tests.
 </li>
 <li>
 Working with Git source control Service-orientated architecture, including the ability to consider integrations with other applications and services.
 </li>
 <li>
 Debugging application.
 
 
 </li>
 </ul>
 
 Good to Have Skills/Project Experience/Certifications:
 
 
 
 <ul>
 <li>
 Good Understanding of fundamental design principles behind a scalable application
 </li>
 <li>
 Good Understanding of accessibility and security compliance
 </li>
 <li>
 Familiarity with event-driven programming in Python
 </li>
 <li>
 Proficient understanding of code versioning tools (Git, Mercurial or SVN)
 </li>
 <li>
 Knowledge of PowerShell and SQL Server
 </li>
 <li>
 Good Knowledge of user authentication and authorization between multiple systems, servers, and environments
 
 
 </li>
 </ul>
 
 Education:
 
 
 
 BE/B.Tech/M.C.A./M.Sc (CS) degree or equivalent from accredited university
 
 
 
 Location:
 
 
 
 Bengaluru/Hyderabad/Pune/Chennai
 
 
 
 #AIE2026
 
 
 
 #AI&amp;Data2026
 
 
 
 Our purpose
 
 
 
 Deloitte&rsquo;s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities.
 
 
 
 Our people and culture
 
 
 
 Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ways of thinking, ideas and perspectives, and bring more creativity and innovation to help solve our clients&rsquo; most complex challenges. This makes Deloitte one of the most rewarding places to work.
 
 
 
 Professional development
 
 
 
 At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India .
 
 
 
 Benefits To Help You Thrive
 
 
 
 At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially&mdash;and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you.
 
 
 
 Recruiting tips
 
 
 
 From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters.
 
 
 Requisition code: 322086
</div>

Python Data Engineer-Hyderabad,Bengaluru,Pune,Chennai

Sulzer

<div>
 
 
 Job Role - Data Center Engineer / Specialist
 
 
 
 
 
 
 
 Purpose of the Role
 
 
 
 The Data Center Engineer is responsible for ensuring stable, secure, and efficient operations across on-premises and cloud based infrastructure. This role combines server platform expertise, modern application hosting practices, and strong security awareness to support enterprise grade environments and global IT services. Premises and cloud based infrastructure. This role combines server platform expertise, modern application hosting practices, and strong security awareness to support enterprise grade environments and global IT services.
 
 
 
 
 
 
 
 
 
 Key Responsibilities
 
 :
 
 
 
 Server &amp; OS Platform Management
 
 
 <ul>
 <li>
 Manage, configure, and troubleshoot
 
 Windows Server
 
 and
 
 Linux
 
 systems across virtualized and physical environments.
 </li>
 <li>
 Execute OS level changes, patching, lifecycle upgrades, and configuration adjustments following established Sops. Level changes, patching, lifecycle upgrades, and configuration adjustments following established SOPs.
 </li>
 <li>
 Monitor platform performance, capacity, and health to ensure stable datacenter operations.
 </li>
 </ul>
 
 
 Application Containerization &amp; Modern Hosting
 
 
 <ul>
 <li>
 Deploy, manage, and optimize containerized workloads using technologies such as Docker or Kubernetes.
 </li>
 <li>
 Collaborate with business application, development and infrastructure teams to migrate traditional applications into containerized or cloud-native environments.
 </li>
 <li>
 Ensure consistency of container images, registries, and runtime environments across platforms.
 </li>
 </ul>
 
 
 Cloud Architecture (Azure &amp; Google Cloud)
 
 
 <ul>
 <li>
 Support hybrid cloud architectures including
 
 Azure
 
 and
 
 Google Cloud Platform
 
 , ensuring alignment with organizational cloud strategy.
 </li>
 <li>
 Assist in cloud solution design covering networking, security, IAM, compute, storage, and monitoring.
 </li>
 <li>
 Participate in cloud migration initiatives and continuous improvement of cloud operations.
 </li>
 </ul>
 
 
 Vulnerability &amp; Security Management
 
 
 <ul>
 <li>
 Proactively identify, assess, and remediate vulnerabilities across servers, applications, and cloud environments.
 </li>
 <li>
 Work closely with Information Security to implement required hardening, baselines, and monitoring controls.
 </li>
 <li>
 Ensure server and service compliance with corporate security standards and audit requirements.
 </li>
 </ul>
 
 
 Operational Excellence &amp; Incident Handling
 
 
 <ul>
 <li>
 Provide L2/L3 support for escalated incidents and major operational issues in datacenter and cloud services.
 </li>
 <li>
 Participate in change management, maintenance windows, and service restoration activities.
 </li>
 <li>
 Maintain UpToDate documentation of configurations, architectures, SOPs, and operational guidelines.
 </li>
 </ul>
 
 
 Project &amp; Continuous Improvement Work
 
 
 <ul>
 <li>
 Contribute to infrastructure modernization, cloud programs, automation initiatives, and service optimization projects.
 </li>
 <li>
 Validate new deployments, upgrades, and architectural enhancements to ensure performance and compliance.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 5+ years of working experience in IT, preferably in the Data Center / Cloud Hosting area
 </li>
 <li>
 Strong hands-on experience with
 
 Windows Server
 
 and
 
 Linux
 
 system administration.
 </li>
 <li>
 Understanding of
 
 containerization technologies
 
 (Docker, Kubernetes, container registries).
 </li>
 <li>
 Working knowledge of
 
 Azure
 
 and
 
 Google Cloud
 
 architecture principles (networking, IAM, compute, deployment models).
 </li>
 <li>
 Familiarity with
 
 vulnerability scanning
 
 , remediation workflows, and security baselining.
 </li>
 <li>
 Experience with monitoring tools, server security tooling (e.g., MS Defender), and automation techniques (e.g., PowerShell, Terraform).
 </li>
 <li>
 Fluent in English (written and verbal)
 </li>
 </ul>
 
 
 
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Analytical, proactive, and solution-oriented mindset. oriented mindset.
 </li>
 <li>
 Strong communication and ability to work collaboratively in global teams.
 </li>
 <li>
 Ability to act independently while supporting cross functional projects.
 </li>
 </ul>
 
 
</div>

Data Center Engineer / Specialist

Deutsche Telekom

<div>
 
 Deine Aufgabe
 
 
 
 Wir suchen einen
 
 Data Scientist
 
 mit 6-9 Jahren Erfahrung f&uuml;r die Entwicklung und Implementierung fortschrittlicher Machine-Learning-Modelle zur Reduzierung von Kundenabwanderung und Stornierungen. Diese Rolle beinhaltet die enge Zusammenarbeit mit funktions&uuml;bergreifenden Teams, um pr&auml;diktive L&ouml;sungen zu entwickeln, die gef&auml;hrdete Kunden vor Stornierungsereignissen identifizieren und proaktive Bindungsstrategien erm&ouml;glichen.
 
 
 Der Data Scientist spielt eine Schl&uuml;sselrolle bei der End-to-End-Modellentwicklung, von der Datenexploration und Feature-Engineering bis hin zum Training, der Evaluierung und dem Deployment von Modellen in der GCP-Umgebung. Die Arbeit umfasst die Nutzung gro&szlig;er Datenpipelines mit PySpark, die Entwicklung von ML- und Deep-Learning-Modellen mit Python und PyTorch sowie die Zusammenarbeit mit Data Engineering und Fachbereichen, um Produktionsreife und messbaren Gesch&auml;ftserfolg sicherzustellen.
 
 
 W&auml;hrend der anf&auml;ngliche Fokus auf der Reduzierung von Breitband-Auftragsstornierungen liegt, wird das zugrundeliegende ML-Framework so konzipiert, dass es zuk&uuml;nftige Anwendungen wie Kundenlebenszyklusmanagement, Upsell/Cross-Sell-Prognosen und Servicequali&auml;tsanalysen in verschiedenen Gesch&auml;ftsbereichen unterst&uuml;tzt.
 
 
 
 Aufgaben
 
 
 
 <ul>
 <li>
 Durchf&uuml;hrung von Datenexploration und Feature-Engineering auf gro&szlig;en strukturierten und unstrukturierten Datens&auml;tzen
 </li>
 <li>
 Aufbau und Bewertung pr&auml;diktiver ML- und Deep-Learning-Modelle zur Vorhersage von Kundenverhalten, einschlie&szlig;lich Customer Lifetime Value (CLV), Abwanderung und Konversionsneigung
 </li>
 <li>
 Zusammenarbeit mit Data-Engineering-Teams zur Entwicklung skalierbarer Datenpipelines auf Google Cloud Platform (GCP)
 </li>
 <li>
 Zusammenarbeit mit Produkt- und Engineering-Teams, um Datenmodelle und analytische Frameworks mit Gesch&auml;ftszielen abzustimmen
 </li>
 <li>
 &Uuml;bersetzung analytischer Erkenntnisse in umsetzbare Einsichten zur Unterst&uuml;tzung von Marketing- und Bindungsstrategien
 </li>
 <li>
 Beitrag zu MLOps-Praktiken f&uuml;r kontinuierliche Modellverbesserung und -bereitstellung
 </li>
 <li>
 Unterst&uuml;tzung weiterer datengetriebener Initiativen &uuml;ber die Stornierungsvorhersage hinaus, wie Personalisierung, Kundenbindung und Service-Analytik
 
 
 </li>
 </ul>
 
 Dein
 
 Profil
 
 
 
 
 Wir suchen einen erfahrenen
 
 Data Scientist/ML Engineer
 
 mit 6-9 Jahren Erfahrung zur Entwicklung fortschrittlicher Machine-Learning-Modelle f&uuml;r Kundenabwanderungsreduzierung und Bestellstornierungsvorhersage.
 
 
 
 Muss-Kriterien
 
 
 
 <ul>
 <li>
 6-9 Jahre Erfahrung in Data Science oder Machine Learning
 </li>
 <li>
 Erfahrung mit Datenexploration und Feature Engineering auf gro&szlig;en Datens&auml;tzen
 </li>
 <li>
 Kompetenz im Aufbau und der Evaluierung von pr&auml;diktiven ML- und Deep-Learning-Modellen
 </li>
 <li>
 Erfahrung mit Python f&uuml;r Machine-Learning-Entwicklung
 </li>
 <li>
 Erfahrung mit PyTorch f&uuml;r Deep-Learning-Modelle
 </li>
 <li>
 Kenntnisse in PySpark f&uuml;r umfangreiche Datenpipelines
 </li>
 <li>
 Erfahrung in der Arbeit mit Google Cloud Platform (GCP)
 </li>
 <li>
 F&auml;higkeit zur Zusammenarbeit mit funktions&uuml;bergreifenden Teams
 </li>
 <li>
 Erfahrung mit Modellen zur Vorhersage von Kundenverhalten (Churn, CLV, Conversion-Neigung)
 </li>
 <li>
 F&auml;higkeiten, analytische Erkenntnisse in umsetzbare Gesch&auml;ftseinblicke zu &uuml;bersetzen
 
 
 </li>
 </ul>
 
 
 &Uuml;ber uns
 
 
 
 Unternehmensvorstellung &ndash; T-Systems ICT India Pvt. Ltd.
 
 
 
 
 T-Systems Information and Communication Technology India Private Limited (T-Systems ICT India Pvt. Ltd.)
 
 ist ein zertifizierter Great Place To Work&reg;, der f&uuml;r seine starke mitarbeiterorientierte Kultur und sein Engagement f&uuml;r Mitarbeiterexzellenz anerkannt ist.
 
 
 Als hundertprozentige Tochtergesellschaft der T-Systems International GmbH ist T-Systems India in Pune und Bangalore t&auml;tig, mit einem dynamischen Team von &uuml;ber 4.200 Fachleuten, die weltweit hochwertige IT-Dienstleistungen f&uuml;r Konzernkunden erbringen.
 
 
 T-Systems India spielt eine Schl&uuml;sselrolle in dieser globalen Vision, indem es integrierte, ganzheitliche IT-L&ouml;sungen und branchenspezifische Software liefert, um die Transformation in verschiedenen Branchen voranzutreiben, darunter:
 
 
 <ul>
 <li>
 Automobilindustrie
 </li>
 <li>
 Fertigung
 </li>
 <li>
 Logistik
 </li>
 <li>
 Transport
 </li>
 <li>
 Gesundheitswesen
 </li>
 <li>
 &Ouml;ffentlicher Sektor
 
 
 </li>
 </ul>
 Seit &uuml;ber 25 Jahren steht
 
 T-Systems International GmbH
 
 an der Spitze der digitalen Innovation, treibt den Fortschritt voran und f&ouml;rdert digitalen Optimismus. Als f&uuml;hrender europ&auml;ischer IT-Dienstleister und stolzer Teil der Deutschen Telekom liefert T-Systems transformative Digitalisierungsprojekte, gest&uuml;tzt auf tiefgreifende Expertise in:
 
 
 <ul>
 <li>
 Beratung
 </li>
 <li>
 Cloud
 </li>
 <li>
 KI
 </li>
 <li>
 Cybersicherheit
 </li>
 <li>
 Konnektivit&auml;t
 
 
 </li>
 </ul>
 Mit einer globalen Belegschaft von 26.000 Mitarbeitern in 26 L&auml;ndern setzen wir Branchenma&szlig;st&auml;be in Effizienz, Souver&auml;nit&auml;t, Sicherheit und Zuverl&auml;ssigkeit &ndash; und bef&auml;higen Organisationen, ihr volles digitales Potenzial zu entfalten.
 
 
 Mit einem Jahresumsatz von &uuml;ber 4,0 Milliarden EUR (2024) ist
 
 T-Systems einer der f&uuml;hrenden Partner f&uuml;r digitale Transformation in Europa
 
 , der sich der Gestaltung der Zukunft der Unternehmenstechnologie verschrieben hat.
 
 
 
 Informationen zur Bewerbung
 
 
 
 Bitte beachte: Betr&uuml;gerische Stellenangebote/Jobbetr&uuml;gereien werden immer h&auml;ufiger. Sei vorsichtig bei irref&uuml;hrenden Anzeigen und betr&uuml;gerischer Kommunikation, die im Namen von T-Systems "Angebotsschreiben" gegen eine Geb&uuml;hr ausstellen. Achte auf eine authentische T-Systems-E-Mail-Adresse - XYZ@t-systems.com .
 
 
 Bleib wachsam. Sch&uuml;tze dich vor Rekrutierungsbetrug!
 
 
 Um mehr zu erfahren, besuche: Betrugswarnung
</div>

Data Scientist (m/w/d)

<div>
 
 We are looking for an experienced
 
 Java + Apache Spark Develope
 
 r with 6+ years of hands-on experience in building scalable, high-performance data processing applications. The ideal candidate should have strong expertise in Java, distributed data processing, and big data ecosystems.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design, develop, and maintain scalable data processing applications using
 
 Java and Apache Spark
 
 </li>
 <li>
 Develop batch and real-time data pipelines
 </li>
 <li>
 Optimize Spark jobs for performance, scalability, and reliability
 </li>
 <li>
 Work with large datasets using distributed computing frameworks
 </li>
 <li>
 Integrate Spark applications with Hadoop ecosystem tools (HDFS, Hive, etc.)
 </li>
 <li>
 Collaborate with data engineers, analysts, and cross-functional teams
 </li>
 <li>
 Troubleshoot production issues and ensure high availability
 </li>
 <li>
 Follow best practices in coding, testing, and deployment
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications
 
 
 <ul>
 <li>
 5+ years of experience in
 
 Java development
 
 </li>
 <li>
 Strong hands-on experience with
 
 Apache Spark (Core, SQL, DataFrames, Datasets)
 
 </li>
 <li>
 Good understanding of
 
 Hadoop ecosystem (HDFS, Hive, YARN)
 
 </li>
 <li>
 Experience in writing complex SQL queries
 </li>
 <li>
 Knowledge of distributed systems and parallel processing
 </li>
 <li>
 Experience with REST APIs and microservices architecture
 </li>
 <li>
 Familiarity with version control systems (Git)
 </li>
 <li>
 Strong debugging and performance tuning skills
 </li>
 </ul>
 
 
 
 
 
 Preferred Skills
 
 
 <ul>
 <li>
 Experience with
 
 Spark Streaming / Structured Streaming
 
 </li>
 <li>
 Knowledge of
 
 Kafka
 
 for real-time data processing
 </li>
 <li>
 Cloud experience (AWS / Azure / GCP)
 </li>
 <li>
 Experience with Docker/Kubernetes
 </li>
 <li>
 CI/CD pipeline exposure
 </li>
 <li>
 Understanding of data warehousing concepts
 </li>
 </ul>
 
 
 
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or related field
 </li>
 </ul>
 
 
 
 
 
 Soft Skills
 
 
 <ul>
 <li>
 Strong problem-solving skills
 </li>
 <li>
 Good communication and stakeholder interaction
 </li>
 <li>
 Ability to work in Agile/Scrum environment
 </li>
 </ul>
 
 
</div>

Java Software Engineer

JumpCloud

<div>
 
 
 All roles at JumpCloud are Remote unless otherwise specified in the Job Description.
 
 
 
 
 
 About JumpCloud
 
 
 JumpCloud&reg; delivers a unified open directory platform that makes it easy to securely manage identities, devices, and access across your organization. With JumpCloud, IT teams and MSPs enable users to work securely from anywhere and manage their Windows, Apple, Linux, and Android devices from a single platform. JumpCloud is IT Simplified.
 
 
 
 
 
 
 
 
 
 
 Do you enjoy solving challenging problems using the latest technologies within a great team? Is knowing your work will be highly visible and mission critical a key component for the next step in your career? At JumpCloud, we&rsquo;re looking for best-in-class talent to help define the future of modern identity and device management from the ground up.
 
 
 
 
 
 
 
 About the Role:
 
 
 JumpCloud is looking for
 
 
 an experienced Senior Software Engineer
 
 (L4) to join our growing Security Engineering organization.
 
 
 
 
 
 
 As the identity landscape evolves, we are expanding our capabilities in
 
 
 Identity Threat Detection &amp; Response (ITDR
 
 ). You will be a key technical leader in building the next generation of our active defense platform&mdash;ingesting high-volume risk signals, analyzing threats in real-time, and automating the response to stop attacks. This role sits at the intersection of
 
 
 Distributed Systems, Data Engineering, and Cybersecurity
 
 . You will bridge the gap between "Raw Data" and "Actionable Intelligence," building the infrastructure that powers our future Machine Learning models and empowers SOC analysts to hunt threats.a
 
 
 
 
 
 
 What you&rsquo;ll be doing:
 
 <ul>
 <li>
 
 Technical Leadership &amp; Architecture:
 
 Lead the high-level architecture and low-level design of new Go microservices. You will break down complex requirements, mentor other engineers, and collaborate with senior technical leaders to manage technical debt and feature detailing
 </li>
 <li>
 
 Build the Decision Engine:
 
 Architect the services that consume data from our risk engine (Kafka) and determine the appropriate system response in milliseconds. You will build modular components that can be shared internally
 </li>
 <li>
 
 "Think Like a SOC Analyst"
 
 : You will design API responses and data structures that provide deep context (scores, lineage, threat details) so IT Admins can investigate incidents without guessing
 </li>
 <li>
 
 Prepare the Runway for ML:
 
 &nbsp; Utilise Machine learning concepts to harness the inhouse data to build solutions for IT Admins.&nbsp;&nbsp;
 </li>
 <li>
 
 Operational Excellence:
 
 Own your services in production. You will define SLIs/SLOs, manage database performance (Postgres/Redis), ensure high availability, and perform upgrades to keep up with modern security best practices
 </li>
 <li>
 
 Strategy &amp; Collaboration:
 
 Partner with the Platform Engineering team to define data contracts. You will help shape the future of our Identity Management services roadmap by participating in planning conversations with Product Managers
 
 </li>
 </ul>
 
 
 
 
 We&rsquo;re looking for:
 
 <ul>
 <li>
 
 8+ years
 
 of backend software development experience
 </li>
 <li>
 
 Expert Proficiency in Go (Golang)
 
 : You understand concurrency patterns, memory management, and how to build services that scale
 </li>
 <li>
 
 Event-Driven Architecture
 
 : Proven experience building systems that consume and produce messages via Kafka, Kinesis, or SQS
 </li>
 <li>
 
 Stream Processing:
 
 Experience with Apache Flink or Spark Streaming
 </li>
 <li>
 
 Database Fluency:
 
 Experience modeling data in both Relational (Postgres) and NoSQL (Redis/DynamoDB) stores
 </li>
 <li>
 
 Cloud Native:
 
 Deep experience with AWS services (Lambda, ECS/EKS) and Infrastructure-as-Code (Terraform)
 </li>
 <li>
 
 ML Infrastructure Interest
 
 : You don't need to be a Data Scientist, but you have a working interest in MLOps or Model Serving. You are excited about building the "pipes" that put ML models into production
 
 </li>
 </ul>
 
 
 
 
 Bonus Points:
 
 <ul>
 <li>
 
 SOC / SIEM Empathy
 
 : Experience building tools for Security Operations Centers. You understand concepts like "False Positive Fatigue," "Triage," and "Incident Context
 </li>
 <li>
 
 Security &amp; Identity
 
 : Exposure to authentication standards (OAuth, OIDC, SAML) or experience building logic for Fraud/Risk engines
 </li>
 <li>
 
 Integrations:
 
 Experience integrating with third-party threat feeds (e.g., GeoIP, IP Reputation)
 
 </li>
 </ul>
 
 
 
 
 
 
 
 
 
 
 
 
 Where you&rsquo;ll be working/Location:
 
 
 JumpCloud is committed to being Remote First, meaning that you are able to work remotely within the country noted in the Job Description.
 
 
 
 
 
 
 
 You must be located in and authorized to work in the country noted in the job description to be considered for this role.&nbsp;
 
 
 
 
 
 Please note: There is an expectation that our engineers participate in on-call shifts. You will be expected commit to being ready and able to respond during your assigned shift, so that alerts don't go unaddressed.
 
 
 
 
 
 
 
 Language:
 
 
 JumpCloud has teams in 15+ countries around the world and conducts our internal business in English. The interview and any additional screening process will take place primarily in English. To be considered for a role at JumpCloud, you will be required to speak and write in English fluently.&nbsp; Any additional language requirements will be included in the details of the job description.
 
 
 
 
 
 
 
 Why JumpCloud?
 
 &nbsp;
 
 
 
 If you thrive working in a fast, SaaS-based environment and you are passionate about solving challenging technical problems, we look forward to hearing from you! JumpCloud is an incredible place to share and grow your expertise! You&rsquo;ll work with amazing talent across each department who are passionate about our mission. We&rsquo;re out of the box thinkers, so your unique ideas and approaches for conceiving a product and/or feature will be welcome. You&rsquo;ll have a voice in the organization as you work with a seasoned executive team, a supportive board and in a proven market that our customers are excited about.&nbsp;&nbsp;
 
 
 
 
 &nbsp;
 
 
 
 
 One of JumpCloud's three core values is to &ldquo;Build Connections.&rdquo; To us that means creating " human connection with each other regardless of our backgrounds, orientations, geographies, religions, languages, gender, race, etc. We care deeply about the people that we work with and want to see everyone succeed." - Rajat Bhargava, CEO
 
 
 
 
 &nbsp;
 
 
 
 
 Please submit your r&eacute;sum&eacute; and brief explanation about yourself and why you would be a good fit for JumpCloud.&nbsp; Please note JumpCloud is not accepting third party resumes at this time.&nbsp; &nbsp;
 
 
 
 
 &nbsp;
 
 
 
 
 JumpCloud is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
 
 
 
 
 
 
 
 
 Scam Notice:
 
 
 
 
 
 Please be aware that there are individuals and organizations that may attempt to scam job seekers by offering fraudulent employment opportunities in the name of JumpCloud. These scams may involve fake job postings, unsolicited emails, or messages claiming to be from our recruiters or hiring managers. Please note that JumpCloud will never ask for any personal account information, such as credit card details or bank account numbers, during the recruitment process. Additionally, JumpCloud will never send you a check for any equipment prior to employment.
 
 
 
 
 
 
 
 All communication related to interviews and offers from our recruiters and hiring managers will come from official company email addresses (@jumpcloud.com) and will never ask for any payment, fee to be paid or purchases to be made by the job seeker. If you are contacted by anyone claiming to represent JumpCloud and you are unsure of their authenticity, please do not provide any personal/financial information and contact us immediately at recruiting@jumpcloud.com with the subject line "Scam Notice"&nbsp;
 
 
 
 
 &nbsp;
 
 
 
 
 #BI-Remote
 
 
 
 
 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, transcribing or summarizing interviews, and assessing responses. These tools assist our recruitment team but do not replace human judgment in hiring decisions, which are ultimately made by humans. Please see our Privacy Policy[hyperlink] for more information about our personal data practices.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
</div>

Senior Software Engineer, ITDR - India

Johnson & Johnson MedTech

<div>
 At Johnson &amp; Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at jnj.com.
 
 
 As guided by Our Credo, Johnson &amp; Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson &amp; Johnson, we respect the diversity and dignity of our employees and recognize their merit.
 
 
 
 Job Function
 
 
 
 Data Analytics &amp; Computational Sciences
 
 
 
 Job Sub Function
 
 
 
 Business Intelligence
 
 
 
 Job Category
 
 
 
 Professional
 
 
 
 All Job Posting Locations:
 
 
 
 Pune, Maharashtra, India
 
 
 
 Job Description
 
 
 
 
 Job Description- Sr. Analyst - Data &amp; Analytics
 
 
 
 We are seeking a highly motivated Sr Analyst to join our team of analytics experts in the MedTech Commercial Data &amp; Analytics team. The candidate will primarily work on shaping the data architecture, implement data engineering solutions and support data quality/management for global commercial data lake. This role is also responsible for operations and driving efficiencies. Candidate should be a strong team player and have a consultative approach to problem solving.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Engage and collaborate with business stakeholders to gather and analyze their requirements and translate them into technical specifications for data solutions.
 </li>
 <li>
 Design and construct effective and reliable data engineering solutions with end-to-end project responsibility by closely liaising with business analytics and visualization team
 </li>
 <li>
 Implement data quality checks and testing protocols to ensure the accuracy and reliability of data. Perform integration tests for data pipelines and frameworks, ensuring all elements are rigorously vetted prior to deployment
 </li>
 <li>
 Collaborate with data management teams to ensure right metadata management and data lineage
 </li>
 <li>
 Manage and own weekly, monthly and quarterly data operations activities with necessary due diligence; develop solutions to improve data quality
 </li>
 <li>
 Identify continuous improvement opportunities for the data solutions with focus on performance, scalability and maintainability
 </li>
 <li>
 Maintain high standards for insight generation, data quality, reporting, and timely project execution
 </li>
 <li>
 Communicate, at scale, through multiple mediums &ndash; presentations, dashboards, data-sets and more
 </li>
 <li>
 Maintain documentation on data architecture, solutions and processes
 
 
 </li>
 </ul>
 
 Minimum Qualifications
 
 
 
 <ul>
 <li>
 A Bachelors&rsquo; degree in computer science, engineering or equivalent is required
 </li>
 <li>
 5+ years working experience in any data engineering and analytics related roles
 </li>
 <li>
 5+ Years of advanced SQL skills
 </li>
 <li>
 2+ Years of Python development experience
 </li>
 <li>
 3+ years experience with Data Modeling
 </li>
 <li>
 Experience analyzing data to discover opportunities and address gaps independently.
 </li>
 <li>
 5+ years experience in custom ETL design, implementation and maintenance.
 </li>
 <li>
 Experience working with cloud platform (i.e. AWS, Azure, or similar)
 </li>
 <li>
 Experience with SQL performance tuning and E2E process optimization.
 </li>
 <li>
 Experience managing cloud infrastructures is preferred
 </li>
 <li>
 Exposure to data science landscape is a plus.
 </li>
 <li>
 Global experience a plus
 </li>
 <li>
 Proven ability to work collaboratively with colleagues across functional areas to deliver results
 </li>
 <li>
 Effective communication &amp; presentation skills. Growth mindset to learn across breadth and depth of technology stacks.
 
 
 </li>
 </ul>
 Johnson &amp; Johnson is an Affirmative Action and Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, or protected veteran status and will not be discriminated against on the basis of disability.
 
 
 
 Required Skills
 
 
 
 
 Preferred Skills:
 
 
 
 Advanced Analytics, Analytical Reasoning, Business Behavior, Business Intelligence (BI), Cross-Functional Collaboration, Data Analysis, Data Integration, Data Modeling, Data Privacy Standards, Data Reporting, Detail-Oriented, Management Systems Implementation, Problem Solving, Process Oriented, Project Management, Statistical Analysis Systems (SAS) Programming, Workflow Analysis
</div>

Sr. Analyst - Data & Analytics

Explore 55+ Data engineer in Pune this February. Find roles across top companies and apply now to boost your career.