Nokia Hybrid Jobs Recruitment: Nokia is hiring a Data Engineer for a hybrid role. Join our dynamic institution to format, construct, and maintain scalable data pipelines and architectures. You’ll work with big records technology, cloud platforms, and databases to stress records-driven selection-making. Collaborate with pass-beneficial organizations to optimize ordinary performance and make certain facts integrity. Ideal applicants have experience in SQL, Python, Spark, and cloud offerings (AWS, Azure, or GCP). Grow your profession with cutting-edge technology at Nokia. Apply now!
- Job Description: Nokia Hybrid Jobs Recruitment
- Position: Data Engineer
- Company: Nokia
- Salary: Not Disclosed
- Location: Bengaluru (Hybrid)
- Qualification: Any Graduate
About Company:
Nokia is a global leader in telecommunications, networking, and generation innovation. Founded in 1865, the corporation has developed from a paper mill to a pioneer in 5G, cloud computing, and IoT. With a sturdy willpower to connectivity, sustainability, and virtual transformation, Nokia offers cutting-edge solutions for telecom operators, institutions, and governments internationally. Its portfolio consists of network infrastructure, software programs, AI-driven automation, and cybersecurity. Headquartered in Finland, Nokia operates in over 130 international locations, using innovation via R&D, open collaboration, and a future-equipped era. With a focal point on agreement, reliability, and excellence, Nokia continues shaping the future of world communications.
Nokia Hybrid Jobs Recruitment Job Description:
A Data Engineer designs, builds, and optimizes information pipelines, databases, and architectures to allow inexperienced records processing and analytics. They use massive statistics technology, cloud systems (AWS, Azure, GCP), SQL, Python, and Spark to ensure scalable and dependable record solutions. Responsibilities include fact modeling, ETL improvement, basic performance tuning, and integrating various information resources. They collaborate with information scientists, analysts, and software engineers to manual records-driven desire-making. Strong problem-solving abilities, knowledge of statistics protection and governance, and enjoyment of real-time and batch processing are crucial. Data Engineers play an important position in making data available, organized, and valuable.
Key Responsibilities of a Data Engineer:
A Data Engineer performs a critical position in handling, optimizing, and remodeling facts into treasured insights for companies. The position needs know-how in constructing scalable information pipelines, making sure information integrity, and running collaboratively with awesome groups. Below are the critical issue duties in the element:
1. Developing and Maintaining Scalable Data Pipelines: A Data Engineer is responsible for designing, developing, and retaining scalable information pipelines on cloud-based systems like Azure and Databricks. These pipelines ensure the efficient series, transformation, and garage of records from multiple assets, enabling seamless statistics integration for analytics and choice-making.
2. Designing and Implementing Data Models: To manual analytical reporting and system mastering use times, Data Engineers create properly-primarily based statistics models. This includes defining data schemas, installing area relational and non-relational databases, and optimizing information garage for fast retrieval and processing.
3. Optimizing and Automating Data Workflows: Efficiency is key in fact processing. A Data Engineer specializes in automating information workflows, reducing guide intervention, and optimizing gift pipelines to address growing records volumes without overall performance bottlenecks. This includes implementing ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) techniques for seamless records processing.
4. Collaboration with Cross-Functional Teams: A Data Engineer works closely with information scientists, analysts, and software program engineers to ensure the delivery of smooth, set up, and high-quality facts. This collaboration is vital for building device mastering models, generating critiques, and growing corporation intelligence answers.
5. Ensuring Data Integrity, Security, and Compliance: Maintaining information integrity and security is a top priority. The Data Engineer guarantees that all statistics practices follow Nokia’s regulations, in addition to employer policies like GDPR and HIPAA. Implementing get entry to control mechanisms, encryption techniques, and fact validation measures guarantees that sensitive facts remain included.
6. Monitoring Performance and Troubleshooting Issues: Continuous overall performance tracking of cloud-based totally statistics platforms is crucial to prevent failures and downtime. Data Engineers use tracking gear to tune gadget health, pick out bottlenecks, and troubleshoot overall performance troubles to make certain easy operations.
7. Managing Real-Time and Batch Processing Frameworks: Handling large-scale statistics workloads calls for data in real-time and batch processing frameworks. Technologies like Apache Spark, Kafka, and Azure Data Factory are used to system big datasets efficiently, making sure statistics are available for well-timed choice-making.
8. Implementing Data Governance and Metadata Management: A robust statistics governance framework is important for preserving information pleasant and consistency. Data Engineers set up metadata manipulate practices, ensuring records is nicely-documented and easily discoverable.
9. Documentation and Knowledge Sharing: Finally, Data Engineers file technical processes, pleasant practices, and architectural choices to create a nicely dependent facts base. They, moreover, make contributions to information-sharing tasks, supporting other groups to understand statistics workflows and undertake outstanding practices.
Essential Skills and Expertise for a Data Engineer:
A Data Engineer performs a important function in modern-day companies with the aid of the use of designing, enforcing, and managing scalable information solutions. Nokia Hybrid Jobs Recruitment seeks candidates with a sturdy technical historical past and a deep know-how of records engineering ideas. Below are the important component competencies and understanding required for this function.
1. Azure Data Services: Proficiency in Azure Data Factory, Azure Synapse, and Azure SQL Database is crucial. These offerings assist in coping with and reworking big datasets efficaciously. Experience with Azure’s environment guarantees seamless integration and smooth records drift inner cloud-based totally architectures.
2. Databricks Expertise: Databricks is a unified analytics platform that allows massive-scale information processing. Candidates want to be professional in building, optimizing, and handling records pipelines the use of Databricks, ensuring green dealing with of structured and unstructured data.
3. Programming Skills: A strong command of Python, Scala, and SQL is crucial for statistics manipulation, transformation, and automation. Python and Scala are drastically used in large data processing frameworks like Apache Spark, at the same time as SQL is critical for querying and handling relational databases.
4. ETL Development: Extract, Transform, Load (ETL) techniques are fundamental to records engineering. Hands-on enjoy with ETL tools and techniques lets in seamless data integration from diverse belongings. Candidates need to apprehend statistics cleansing, transformation common feel, and pipeline orchestration to optimize workflows.
5. Big Data Technologies: A robust understanding of large statistics frameworks like Apache Spark and Hadoop is important. These technologies permit allotted processing, permitting engineers to cope with huge quantities of records efficaciously. Knowledge of allotted garage solutions like HDFS or Delta Lake in addition complements facts management skills.
6. Cloud Computing: Experience in cloud-based architectures and deployment models is critical for a Data Engineer. Candidates have to be acquainted with Azure, AWS, or Google Cloud Platform (GCP) and apprehend cloud computing concepts which include serverless computing, containerization (Docker, Kubernetes), and microservices.
7. Data Visualization: The capability to give facts insights visually is crucial. Proficiency in Power BI, Tableau, or similar visualization device enables engineers to create interactive dashboards and reviews that resource choice-making. Understanding data storytelling enhances the ability to speak findings correctly.
8. DevOps & CI/CD: Modern information engineering relies on automation and non-stop integration/non-stop deployment (CI/CD). Knowledge of DevOps methodologies, model control (Git), CI/CD pipelines, and automation tools like Jenkins or Azure DevOps ensures inexperienced deployment and tracking of record answers.
9. Problem-Solving Ability: A hit Data Engineer ought to have sturdy analytical and troubleshooting talents to perceive and clear up typical performance issues, optimize queries, and improve gadget performance. The capability to assume severely and devise cutting-edge solutions is highly valued.
10. Communication & Teamwork: Collaboration is high in information engineering responsibilities. Strong conversation and teamwork abilities help in running correctly with information scientists, analysts, software program software builders, and business employer stakeholders to ensure that information answers align with organizational dreams.
Qualifications:
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or an associated discipline.
- 5-9 years of experience in statistics engineering, ideally in an employer placing.
- Certifications in Azure (which includes Azure Data Engineer Associate) are an advantage.
- Experience in coping with structured and unstructured facts assets.
How to Apply for Nokia Hybrid Jobs Recruitment?
If you are inquisitive about applying for the Data Engineer (Azure, Databricks) role at Nokia, comply with these steps:
- Visit Nokia’s Official Careers Page: Check their website online for activity openings and eligibility standards.
- Prepare Your Resume: Highlight your experience in records engineering, cloud computing, and applicable responsibilities.
- Apply Online: Submit your application via Nokia’s recruitment portal.
- Interview Process: The selection method normally involves a technical screening, problem-fixing assessment, and a final interview with hiring managers.
- Join Nokia: Upon an achievement choice, you may acquire a suggestion letter and onboarding information.
Top 5 Benefits of Working at Nokia:
- Competitive Compensation & Rewards: Nokia offers highly competitive salaries along with typical performance-based bonuses and inventory alternatives for eligible personnel. The employer ensures that its compensation applications align with enterprise standards, spotting and worthwhile employees for his or her contributions.
- Comprehensive Health & Wellness Benefits: Employees obtain robust healthcare insurance, which includes scientific, dental, imaginative, and prescient insurance for themselves and their families. Nokia also offers an intellectual health guide, well-being applications, and health club memberships to promote a wholesome work-life balance.
- Flexible Work Arrangements: With its hybrid and far-off painting options, Nokia supports employees in maintaining flexibility among professional and private commitments. The enterprise encourages a healthy paintings-lifestyles balance with the aid of allowing flexible working hours and far flung collaboration tools.
- Learning & Career Development: Nokia invests in employee increase through providing schooling packages, certification publications, mentorship, and lessons reimbursement for endured schooling. Employees have get entry to to Nokia’s learning systems and management development projects to develop their careers.
- Retirement & Financial Security: To make sure lengthy-time period monetary properly-being, Nokia offers retirement monetary savings plans (401k or pension programs), employee stock buy plans, and economic well being sources. The business enterprise permits employees strong their financial future via funding and savings options.
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