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Urgent! Senior Data Engineer Job Opening In India, India – Now Hiring Globex Digital
Data Engineer Role
Location: India Remote
Are you a passionate Data Engineer ready to design and build cutting-edge, scalable, and reliable ML/AI solutions?
Join our dynamic cross-functional feature team in India and drive innovation from concept to industrialization.
We're looking for an expert to integrate and optimize algorithms across the entire product lifecycle, ensuring robust and performant data pipelines.
What You'll Do:
● Architect and Implement: Collaborate with AI Product Managers and DevOps to co-realize data and tech due diligence, setting up pristine exploratory environments.
You'll design and build efficient data pipelines on demand, meticulously measuring cost-effectiveness across transformation scenarios.
● Innovate and Optimize: Embed critical monitoring metrics into products, design future-proof MVP target architectures, and meticulously package and document your code and infrastructure.
Your expertise will optimize ML/AI algorithm performance in distributed systems, enhancing model response times and parallelism.
● Drive Future-Forward Initiatives: Stay at the forefront of technology through continuous technological watch, test new innovations in real-world use cases (MVMs & MVPs), and champion market-shifting technologies that add tangible value.
You'll even contribute to selecting new service providers.
Your Technical Prowess Will Shine In:
● Programming Mastery: Excellent command of Python (mandatory) and experience with Scala.
A solid understanding of both Object-Oriented Programming (OOP) and functional programming is key.
Java, C#, and R are a plus.
● Big Data & Distributed Systems:
○ Big Data: Spark is a must, coupled with knowledge of message-based systems like Kafka and Stream.
Experience with Azure Databricks is highly valued.
○ Containerization: Proficient in Docker and Kubernetes.
○ Architecture & Cloud Patterns: Expertise in Microservices (Azure Functions), SOA architectures, and API design practices (HATEOAS, GraphQL).
○ Databases: Strong with SQL (Azure SQL Server) and NoSQL (ElasticSearch,
CosmosDB, MongoDB).
Proven experience with Snowflake is a significant plus.
○ Deep understanding of data structures and big data-oriented file formats (Parquet/Delta, ORC, AVRO).
● Machine Learning and Analytics:
○ Familiarity with main Machine Learning algorithms (Reinforcement, Supervised, Unsupervised).
○ Hands-on coding experience with analytics and ML frameworks: NumPy, Scikit-learn, Pandas.
○ Experience with experimental environments: Jupyter Notebook, Zeppelin, MLFlow.
○ Proficiency in deep learning frameworks: TensorFlow, Keras, Caffe.
○ Experience with dashboarding and visualization tools (PowerBI in particular) is a plus.
○ Experience with Azure Machine Learning Services is a plus.
● Cloud Expertise (Azure is Key):
○ Architect-level knowledge of Azure Services, with a sharp focus on data services like Azure Data Factory, Data Lake, Databricks.
○ Solid understanding of governance, networking, and security in the cloud (subscriptions, resource groups, SSOs, VPC, NSGs).
○ Knowledge of other cloud offerings (AWS, GCP) is a plus, but Azure Cloud experience is mandatory.
● Software Engineering & DevOps:
○ Comfortable with Git for Source Code Management.
○ Adept at creating build and release pipelines in CI/CD tools like Azure DevOps (preferred) or Gitlab.
○ Experience with workflows and ETL/ELT processes.
○ Familiarity with ADLS Gen2, Azure Functions, and Logic Apps.
○ Understanding of Medallion architecture (Bronze, Silver, Gold).
○ Experience with Jira for project management.
○ Familiarity with Azure OpenAI and working with APIs/webapps and other relevant Azure services.
Qualifications:
● MSc in Computer Sciences
● Typically 3-5 years of relevant experience (5-8 for Senior Data Engineer role).
Your Core Competencies:
● System Design: Expert in specification creation, user stories & standards writing, and comprehensive application & solution design.
● Data Management & Analysis: Proficient in Data Modeling & Design, Meta Data Management, Data Warehouse, Business Intelligence & Data Visualization, and Master Data Management.
● Application Development, Support & Maintenance: Strong in application performance
measurement, DevOps methodology, coding & scripting, and thorough validation & testing.
● Processes & Methodologies: A master of Agile methodology.
Personal Traits:
● Collaborates effectively and contributes independently.
● Ensures accountability and drives tangible results.
● Demonstrates nimble learning capabilities.
If you're ready to make a significant impact on our AI/ML journey and thrive in a fast-paced, innovative environment, apply now!
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Unlock Your Senior Data Potential: Insight & Career Growth Guide
Real-time Senior Data Jobs Trends in India, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Senior Data in India, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 514400 jobs in India and 35944 jobs in India. This comprehensive analysis highlights market share and opportunities for professionals in Senior Data roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Globex Digital is currently hiring and seeking a Senior Data Engineer to join their team. Feel free to download the job details.
Wait no longer! Are you also interested in exploring similar jobs? Search now: Senior Data Engineer Jobs India.
An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Globex Digital adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Senior Data Engineer Jobs India varies, but the pay scale is rated "Standard" in India. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Senior Data Engineer typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
To improve your chances of getting hired for Senior Data Engineer, consider enhancing your skills. Check your CV/Résumé Score with our free Resume Scoring Tool. We have an in-built Resume Scoring tool that gives you the matching score for each job based on your CV/Résumé once it is uploaded. This can help you align your CV/Résumé according to the job requirements and enhance your skills if needed.
Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Senior Data Engineer interview at Globex Digital, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Globex Digital's products or services and be prepared to discuss how you can contribute to their success.
By following these tips, you can increase your chances of making a positive impression and landing the job!
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