CG Infinity
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Noida · On-site · 3-6 Yrs · Oct 22
Information Technology Support Services · 201 to 500 Employees · Plano, US
Since 1998, Cyber Group has provided high quality hardware and software solutions via our AgileShoring™ model. Our team has extensive knowledge and experience to provide our clients with superb industrial, retail and security engineering services. Cyber Group is the partner that works with you side-by-side at every turn. We help companies grow in unison with the ever-changing marketplace by implementing solutions with fast entry-to-market results. With our company’s proven veteran leadership and exceptional employee retention rate, clients can be sure they are guided by only the most experienced advisors. As an employee-owned company, we’re committed to servicing our clients with their best interests in mind. With offices in Dallas and India employing over 250 people worldwide, we have the global resources to take on even the most complex projects.
Hiring: Engineering
What employees say
+ Okays company culture and events
− Not good for career growth
More reviews on the company profile.
Interview experience · SDE-intern
it was 2 rounds : mcq +1 technical+hr round at the office at noida it was quit difficult but at end it was nice all that the offer was 7 lpa
Average difficulty · Delhi Cantonment · 78 reports
More interview insightsJob description
Overview
CG Infinity is looking for a highly skilled Cloud Data Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing, implementing, and managing cloud-based data solutions. You will be responsible for developing and maintaining scalable data pipelines, optimizing data storage, and ensuring data security and compliance. Your role will involve collaborating with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.
Responsibilities
- CG Infinity is looking for a highly skilled Cloud Data Engineer to join our dynamic team. The ideal candidate will have
- experience in designing, implementing, and managing cloud-based data solutions. You will be responsible for developing and maintaining scalable data pipelines, optimizing data storage, and ensuring data security and compliance. Your role will involve collaborating with data scientists, analysts, and other stakeholders to understand data requirements and deliver high-quality data solutions.
- Design, build, and maintain data pipelines using modern cloud platforms.
- Develop robust ETL/ELT workflows for structured and unstructured data.
- Optimize data storage, query performance, partitioning, and retrieval processes for large-scale datasets.
- Ensure data quality through validation checks, reconciliation, profiling, and automated monitoring.
- Collaborate with data analysts, business teams, and data scientists to understand functional requirements.
- Implement data governance, metadata management, lineage tracking, and compliance standards.
- Build integrations with APIs, databases, and third-party platforms.
- Perform performance tuning for SQL queries, Spark jobs, and distributed processing workloads.
- Develop reusable frameworks, coding standards, and CI/CD pipelines for data engineering solutions.
- Collaborate with cross-functional teams to design, develop, and deliver scalable data solutions.
- Perform continuous performance tuning, optimization, and capacity planning for data platforms and pipelines.
- Integrate LLM / Generative AI solutions with enterprise data sources using secure pipelines.
- Evaluate emerging AI data tools and recommend improvements to modern data platforms.
- Build and maintain data pipelines for AI/ML use cases, including feature engineering and model-ready datasets.
- Support deployment of AI-powered analytics, recommendation systems, and predictive solutions.
- Provide training, documentation, and ongoing support to end-users and internal stakeholders.
- Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.
- 3+ years of hands-on experience in Data Engineering and cloud-based data platforms.
- Strong experience with Microsoft Azure technologies such as Azure Data Factory, Azure SQL, CI/CD pipelines, cloud infrastructure, ARM Templates, and Terraform.
- Hands-on experience with Databricks for data engineering, ETL pipelines, and big data processing.
- Solid programming and strong logical problem-solving skills in Python.
- Strong expertise in SQL.
- Good understanding of data warehousing, data lake, and Lakehouse architectures.
- Hands-on experience with ETL/ELT tools, data integration, and pipeline orchestration.
- Strong knowledge of database design, data modelling, and performance tuning concepts.
- Understanding of data security, access control, encryption, and compliance best practices.
- Knowledge of data governance, metadata management, lineage, and data quality frameworks.
- Experience with version control tools such as Git and collaborative development workflows.
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Job application FAQ
Last updated 22 October 2026
- How do I apply for Cloud Data Engineer at CG Infinity?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. CG Infinity may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Cloud Data Engineer role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Cloud Data Engineer remote or on-site in Noida, Uttar Pradesh?
- This listing is marked on_site with location Noida, Uttar Pradesh. Confirm details on the job description before applying.
- What skills matter for this Cloud Data Engineer role at CG Infinity?
- This is a mid-level Cloud Data Engineer role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.