Current Opening

Data Engineer Intern 

Are you passionate about building robust data pipelines and infrastructure to enable efficient data processing and analysis? We are seeking a motivated and technically skilled individual to join our team as a Data Engineer Intern. This internship offers a unique opportunity for students pursuing a degree in Computer Science, Data Engineering, or a related field to gain practical experience in designing and implementing scalable data solutions.

Internship Info:

As a Data Engineer Intern at CyArt, you'll have the opportunity to work alongside experienced professionals, delving into the intricacies of data engineering and gaining hands-on experience in building and optimizing data pipelines. From data ingestion to ETL processes, each day will present new challenges and opportunities for skill development.  

Responsibilities:

• Collaborate with experienced data engineers to understand best practices in designing and implementing scalable data pipelines and infrastructure.
• Assist in building and optimizing data pipelines for efficient data ingestion, processing, and storage using technologies such as Apache Spark, Hadoop, Kafka, and cloud-based solutions.
• Acquire proficiency in utilizing industry-standard data engineering tools and languages, such as Python, Scala, SQL, and frameworks like Apache Airflow.
• Participate in the development of data models and schema designs to support data analytics and reporting requirements.
• Contribute to the implementation of data quality and governance processes to ensure the integrity, accuracy, and reliability of data.
• Support the integration of data from various sources and formats, including structured, semi-structured, and unstructured data.
• Stay updated on emerging trends and advancements in data engineering, distributed computing, and cloud technologies to enhance skillset and adapt methodologies accordingly.
• Collaborate with the team to devise innovative solutions to complex data engineering challenges and improve overall data processing and analysis capabilities.
  
  

Requirements:

• Currently pursuing a degree in Computer Science, Data Engineering, or a related field.
• Proficiency in programming languages and technologies commonly used in data engineering, such as Python, Scala, SQL, and experience with distributed computing frameworks.
• Familiarity with data storage and processing technologies, including relational databases, NoSQL databases, data lakes, and data warehouses.
• Understanding of data modeling concepts, ETL processes, and data integration techniques.
• Strong analytical and problem-solving skills, with the ability to design and implement scalable data solutions.
• Excellent communication skills, both written and verbal, for effective collaboration with team members and clear articulation of technical concepts.
• Demonstrated ability to work autonomously as well as part of a dynamic team, with a proactive approach to problem-solving and a willingness to learn.
• Passion for data engineering, technology, and continuous learning, coupled with a drive for professional growth.
  
  

Apply No​​​​w

Data Science Intern 

Are you passionate about uncovering insights from data to drive strategic decision-making and innovation? We are seeking a motivated and analytically minded individual to join our team as a Data Science Intern. This internship offers an exciting opportunity for students pursuing a degree in Data Science, Statistics, Computer Science, or a related field to gain hands-on experience in applying advanced analytics techniques to real-world problems.

Internship Info:

As a Data Science Intern at CyArt, you'll work closely with experienced data scientists, diving into the fascinating world of data analysis, modeling, and machine learning. From exploratory data analysis to predictive modeling, each day will present new challenges and opportunities for skill development. ​ 

Responsibilities:

• Collaborate with experienced data scientists to understand best practices in data preprocessing, feature engineering, modeling, and evaluation.
• Assist in analyzing and interpreting data from various sources to identify patterns, trends, and insights.
• Acquire proficiency in utilizing industry-standard data science tools and languages, such as Python, R, SQL, and machine learning libraries like scikit-learn and TensorFlow.
• Participate in the development of predictive models, algorithms, and statistical techniques to solve business problems and optimize processes.
• Contribute to the creation of data visualizations and reports to communicate findings effectively to stakeholders.
• Support data-driven decision-making by providing actionable insights and recommendations based on data analysis and modeling.
• Stay updated on emerging trends and advancements in data science, machine learning, and artificial intelligence to enhance skillset and adapt methodologies accordingly.
• Collaborate with the team to devise innovative solutions to complex analytical problems and improve overall data science capabilities.
  
  

Requirements:

• Currently pursuing a degree in Data Science, Statistics, Computer Science, or a related field.
• Proficiency in programming languages and tools commonly used in data science, such as Python, R, SQL, and experience with data manipulation and visualization libraries.
• Familiarity with statistical analysis, machine learning algorithms, and techniques for model evaluation and validation.
• Strong analytical and problem-solving skills, with the ability to translate data into actionable insights.
• Excellent communication skills, both written and verbal, for effective collaboration with team members and clear articulation of analytical findings.
• Demonstrated ability to work autonomously as well as part of a dynamic team, with a proactive approach to problem-solving and a willingness to learn.
• Passion for data science, technology, and continuous learning, coupled with a drive for professional growth.
  
  

Apply N​​ow

Big Data Intern 

Are you passionate about harnessing the potential of big data to unlock actionable insights and drive strategic decision-making? We are seeking a motivated and technically savvy individual to join our team as a Big Data Intern. This internship offers an exciting opportunity for students pursuing a degree in Big Data Analytics, Computer Science, or a related field to gain hands-on experience in working with large-scale datasets and cutting-edge big data technologies

Internship Info:

As a Big Data Intern at CyArt, you'll have the opportunity to work alongside experienced professionals, immersing yourself in the realm of big data analytics and gaining practical insights into scalable data processing and analysis techniques. From data ingestion to distributed computing, each day will present new challenges and opportunities for skill development.

Responsibilities:

• Collaborate with experienced big data engineers and analysts to understand best practices in data ingestion, processing, and analysis.
• Assist in building and optimizing big data pipelines for efficient data ingestion, storage, and retrieval using technologies such as Apache Hadoop, Spark, Kafka, and cloud-based solutions.
• Acquire proficiency in utilizing industry-standard big data tools and languages, such as Scala, Python, SQL, and frameworks like Apache Spark and Hadoop ecosystem components.
• Participate in the development of data processing and analysis workflows to extract actionable insights from large-scale datasets.
• Contribute to the implementation of distributed computing algorithms and techniques to address performance and scalability challenges.
• Support the integration of data from various sources and formats, including structured, semi-structured, and unstructured data.
• Stay updated on emerging trends and advancements in big data technologies, distributed computing, and cloud platforms to enhance skillset and adapt methodologies accordingly.
• Collaborate with the team to devise innovative solutions to complex big data challenges and improve overall data processing and analysis capabilities.
  
  

Requirements:

• Currently pursuing a degree in Big Data Analytics, Computer Science, or a related field.
• Proficiency in programming languages and technologies commonly used in big data analytics, such as Scala, Python, SQL, and experience with distributed computing frameworks.
• Familiarity with big data processing and storage technologies, including Apache Hadoop, Spark, Kafka, and cloud-based solutions.
• Understanding of distributed computing principles, parallel processing, and data partitioning techniques.
• Strong analytical and problem-solving skills, with the ability to work with large-scale datasets and extract meaningful insights.
• Excellent communication skills, both written and verbal, for effective collaboration with team members and clear articulation of technical concepts.
• Demonstrated ability to work autonomously as well as part of a dynamic team, with a proactive approach to problem-solving and a willingness to learn.
• Passion for big data analytics, technology, and continuous learning, coupled with a drive for professional growth.

Apply Now​​

Flutter Intern (Opening :- 5)

CyArt LLP is a leading provider of cybersecurity solutions, dedicated to safeguarding our clients' digital assets and infrastructure. We specialize in offering comprehensive security services tailored to meet the unique needs of businesses across various industries. Our team is committed to staying ahead of emerging threats and implementing proactive measures to mitigate risks effectively.

Internship Info:

We are seeking a motivated and enthusiastic individual to join our dynamic Security Operations Center (SOC) team as a SOC Intern. This internship is an excellent opportunity for students pursuing a degree in Computer Science, Information Security, or a related field to gain valuable hands-on experience in the field of cybersecurity.

During the internship, you will have the opportunity to work closely with our experienced security analysts and engineers, contributing to various aspects of cybersecurity operations and incident response.

Responsibilities:

• Monitor security alerts and events generated by our security systems, including Security Information and Event Management (SIEM) platforms.
• Assist in the investigation and analysis of security incidents to determine the root cause and severity level.
• Collaborate with team members to develop and implement incident response strategies and remediation plans.
• Contribute to the maintenance and enhancement of SOC tools and processes, ensuring optimal performance and efficiency.
• Stay current on the latest cybersecurity trends, threats, and best practices through research and training sessions.
• Document incidents, procedures, and findings accurately for internal knowledge sharing and reporting purposes.

• Shifts can be rotational.

Requirements:

• Currently pursuing a degree in Computer Science, Information Security, or a related field.
• Familiarity with basic cybersecurity concepts and principles.
• Strong analytical skills with the ability to troubleshoot and problem-solve effectively.
• Excellent communication skills, both verbal and written.
• Ability to work well independently and as part of a team in a fast-paced environment.
• Eagerness to learn and a proactive attitude towards professional development.
• Familiarity with common security tools and technologies (a plus: SIEM, EDR, XDR, Web Proxy, IDS/IPS, Firewalls, Endpoint Protection).
• Availability to commit to a full-time internship for a duration of 6 months.

Apply Now