Data science and analytics includes the systematic study of data to derive insights and make informed decisions across various domains and industries. It involves the application of statistical techniques, machine learning algorithms, and computational tools to analyze large and complex datasets, uncover patterns, trends, and correlations, and extract actionable intelligence. Data scientists and analysts play a crucial role in transforming raw data into valuable information, enabling organizations to optimize processes, enhance products and services, and drive strategic growth initiatives. By leveraging advanced analytical methods and technologies, such as predictive modeling, data visualization, and artificial intelligence, data science and analytics empower businesses to gain a competitive edge, mitigate risks, and capitalize on emerging opportunities in today’s data-driven landscape.
A Big Data Engineer is responsible for designing, implementing, and managing the infrastructure required to process and analyze large volumes of data efficiently. They work with various tools and technologies to develop scalable and robust data pipelines that collect, store, and transform data from disparate sources. Big Data Engineers often collaborate closely with data scientists and analysts to understand their requirements and ensure the availability of high-quality data for analysis.
Glider AI’s technical skills tests evaluates the candidates on the following top skills:-
SQL | Spark | Hive | MySQL | Coding – Python / Java / JavaScript / Bash
A Business Intelligence (BI) Analyst is tasked with interpreting complex data sets to provide valuable insights that inform strategic business decisions. They utilize a combination of analytical skills and industry knowledge to identify trends, patterns, and opportunities within the data. BI Analysts often work with BI tools such as Tableau, Power BI, or Qlik to visualize data and create reports and dashboards that communicate findings to stakeholders effectively.
Glider AI’s technical skills tests evaluates the candidates on the following top skills:-
SQL | Tableau | Power BI
A Data Analyst plays a crucial role in collecting, processing, and analyzing data to extract actionable insights that drive business decisions and strategies. They are proficient in using statistical analysis and data visualization techniques to identify trends, patterns, and correlations within datasets. Data Analysts work closely with stakeholders to understand their requirements, design data models, and develop reports and dashboards to present findings effectively.
Glider AI’s technical skills tests evaluates the candidates on the following top skills:-
Tableau | Power BI | SQL | Python
A Database Developer specializes in designing, implementing, and maintaining databases to support the storage and retrieval of data for applications and systems. They are proficient in database management systems (DBMS) like SQL Server, Oracle, MySQL, or PostgreSQL, and utilize their expertise to create efficient database schemas, tables, and queries. Database Developers work closely with software developers, data architects, and business analysts to understand data requirements and design database solutions that meet organizational needs.
Glider AI’s technical skills tests evaluates the candidates on the following top skills:-
TSQL | SQL | Data Modelling | PLSQL – Trigger
A Data Engineer is responsible for developing, constructing, testing, and maintaining architectures, such as databases and large-scale processing systems, for data ingestion, processing, and analysis. They design and implement scalable data pipelines that cleanse, transform, and aggregate data from various sources to make it available for analytics and reporting purposes. Data Engineers work closely with Data Scientists, Business Analysts, and other stakeholders to understand data requirements and ensure data availability and reliability.
Glider AI’s technical skills tests evaluates the candidates on the following top skills:-
PowerBI | Tableau | SQL | MS Excel
A Data Modeler is tasked with designing, implementing, and maintaining conceptual, logical, and physical data models that define the structure and relationships of an organization’s data assets. They collaborate closely with stakeholders, including database administrators, software developers, and business analysts, to understand data requirements and translate them into efficient data models. Data Modelers use tools like ERwin, ER/Studio, or PowerDesigner to create visual representations of data structures, ensuring data integrity, consistency, and accessibility across systems.
Glider AI’s technical skills tests evaluates the candidates on the following top skills:-
SQL | Data Modeling | Data Analysis | Power BI | Tableau | Data Lakes
Data Scientists are analytical experts who leverage their skills in statistics, machine learning, programming, and domain knowledge to extract insights and value from large and complex datasets. They employ advanced analytical techniques to identify patterns, trends, and correlations within data, helping organizations make informed decisions and solve complex problems. Data Scientists are proficient in programming languages like Python, R, and SQL, and they use tools such as TensorFlow, PyTorch, and scikit-learn to develop predictive models and algorithms.
Glider AI’s technical skills tests evaluates the candidates on the following top skills:-
Python | R | SQL | Tableau | Data Science | NumPy | Pandas | Matplotlib
Database Administrators (DBAs), particularly those specializing in Oracle Database Management, are responsible for the design, implementation, maintenance, and performance tuning of Oracle database systems. They ensure the integrity, security, and availability of data stored in Oracle databases, managing user access, permissions, and data backups. Oracle DBAs monitor database performance, troubleshoot issues, and optimize SQL queries to enhance system efficiency and minimize downtime.
Glider AI’s technical skills tests evaluates the candidates on the following top skills:-
Oracle DBA | AWS – EC2 / RDS / Cloudwatch / S3 | Jenkins | SNS | BASH | Oracle PL/SQL | SQL
Deep Learning/Computer Vision Engineers specialize in developing and implementing cutting-edge algorithms and models to analyze and interpret visual data. They leverage deep learning techniques, such as convolutional neural networks (CNNs) and recurrent neural networks (RNNs), to extract meaningful insights from images, videos, and other visual inputs. These professionals design and train deep learning models to perform tasks like object detection, image classification, facial recognition, and gesture recognition.
Glider AI’s technical skills tests evaluates the candidates on the following top skills:-
Deep Learning | Computer Vision | Pytorch | OpenCV | Neural network
An ETL (Extract, Transform, Load) Developer is responsible for designing, building, and maintaining data integration processes within an organization’s data infrastructure. Their primary focus is on extracting data from various sources, transforming it into a consistent format, and loading it into a target data warehouse or database. ETL Developers work with tools and technologies such as SQL, Python, Apache Spark, Talend, Informatica, or Microsoft SSIS to streamline the data pipeline and ensure data quality and consistency.
Glider AI’s technical skills tests evaluates the candidates on the following top skills:-
ETL – Ab Initio | Unix | SQL | AWS/ Spark/ Scala
An ETL (Extract, Transform, Load) Tester specializes in testing the data integration processes used in ETL pipelines to ensure data accuracy, completeness, and consistency. Their role involves designing and executing test cases to validate the extraction, transformation, and loading of data from source systems to target databases or data warehouses. ETL Testers verify data mappings, transformations, and business rules to ensure that data is processed correctly and meets the requirements defined by stakeholders.
Glider AI’s technical skills tests evaluates the candidates on the following top skills:-
MongoDB | Python | SQL | ETL Testing | JMeter | Postman | SOAPUI | Test Execution
A Principal Data Engineer is a senior-level professional responsible for leading the design, development, and implementation of data engineering solutions within an organization. They possess extensive expertise in data architecture, data modeling, and data integration techniques, leveraging advanced technologies and methodologies to build scalable and efficient data pipelines. Principal Data Engineers collaborate with cross-functional teams to define data requirements, design robust data architectures, and select appropriate tools and technologies to support the organization’s data initiatives.
Glider AI’s technical skills tests evaluates the candidates on the following top skills:-
Snowflake | Google Airflow | TSQL | Jenkins | SSIS
A Big Data Developer is a specialized professional responsible for designing, developing, and maintaining large-scale data processing systems that handle massive volumes of structured and unstructured data. They possess expertise in programming languages like Java, Python, or Scala, along with proficiency in big data technologies such as Hadoop, Spark, and Kafka. Big Data Developers work closely with data scientists, engineers, and analysts to understand data requirements, design efficient data pipelines, and implement data processing algorithms to extract valuable insights from vast datasets.
Glider AI’s technical skills tests evaluates the candidates on the following top skills:-
Hadoop | Hive |Spark | Scala |Coding -Java/ Python
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