Previously, data engineers were supposed to perform the duties of data scientists. However, data collection and management have become increasingly challenging as the data sector has evolved. Due to the increased need for answers and insights from the accumulated data, the job has been divided in two.
Engineers build and manage the systems and structures needed to store, extract, and organise data, which is the fundamental difference between these two data professions. However, data scientists use this information to foresee patterns, get insight into business, and find answers to the company’s crucial concerns. 3RI Technologies is offering a Data Science Training in Pune, providing learners with an extensive knowledge of Data Science fundamentals.
Data Scientist – What Is It?
The fields of business, computing, statistics, and information science are all integral to the study of “Data Science.” The subject employs scientific tools, methodologies, strategies, and algorithms to extract useful patterns and insights from large datasets. Data science is based on three pillars: big data, machine learning, and data mining.
Role & Responsibility of Data Scientist
Data Scientists are required to:
- Manage, mine, and clean up unstructured data so it can be used in the real world.
- Make models that can work with “Big Data.”
- Understand and make sense of the analysis of big data
- Take control of the data team and help them reach their goals.
- Give results that affect how the business does.
Data Scientists Skills :
- Visualisation of data
- Statistics & Probabilities
- Math with multiple variables and linear algebra
- Deep learning and machine learning
- Programming
- Utilizing the cloud
- Data manipulation
- Database maintenance
Tools for Data Scientists
Data Scientists use languages like Python and Java and tools like Rapidminer, KNIME, Tableau Public, QlikView, and Splunk for advanced analytics and business intelligence. ML libraries like TensorFlow, Theano, PyTorch, DLib, Caffe, Apache Spark, and Keras, to name a few, are also very important to Data Scientists.
Salary Package of Data Scientists
The type of employment, the data scientist’s qualifications, and the location of the job all affect how much money they make. The salary website Glassdoor has estimated that the average annual salary of a data scientist is $139,000.
Career Opportunities For Data Scientists
Many data scientists start as junior data scientists or in entry-level data science jobs after completing an internship. Young data scientists can develop their technical expertise further and concentrate on specified tasks in an entry-level position before planning their experiments and solving more challenging business problems.
Data Engineer – What Is It?
Data Science has several subfields, one of which is Data Engineering, which is concerned with the actual implementation of data science. This work focuses on the design and construction of data pipelines to collect, clean, and transform data from various sources into a usable format for Data Scientists.
Data Engineering helps develop the data process stack, which collects, stores, cleans, processes, and prepares data for further analysis in real-time or batches. Data Engineers make systems that help Data Scientists do their jobs.
Role & Responsibility of Data Engineer
Data Engineer is required to:
- Using data mining to extract insights from the data
- Transforming inaccurate data into a format that can be used for data analysis
- Creating data queries
- Upkeep of the data architecture and design
- Create massive data warehouses using additional transform load (ETL)
Data Engineer Skills :
- Design and configuration of databases
- Configuration of the sensor and interface
- Programming
- Distributed systems
- System architecture
Tools for Data Engineers
Professionals in the field of data engineering make use of cutting-edge programming languages like Python, Java, and Scala, as well as distributed systems, data pipelines tools like IBM InfoSphere DataStage, Talend and Big Data frameworks like Hive, Hadoop, Spark, and others.
Salary Package of Data Engineer
What a data engineer earns is based on their work speciality, experience level, and location. According to Glassdoor, the average salary of a data engineer is $142,000 a year.
Career Opportunities For Data Engineers
The field of data engineering does not often have entry-level positions available. Thus, many data engineers start their careers in software engineering or business intelligence/systems analytics since these fields familiarise them with the kinds of systems and architecture essential to data science.
To improve their data engineering abilities, expand their knowledge of data processing and cloud computing, and gain expertise with ETL and data layers, many data engineers work in the professions of data architect, solutions architect, and database developer. Some people find it helpful to understand the requirements of data analysts and scientists through experience working in data analytics before shifting to data engineering.
