Data Engineer

Data Engineers work in many different locations to develop systems that gather raw data and transform it into data which Data Scientists and Business Analysts are able to comprehend. Through this method Data Engineers Data Engineer makes the data easier to access and optimizes it to boost customers or the business performance that is required for all companies.

Some of the responsibilities Data Engineers need to take charge of include the following: -

• Data Architect They're responsible for the documentation of an organization's data assets and mapping the flow of data through its systems, and laying out a plan to manage the data.
• Business Analysts - They assist in boosting the profitability of businesses as well as market share and revenue. Business analytics can aid in achieving higher ROI.
• Data Scientists - Data Scientists gather, study and analyze large amounts of data in order to determine the most effective outcomes.

A Data Engineer with 0-3 years of experience in India is responsible for:

• Analyzing and extracting data to create meaningful insights for business operations.
• Designing, developing, and maintaining data pipelines and databases to ensure efficient data availability and accuracy.
• Integrating various data sources and formats, ensuring data quality and integrity.
• Building and maintaining data warehouses for effective storage, retrieval, and reporting of data.

Major educational qualifications required for Data Engineer are:

• Bachelor's Degree in Computer Science, IT, BCA or in related areas.
• Certifications by IBM, Google Cloud Certified and AWS certified Data Engineer.
• Knowing Microsoft Azure Data Stack (ADFv2, Azure SQL DB, Azure SQL Datawarehouse, Azure Databricks, Cosmos DB, Analysis Services).
• Experience in designing and creating Data Pipelines for Data Ingestion - Be familiar with AZ 900 and Azure Fundamentals, DP 200, DP 2001, DP 203, AZ 204, and Data Engineering.
• Experience with the control of version GitHub as well as CI/CD pipelines utilizing Azure DevOps as well as ETL Datastage development.
• The ability to provide solutions for the ingestion of data, cleansing data, ETL, data marts creation, and the disclosure of consumer information.

Some Alternative job roles available for Data Engineer are:

• Data Analyst: Analyzes and interprets data to discover insights and trends for informed decision-making.
• Data Scientist: Utilizes advanced algorithms and statistical models to extract valuable insights from large datasets.
• Database Administrator: Designs, implements, and maintains efficient and secure databases to ensure smooth data organization and retrieval.
• Business Intelligence Analyst: Collects and analyzes business data to identify patterns, trends, and opportunities for strategic decision-making.

Data Engineer roles are among the top-paying jobs in the Indian Technology market. The demand for Data Engineers will likely keep upscaling as various industries are looking for qualified and skilled data experts who can unlock the potential data stored in their systems. The role of a Data engineer is evolving with technological innovation and market maturity, making this role a broader job market that involves actuary, quant, and statistician. As per DICE 2020, the opportunity for Data Engineers hiked by 50% YOY. Nowadays, businesses are concentrating more on data to know more about what their customers are interested in or looking for.
The salary and demand of Data Engineers were hiked by more than 40%, making this data industry more demanding. The IDC cloud survey, performed with 551 large tech firms, disclosed that 38% of the total IT environment would be on the cloud in 2020 and growing. Today, IT companies know that to perform better, they need the proper data infrastructure and more Data Engineers to analyze it properly.