EY Recruitment Notification for DataBase Developer
About Company - (https://www.ey.com/en_in)
EY, formerly known as Ernst & Young, is one of the largest professional services companies in the world. It is a multinational organization offering a wide range of professional services in the areas of auditing, tax and consulting. Here are some important details about EY:
Assurance: Providing auditing, financial reporting and risk assessment services to help clients maintain transparency and accountability in their financial operations.
Tax: Assist clients with tax planning, compliance and advisory services to help them navigate complex tax laws and regulations.
Consulting: Providing consulting services in various areas including technology, strategy, operations, human resources and transactions.
Consulting: Providing consulting services in areas such as cybersecurity, risk management, performance improvement and sustainability.
Global Presence: EY has a large global footprint with member firms operating in more than 150 countries. Thanks to its extensive network, the company can serve customers from different industries and regions.
Clientele: EY serves a wide range of clients, including multinationals, government agencies, non-profit organizations and high net worth individuals. It caters to customers across a variety of industries including financial services, technology, healthcare, manufacturing, energy and consumer products.
Focus on technology and innovation: EY emphasizes the importance of technology and innovation in the delivery of its services. The company invests in digital transformation, data analytics, automation and new technologies to enhance its capabilities and help clients navigate the digital landscape.
Thought Leadership: Known for its thought leadership initiatives, EY produces research reports, insights and perspectives on various business and industry topics. These resources help clients stay current on emerging trends, regulatory changes and market dynamics.
Talent development: EY places great emphasis on talent development and offers its employees various programs and opportunities to improve their skills, knowledge and career development. The company is known for its inclusive work culture, professional development initiatives and commitment to diversity and inclusion.
Awards and Recognition: EY has received numerous awards and accolades for its service, innovation and workplace culture. The company has always been one of the best professional services companies in the world.
It is important to note that specific services, offerings and organizational structure may vary by region and country. For more detailed and updated information about EY, we encourage you to visit the official website or contact the representatives directly.
Job Details:
- Company: EY
- Role: Database Developer
- Location: Bangalore
- Qualification: Any Bachelor's Degree
- Work Experience: 1+ Years
- Salary: 4LPA to 13LPA Approx.
- Company: EY
- Role: Database Developer
- Location: Bangalore
- Qualification: Any Bachelor's Degree
- Work Experience: 1+ Years
- Salary: 4LPA to 13LPA Approx.
Roles And Responsibilities:
- Designing and implementing scalable, effective database architectures and schemas in accordance with business requirements is known as database design and development. Tables, columns, relationships, and restrictions can all be defined in this way.
- Writing sophisticated SQL queries, stored procedures, functions, and triggers to access, modify, and update data in databases is known as SQL programming. query performance and efficiency optimisation.
- Database performance tuning: Improving database performance by analysing performance, locating bottlenecks, and optimising queries, indexes, and configurations. monitoring and fixing problems with database scalability and performance.
- Data Integration and ETL: Creating and maintaining Extract, Transform, Load (ETL) procedures to gather data from diverse sources, modify it to conform to the target database schema, and load it into the database. ensuring data accuracy and quality when integrating.
- To reflect the structure and relationships of the data, logical and physical data models must be created and maintained. working together with stakeholders to comprehend data requirements and create suitable data models.
- Database Security: Setting up and maintaining user access restrictions, permissions, and encryption for databases. ensuring adherence to data security and privacy laws.
- Database administration and maintenance: Executing standard database maintenance procedures such backup and recovery, data erasure, and database optimisation. monitoring database availability, capacity, and performance.
- Extracting and analysing data from databases to enable business reporting and decision-making is known as "data analysis and reporting." Utilizing reporting tools and technologies, creating and maintaining reports and dashboards.
- Planning and carrying out data migration initiatives to transfer data between databases or upgrade current databases to more recent ones. minimising downtime and ensuring data integrity during upgrades or relocation.
- Collaboration and communication: Getting to know developers', data analysts', and stakeholders' needs for data and offering technical assistance. coordinating with cross-functional teams to guarantee data integrity and consistency.
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Skills Required:
- Oracle, MySQL, Microsoft SQL Server, PostgreSQL, and MongoDB are just a few examples of well-known database management systems (DBMS) that one should be proficient with when dealing with. knowledge of their capabilities, features, and syntax.
- Strong SQL (Structured Query Language) programming skills are necessary for writing complicated queries, making database objects, and manipulating data. understanding of sophisticated SQL principles like joins, subqueries, and performance improvement strategies.
- Ability to plan and develop effective database schemas and data models in accordance with business needs. knowledge of database optimization techniques such as indexing, normalization, and denormalization.
- Knowledge of extract, transform, and load (ETL) procedures for integrating data from multiple sources into databases. understanding of data integration programmers like Talent, Informatic, or SSIS (SQL Server Integration Services).
- familiarity with the theories and methods of data warehousing. understanding of dimensional modelling, working with data warehouses or data marts, and designing star and snowflake schema.
- Writing scripts (using languages like SQL, PowerShell, or Python, for example) to automate database tasks, data migration, and standard maintenance. familiarity with database administration activities, such as automated job scheduling and backup and recovery.
- Database Compliance and Security: Knowledge of database security concepts, including encryption, access controls, and data privacy laws (such as GDPR, HIPAA). understanding of best practices and database security features.
- Data Extraction and Analysis for Reporting and Data Analysis: Expertise in data extraction and analysis from databases for reporting and data analysis. familiarity with data visualization principles and reporting technologies (such as Tableau and Power BI).
- Oracle, MySQL, Microsoft SQL Server, PostgreSQL, and MongoDB are just a few examples of well-known database management systems (DBMS) that one should be proficient with when dealing with. knowledge of their capabilities, features, and syntax.
- Strong SQL (Structured Query Language) programming skills are necessary for writing complicated queries, making database objects, and manipulating data. understanding of sophisticated SQL principles like joins, subqueries, and performance improvement strategies.
- Ability to plan and develop effective database schemas and data models in accordance with business needs. knowledge of database optimization techniques such as indexing, normalization, and denormalization.
- Knowledge of extract, transform, and load (ETL) procedures for integrating data from multiple sources into databases. understanding of data integration programmers like Talent, Informatic, or SSIS (SQL Server Integration Services).
- familiarity with the theories and methods of data warehousing. understanding of dimensional modelling, working with data warehouses or data marts, and designing star and snowflake schema.
- Writing scripts (using languages like SQL, PowerShell, or Python, for example) to automate database tasks, data migration, and standard maintenance. familiarity with database administration activities, such as automated job scheduling and backup and recovery.
- Database Compliance and Security: Knowledge of database security concepts, including encryption, access controls, and data privacy laws (such as GDPR, HIPAA). understanding of best practices and database security features.
- Data Extraction and Analysis for Reporting and Data Analysis: Expertise in data extraction and analysis from databases for reporting and data analysis. familiarity with data visualization principles and reporting technologies (such as Tableau and Power BI).
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