MSCI off Campus Recruitment 2023 : Hiring As Data Engineer

MSCI off Campus Recruiting 2023 : Hiring As Data Engineer. BE/BTech/BCA/MCA/BSc/MSc (IT/CS) Candidate can apply for the post.

Complete details are given below:-

• Company – MSCI
• Roles – Data Engineer
• Qualifications – BE/BTech/BCA/MCA/BSc/MSc (IT/CS)
• Location -Mumbai
• Work Experience -0-2
• Salary -3.6 LPA – 7 LPA

ABOUT THE COMPANY

MSCI Inc. is a leading provider of investment decision support tools, analytics, and services for investors worldwide. The company specializes in offering a range of products and services that help institutional investors assess risk, analyze performance, and make informed investment decisions.

MSCI’s core offering is its suite of indexes, including the widely recognized MSCI World Index and MSCI Emerging Markets Index. These indexes serve as benchmarks for investors to measure the performance of various markets and asset classes. MSCI also provides custom index solutions tailored to specific investment strategies and objectives.

In addition to indexes, MSCI offers a range of analytical tools and services to support investment research and risk management. These tools include risk models, factor analysis, portfolio optimization, and performance attribution.

MSCI’s clients include asset managers, pension funds, hedge funds, banks, and other financial institutions. The company’s products and services help investors gain insights into their portfolios, assess the risk-return characteristics of their investments, and align their strategies with their investment goals.

Furthermore, MSCI places a strong emphasis on environmental, social, and governance (ESG) factors in its investment research and products. The company provides ESG ratings, data, and research to help investors incorporate sustainability considerations into their investment decisions.

Overall, MSCI plays a critical role in providing investment decision support tools and services to institutional investors worldwide. Its indexes, analytics, and ESG solutions help investors navigate the complex investment landscape, manage risk, and make informed investment choices.

Job Responsibility For Data Engineer Role

• Data Architecture and Design: Designing and implementing data infrastructure, including data models, databases, data lakes, and data warehouses. Collaborating with stakeholders to understand data requirements and ensuring efficient data storage and retrieval.
• Data Extraction and Integration: Extracting data from various sources, such as databases, APIs, and external systems. Developing ETL (Extract, Transform, Load) processes to integrate data from different sources into a unified format suitable for analysis.
• Data Pipeline Development: Building and maintaining data pipelines to ensure the smooth and timely flow of data across different systems and platforms. Implementing data ingestion, transformation, and validation processes to ensure data quality and integrity.
• Data Transformation and Cleansing: Cleaning, transforming, and normalizing raw data to make it suitable for analysis and reporting. Applying data cleansing techniques to identify and correct data anomalies, inconsistencies, or errors.
• Data Modeling and Optimization: Creating data models that support efficient querying, data retrieval, and analysis. Optimizing database structures and queries for performance, scalability, and data processing efficiency.

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Skills Required For Data Engineer

• Programming Skills: Proficiency in programming languages commonly used in data engineering, such as Python, Java, or Scala. Knowledge of SQL for working with databases.
• Data Warehousing: Experience with data warehousing concepts and technologies, such as data modeling, schema design, and ETL (Extract, Transform, Load) processes.
• Database Management: Strong understanding of relational databases (e.g., Oracle, MySQL, PostgreSQL) and experience with database management systems (DBMS). Knowledge of non-relational databases (e.g., MongoDB, Cassandra) is also beneficial.
• Data Integration and ETL: Expertise in designing and implementing data integration solutions, including data extraction from various sources, data transformation, and data loading into target systems. Familiarity with ETL tools such as Apache Spark, Informatica, or Talend.
• Big Data Technologies: Knowledge of big data technologies such as Apache Hadoop, Apache Spark, or Apache Kafka. Understanding of distributed computing concepts and experience with distributed data processing frameworks.

HOW TO APPLY FOR MSCI 2023 ?

To apply for the MSCI Recruitment 2023 interested candidates must follow the procedure outlined below:

• Click on the “Apply here” button provided below. You will be redirected to the company official career page.
• Click on “Apply Online”.
• If you have not registered before, create an account.
• After registration, login and fill in the application form with all the necessary details.
• Submit all relevant documents, if requested (e.g. resume, mark sheet, ID proof).
• Provide accurate information in your application.
• Verify that all the details entered are correct.
• Submit the application process after verification.

INTERESTED CANDIDATES CAN APPLY THROUGH THE BELOW LINK

ROLE- Data Engineer (Mumbai Location)

MSCI 2023 – Frequently Asked Question ?

What is the MSCI selection process?

The selection process will be based on a Written test followed by Technical and Hr interviews.

What is the MSCI salary for freshers?

The average of 3.6 LPA – 7 LPA is based on the reports of Glass door and Ambition Box.

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Disclaimer

The Recruitment Information Provided above is for Informational Purposes only . The above Recruitment Information has been taken from the official site of the Organization. We do not provide any Recruitment guarantee. Recruitment is to be done as per the official recruitment process of the company. We don’t charge any fee for providing this job Information.