What Does a Big Data Manager Do?

3 min read

A Big Data Manager is a strategic thinker of an organization’s success. He/she is responsible for developing and managing data-oriented systems for business. Big data managers also need to ensure a high level of data quality and accessibility for business intelligence and big data analytics applications. Some organizations are well acquainted with gleaning data, but they are not good at managing and understanding it well. This is where the role of Big Data Managers becomes indispensable. They have data management and data analysis knowledge and skills. They help technical teams and business leaders by simplifying data issues within the company.

Big data managers also help organizations in locating valuable information in large sets of both unstructured and structured data from a variety of sources. Those sources can be call details, system logs, and social media sites, among others.

As a big data manager who manages technical projects, he/she needs to have sufficient knowledge of numerous programming languages such as Python, Java, R, Clojure, Matlab, Pig, or SQL. The manager should also have a basic understanding of Hadoop, Hive, MapReduce, and other technical knowledge. Besides, Big Data Managers require to have a bachelor’s degree in computer science or other information technology disciplines. They must be good at problem-solving skills, data classification to effectively analyze large datasets, and business acumen.

With, Big Data Managers require to have skills and knowledge in Natural Language Processing, Machine learning, Conceptual modeling, Statistical analysis, Hypothesis testing, and predictive modeling.

•  Maintaining databases and performing routine maintenance as necessary

•  Streamlining data collection and analysis procedures to ensure fast access to metrics

•  Generating and reviewing documentation for all database changes or refinements

•  Analyzing data for inconsistencies or anomalies that could skew analytical results

•  Communicating with managers and staff to effectively understand and interpret data changes or requirements

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•  Building relationships with the data management team to meet organizations’ objectives

•  Cultivating data culture to drive data-driven decision making and more

The role of a big data manager is high in demand and the position can be vary based on organizations’ objectives and needs. Here are the top 5 companies currently hiring big data managers in India.

Micron Technology is a semiconductor company that manufactures DRAM, SDRAM, flash memory, SSD, and CMOS image sensing chips. The company is currently looking for Big Data Data Operations Engineers to be part of its IT Data Operations Team within the Enterprise Analytics and Data organization. The Data Operation team at the company works closely with the development team and Micron’s business functions in all aspects of data, data warehousing, and business intelligence supporting and maintaining data assets and Big Data applications and solutions. The candidates for this position will be responsible for:

•  Providing L2 support for Data Warehouse and Business Intelligence (BI) solutions and platforms

•  Participating in design, architecture review and deployment of Data Warehouse data models and solutions

•  Collaborating with business partners and other IT teams to ensure data solutions are available, recover from failures and operate healthily

•  Troubleshooting operational issues, escalations and resolve business partner issues in a timely manner with strong collaboration and care for business priorities

•  Managing knowledge as it relates to Operations and more

PayPal, a leading online payment system that supports online money transfers, creates better ways to manage and move money and offers choice and flexibility when sending payments, paying, or getting paid.

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Yves Mulkers

Yves Mulkers is the founder of 7wData and a widely followed voice in the data and AI community. He curates the 7wData and AI Beat newsletters, reaching hundreds of thousands of data and AI professionals, and writes on data strategy, analytics, AI, and the evolving data ecosystem.