Opening Alert: Top Big Data Jobs to Apply in December 2021

Entry-level big data jobs pay you US$40,000 while mid-level pay US$52,000 per annum

Are you looking for a career with a lot of explorations and new opportunities? If so, then big data is the right option. With technology influencing every corner of the world, a career in data science is also undergoing drastic fluctuations and demand due to its fluid and flexible nature. According to a report, entry-level big data jobs pay you US$40,000 while mid-level and expert-level jobs pay US$52,000 and US$74,000 respectively. Choosing big data careers can also help you set your foot on MNCs across different industries. It will give you a whole new exposure to datasets and insights. If you are interested in technology and opting for a career that could forever amuse you, then go for big data jobs. Analytics Insight has listed the top big data jobs that aspirants should apply for in December 2021.

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Top Big Data Jobs to Apply

Lead Consultant- Big Data & Python at Genpact

Location(s): Bengaluru

Roles and Responsibilities: As a lead consultant- big data and python, the candidate will be responsible for the development and support of applications using big data technologies and python. He/she should handle L3 support issues with supporting/troubleshooting applications and working on enhancements. They should look for the root causes and provide long-term fixes or automation. The candidate should maintain the upkeep of the environment by owing DevOps techniques to deploy code, upgrade environments. 

Qualifications: 

• The candidate should own a B.Tech, B.E, or MCA degree. 
• Python, Shell Scripting, Big Data, Teradata, Hadoop, HiveDB, Google Cloud, Big Query, etc are preferred. 
• He/she should also have at least 8-10 years of experience in relevant fields. 

Apply here for the job.

Big Data Analyst at TCS

Location(s): Hyderabad, Bengaluru, Kolkata, Chennai

Roles and Responsibilities: The big data analyst should work on data delivery and feature generation for analytical projects and reporting. They should participate in Agile Ceremonys and present the analysis outcome and performance to business and support ad-hoc analysis as required. 

Qualifications: 

• The candidate should have 4+ years of experience in Strong SQL, Hive, and Hadoop.
• He/she should have high energy and self-motivated professional with the ability to make things happen and adhere to strict deadlines. 
• They should have a good understanding of data domain and data-centric projects, data journey, and data profiling. 

Apply here for the job.

Big Data Engineer at Evalueserve

Location(s): Gurugram, Bengaluru (WFH during Covid)

Roles and Responsibilities: The big data engineer will be responsible for leading and deploying projects across a wide range of data management solutions, both on-premise and in the cloud. As a lead analyst, the candidate will be leading and project managing multiple projects in the data engineering sphere. 

Qualifications: 

• The candidate should have good knowledge of different cloud platforms. 
• He/she should have knowledge of technology like Snowflake, shell scripting, etc. 
• Proven ability to manage and execute competitive pilots with hands-on technical knowledge is preferred. 
• They should demonstrate strong functional expertise by providing content leadership on projects. 
• The candidate should be skilled at leading and coordinating across diverse teams to achieve desired outcomes. 
• They should have the ability to manage and contribute to multiple projects at the same time. 

Apply here for the job.

Hadoop Big Data Developer at Applied Materials

Location(s): Bengaluru

Roles and Responsibilities: As a Hadoop big data developer, the candidate should use best practices and knowledge of internal or external business issues to improve products or services. He/she should work as part of the GIS BIDM globally distributed team to design and implement Hadoop big data solutions in alignment with business needs and project schedules. They should code, test, and document new or modified data systems to create robust and scalable applications for data analytics. The candidate should perform technology and product research to better define requirements, resolve important issues, and improve the overall capabilities of the analytics technology stack. 

Qualifications: 

• The candidate should have 7+ years of data warehousing/engineering, data modeling and software solutions design, and development experience. 
• He/she should have strong hands-on experience with big data systems such as Hdfs, Hive, Impala, and Spark on Cloudera Hadoop distribution. 
• The ability to research and incubate new technologies and frameworks is mandated. 

Apply here for the job.

Data Engineer: Big Data at IBM

Location(s): Pune

Roles and Responsibilities: As a data engineer at IBM, the candidate should develop, maintain, evaluate, and test big data solutions. He/she will be involved in the design of data solutions using Hadoop based technologies along with Java and Spark programming. They are responsible to ingest data from files, streams, and databases. The candidate should be responsible to develop efficient software code for multiple use cases leveraging Core Java and big data technologies for various use cases built on the platform. 

Qualifications: 

• The candidate must have prior experience in big data, Hadoop, pyspark, python, hive, and SQL. 
• He/she should also be experienced in database design using Stored Procedures, Functions, and have strong experience in writing complex queries for SQL Server. 

Apply here for the job.