These big data analytics jobs can scale up your career to heights

Big data takes care of large amounts of data to uncover hidden patterns, information, and correlations. It has now become possible to analyse the data and get insights from it immediately. The concept of big data analytics has been around for several years. Top data analytics companies get significant value from it, leading to an exponential growth in big data careers, leading to an increase in the number of big data analytics jobs. There is also significant growth in big data analytics in India. Here are the top big data analytics jobs to apply for without fail this December.



Business Analyst- Big Data and AWS at TalentCo Search

Location: Hyderabad, Telangana


Substantial hands-on experience with data handling. Capable of managing large volumes of data, extracting, clean and comprehending
Should contribute meaningfully to brainstorming discussions around nuances of the project
Should have experience in advanced statistics and machine learning algorithms is a plus
Developing comprehensible analytical solutions to solve business problems using domain knowledge or statistical procedures depending on the requirements of the project
Develop and define an area of expertise and take relevant pieces of training on the same for the organization
Contribute to organisation level activities such as taking interviews
Relevant analytics experience in e-commerce, Telcom, or any other domain
Big data environments such as Big Query, and AWS Redshift
Should have visualisation capabilities such as Tableau, Qlik-view, Spotfire, MSFT BI, Looker.
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Big Data Developer at Techgig

Location: Secunderabad, Telangana


Participate in all aspects of Big Data solution delivery life cycle including analysis, development, design, testing, production deployment and support
Developing standardized practices for delivering new products and capabilities using Big Data technologies such as transformation, data acquisition, and analysis
Define and develop client-specific best practices around data management within a Hadoop environment
Design and develop data ingestion programs to process large data sets in batch mode using Pig, HIVE, and Sqoop technologies
Develop data ingestion programs to ingest real-time data from LIVE sources using Spark Streaming, Apache Kafka.
Should have experience in scheduling Hadoop jobs using oozie workflow and Falcon.
Proven experience in implementing security in the Hadoop ecosystem using Sentry, Kerberos, Knox, and Ranger
Worked on developing REST APIs using standard frameworks.
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Consultant- Big Data Developer at Genpact

Location: Hyderabad, Telangana


Work with big data analytics platforms
Writing Unix shell scripts
Writing complex SQL and data pipelines on Core Spark, Hive, Shell Scripting, Kafka using Java, Scala, and Python
Should have a strong core Python programming and knowledge data analysis APIs like Data frames, and Pandas
Strong understanding of big data analytics platforms and ETL in the context of big data
Should have good Hadoop internals mainly on File Formats and Hive
Good knowledge of Spark Internals RDD and SparkSQL
Should have good communication and presentation skills.
Apply for these big data analytics jobs here!

Big Data Analytics at Best Infosystems Ltd

Location: Noida, Uttar Pradesh


Should have 2 to 10 years of hands-on experience in programming in Microsoft
Should be proficient in databases modelling SQL skills in Oracle, SQL, and PostgreSQL
Proficient in Design patterns architectural patterns
Should have OOAD use UML in the application of design patterns
Experience in DevOps pipeline
Experience with different development methodologies
Ensure clarity on NFR and implement these requirements
Define logical, technical views of architecture
Define reusable components, common schemas, standards to be used
Review design to make sure design is aligned with architecture
Lead performance engineering and capacity planning exercises
Help PM in effort estimation and planning.
Apply for these big data analytics jobs here!

Principal Engineer- Big Data Analytics at Oracle

Location: Bengaluru, Karnataka


Working on distributed data-intensive systems, often as part of open-source communities
Taking ownership of critical parts of the cloud services including shaping its direction
Code, integrate, and operationalise open and closed source data ecosystem components for Oracle cloud service offerings
Should become an active member of the Apache open-source community when working on open-source components
Presenting work at conferences, meeting,s and in other discussions
Working with and supporting customers/users of the cloud services
Should have an understanding of how distributed resilient software is built and deployed
Prior experience in building, or contributing, distributed data-intensive systems
Experience with large projects
Experience with open-source software in big data ecosystems
Expertise in coding in Scala and Java
Passion for learning and improving oneself and the team around you.

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