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

Responsibilities:

• 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

Responsibilities:

• 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

Responsibilities:

• 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.

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Big Data Analytics at Best Infosystems Ltd

Location: Noida, Uttar Pradesh

Responsibilities:

• 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.

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Principal Engineer- Big Data Analytics at Oracle

Location: Bengaluru, Karnataka

Responsibilities:

• 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.

Apply for these big data analytics jobs here!