Company Name:-
Ericsson

Job Location:-
Gurgaon, Haryana

Job Summary:-
As the tech firm that created the mobile world, and with more than 54,000 patents to our name, we’ve made it our business to make a mark.

When joining our team at Ericsson you are empowered to learn, lead and perform at your best, shaping the future of technology.

This is a place where you’re welcomed as your own perfectly unique self, and celebrated for the skills, talent, and perspective you bring to the team.

Are you in?
Come, and be where it begins.

Our Exciting Opportunity
We are now looking for a BigData Developer that will involved into the creation of customer solutions.

As a Software Developer, will be involved in all phases of the software development lifecycle; working towards accurately engineered information systems, containing software as the major component, to meet agreed business requirements.

To be successful in the role you must have
The Bigdata Engineer shall build the solutions which architect has crafted.

Develop, maintain, test and evaluate BigData solutions.

Builds Large Scale data processing systems.

Understands how to apply technologies to seek BigData problems and to develop innovative BigData solutions.

Collecting, Parsing, Managing, Analysing and visualizing large sets of data to turn information into insights using multiple platforms.

Crafting efficient and robust ETL workflows.

Detailing requirements and resolve ambiguities.

Craft and develop data applications using selected tools and frameworks as required and requested.

Perform tasks such as writing scripts, web scraping, calling APIs, write SQL queries, etc.

Support business decisions with ad hoc analysis as needed (PoC’s).

Solution Acceptance (UAT) towards Customer.

Identify Scope Creep, Change Requests during delivery phase.

Key Qualifications:
10+ Years of demonstrated ability in data engineering.

Bachelor’s Degree or more in Computer Science or a related field.

A proven track record of data management showing your magnificent execution and attention to detail.

Solid understanding of and experience with statistics.

Programming experience, ideally in Java, Spark, Scala, Kafka, Hive, Scoop, Oozie, languages to meet goals and objectives.

Experience in Distributed file system like HDFS, GlusterFS.

Experience in NSQL databases.

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