data engineer Job Vacancy in Randstad Bengaluru, Karnataka – Updated today
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Full Details :
Company Name : Randstad
Location : Bengaluru, Karnataka
Position :
Job Description : summary
randstad india
permanent
specialism
information technology
reference number
JPC – 64590
job details
Who are we looking for?
4 to 6 years Data Engineer
Technical Skills:
Responsibilities
Designs and establishes secure and performant data architectures, enhancements, updates, and programming changes for portions and subsystems of data pipelines, repositories or models for structured/unstructured data.
Analyzes design and determines coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution.
Writes and executes complete testing plans, protocols, and documentation for assigned portion of data system or component; identifies and debugs, and creates solutions for issues with code and integration into data system architecture.
Ability to manage and execute on an E2E data project from architecture inputs, to laying pipelines, data processing and dashboard building
Leads a project team of other data engineers to develop reliable, cost effective and high-quality solutions for assigned data system, model, or component.
Collaborates and communicates with project team regarding project progress and issue resolution.
Represents the data engineering team for all phases of larger and more-complex development projects.
Provides guidance and mentoring to less experienced staff members.
Knowledge and Skills
Using data engineering tools, languages, frameworks to mine, cleanse and explore data.
Fluent in NoSQL & relational based systems.
Fluent in Databricks
Fluent in complex, distributed and massively parallel systems.
Strong analytical and problem-solving skills with ability to represent complex algorithms in software.
Designing data systems/solutions to manage complex data.
Strong understanding of database technologies and management systems.
Atleast 1 year of exposure to working on AWS systems (Redshift and S3 must, Good to have EC2,lambda)
Fluency in Python and Linux shell scripting and small scale server maintenance
Strong understanding of cloud-based systems/services.
Database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools.
Ability to lay pipelines across multiple systems is a key requirement
Familiarity with BI visualization tools, e.g. Looker, PowerBI, Tableau
Behavioral Skills:
Ability to use a wide variety of open source technologies and tools
Excellent written and verbal communication skills; mastery in English and local language.
Ability to effectively communicate product architectures, design proposals and negotiate options at management levels
Collaborates with peers, junior engineers, data scientists and project team.
Typically interacts with high-level Individual Contributors, Managers and Program Teams.
Leads a project requiring data engineering solutions development
Qualification:
Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering or equivalent.
4 to 6 years of experience
Who are we?
Mphasis is a leading IT solutions provider, offering Applications, Business Process Outsourcing (BPO) and Infrastructure services globally through a combination of technology knowhow, domain and process expertise. Over the years we have left an indelible impression in the IT solutions domain with an impressive clientele and an extensive global presence. The accolades we have been garnering can be attributed to our undeterred focus in delivering quality solutions across verticals that meet the challenging requirements of our esteemed customers. Our integrated solutions offering is aimed at creating value for our customers, helping them in improving their business processes with minimum hassles and capital outlays.
…
Who are we looking for?
4 to 6 years Data Engineer
Technical Skills:
Responsibilities
Designs and establishes secure and performant data architectures, enhancements, updates, and programming changes for portions and subsystems of data pipelines, repositories or models for structured/unstructured data.
Analyzes design and determines coding, programming, and integration activities required based on general objectives and knowledge of overall architecture of product or solution.
Writes and executes complete testing plans, protocols, and documentation for assigned portion of data system or component; identifies and debugs, and creates solutions for issues with code and integration into data system architecture.
Ability to manage and execute on an E2E data project from architecture inputs, to laying pipelines, data processing and dashboard building
Leads a project team of other data engineers to develop reliable, cost effective and high-quality solutions for assigned data system, model, or component.
Collaborates and communicates with project team regarding project progress and issue resolution.
Represents the data engineering team for all phases of larger and more-complex development projects.
Provides guidance and mentoring to less experienced staff members.
Knowledge and Skills
Using data engineering tools, languages, frameworks to mine, cleanse and explore data.
Fluent in NoSQL & relational based systems.
Fluent in Databricks
Fluent in complex, distributed and massively parallel systems.
Strong analytical and problem-solving skills with ability to represent complex algorithms in software.
Designing data systems/solutions to manage complex data.
Strong understanding of database technologies and management systems.
Atleast 1 year of exposure to working on AWS systems (Redshift and S3 must, Good to have EC2,lambda)
Fluency in Python and Linux shell scripting and small scale server maintenance
Strong understanding of cloud-based systems/services.
Database architecture testing methodology, including execution of test plans, debugging, and testing scripts and tools.
Ability to lay pipelines across multiple systems is a key requirement
Familiarity with BI visualization tools, e.g. Looker, PowerBI, Tableau
Behavioral Skills:
Ability to use a wide variety of open source technologies and tools
Excellent written and verbal communication skills; mastery in English and local language.
Ability to effectively communicate product architectures, design proposals and negotiate options at management levels
Collaborates with peers, junior engineers, data scientists and project team.
Typically interacts with high-level Individual Contributors, Managers and Program Teams.
Leads a project requiring data engineering solutions development
Qualification:
Bachelor’s or Master’s degree in Computer Science, Information Systems, Engineering or equivalent.
4 to 6 years of experience
Who are we?
Mphasis is a leading IT solutions provider, offering Applications, Business Process Outsourcing (BPO) and Infrastructure services globally through a combination of technology knowhow, domain and process expertise. Over the years we have left an indelible impression in the IT solutions domain with an impressive clientele and an extensive global presence. The accolades we have been garnering can be attributed to our undeterred focus in delivering quality solutions across verticals that meet the challenging requirements of our esteemed customers. Our integrated solutions offering is aimed at creating value for our customers, helping them in improving their business processes with minimum hassles and capital outlays.
experience
6
skills
NOSQL
qualifications
B.E/B.Tech
This post is listed Under  Software Development
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