Google, Accenture, Wipro, and Amazon are hiring Data Science experts

 

Google, Accenture, Wipro, and Amazon are hiring Data Science experts

 

Data is one of the major parts of today’s business world that has increased the job opportunities for experts. Companies are hiring data professionals that can help them use the raw data in a way that can benefit the business. Here are a few job opportunities in Data Science that experts can watch out for.

1. Data Scientist Technical Lead at Google

Location - Bengaluru

Qualification -

·         5 years of experience in people management or leadership

·         Master's degree in a quantitative discipline (e.g., Statistics, Bioinformatics, Economics) or equivalent practical experience

·         Experience with statistical software (e.g., R, Python, MATLAB, pandas) and database languages

·         10 years of experience in data analysis or related field as a Data Scientist, Computational Biologist, Statistician, or bioinformatician

Responsibilities -

·         Build and prototype analysis pipelines iteratively to provide insights at scale

·         Work with large datasets and solve difficult analysis problems, applying advanced analytical methods

·         Manage a data science team. Interact cross-functionally with a wide variety of leaders and teams

·         Make business recommendations with effective presentations of findings at multiple levels of stakeholders through visual displays of quantitative information

·         Develop a comprehensive understanding of Google data structures and metrics, advocating for changes for product development and sales activity

·         Conduct end-to-end analyses, including data gathering and requirements specification, processing, analysis, ongoing deliverables, and presentations

Apply

2. DataBricks - Data Engineering-Developer at Wipro

Location - Hyderabad

Experience - Spark & Apache Big Data Technologies

Skills -

·         Knowledge of C# & ASP.NET SQL skills for pipeline development and analysis

·         Azure IoT, Streaming services, Azure data platform tooling including Azure Functions, Logic Apps, ADF, ADLS, AzureML

·         Integrated toolsets for supporting CI/CD, for example, GIT or BitBucket, and cloud deployment services

·         Strong data analysis skills including Entity Relationship Diagrams, Object Graph Mapping. Experience of leveraging

·         Continuous integration/deployment and development techniques Exposure to Scrum/Agile delivery methodologies

·         Leveraging and combining data from large data warehouses, optimising queries and consuming data from APIs

·         Responsible for development, support, maintenance and implementation of a complex project module

·         Should be able to respond to technical queries/requests from team members and customers

·         Should be able to work as an independent team member, execute your tasks, and capable of applying judgment to plan

Apply

3. Data Analytics and Interpretation Application Developer at Accenture

Location - Bengaluru

Experience - 6-8 years

Must-Have Skills - Web Application Development, Informatica PowerCenter, Data Analytics and Interpretation, Master Data Management

Responsibilities -

·         Experience in Informatica MDM design, configuration and implementation for Real-time Integration components Creating Custom UIs

·         5 years minimum, Worked on Data analytics, ETL, Oracle, Sybase/MSSQL/MySQL, Big data

·         Develop Informatica MDM User Exits, Match rules etc

·         Knowledge of 3rds Party vendor Integrations such as DB o Must have WebService

·         Performance Tuning of Match rules and existing processes Working knowledge of SOAP/REST/XML

·         Must have WebService Design and development experience

Apply

4. Data Engineer at Amazon

Location - Hyderabad

Qualification -

·         Bachelor's degree in Computer Science, Engineering, Mathematics, or a related technical discipline

·         3+ years of industry experience in Software Development, Data Engineering, Business Intelligence, Data Science

·         Effective analytical, troubleshooting, and problem-solving skills

·         Experience in coding and automating processes

·         Hands-on experience and advanced knowledge of SQL

·         Experience with data modelling, data warehousing, and building ETL pipelines

·         Strong customer focus, ownership, urgency, and drive

·         Experience using big data technologies (Hadoop, Hive, Hbase, Spark, EMR, etc.)

Apply