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Posted By.... Rinku on 2020-01-28
Big Data Engineer
Mu Sigma Business Solutions Pvt. Ltd
Big Data tops many a list of business priorities, thanks to its growing volume, velocity, and variety. However, it is not data, but change that is the cause of anxiety to organization, bringing with it greater complexity and more data.
The challenge here is that analytical thinking isn't keeping pace with the rate of change in business. This is where we come in - we address the gaps.
Mu Sigma is one of the world's largest Decision Sciences and analytics firm. We help over 140 Fortune 500 clients, across 10 industry verticals, to institutionalize data-driven decision making, and to harness Big Data. We provide our clients with a holistic ecosystem of proprietary technology platforms, processes and people. This ecosystem helps us scale the use of our unique interdisciplinary approach of combining math, business, technology, behavioral science and design thinking to operationalize Decision Science as opposed to Data Science.
Our unique approach to problem solving using cross-industry expertise corroborates our sustainable engagement model with our clients still further, making us one of the most preferred analytics and Decision Sciences partners.
With over 3500 Decision Sciences professionals, we pride in being a category and career defining company. As we continue to scale, we are also looking at hiring the right talent across various levels in our organization. Our unique talent management philosophy has been critically acclaimed by the likes of Harvard Business Review.
Role: Developer/Senior Developer/Lead Bigdata Engineer
Experience: 1-6 years
Role & responsibilities:
Collaborate with developers, project managers and business analysts in conceptualizing, designing and developing new database applications, modules and enhancements.
Assist in defining software development project plans, including scoping, scheduling, providing time estimates for programming tasks and implementation plans and schedules.
Responsible for developing estimates on related project work.
Ability to work and collaborate with developers, project managers, business analysts, account managers, architects and/or technical leads to achieve business and functional requirements. Ability to work with front end design team and/or tech lead to achieve functional requirements.
Implement solutions that are reliable, scalable, and perform at a high-level to meet the service levels associated with mission-critical database solutions.
Deliver high-quality solutions to business owners to ensure alignment of technical solution with business objectives
Conduct research on emerging database and application development software products, languages, and standards
Maintain a current awareness of technological developments and trends as it relates to databases, development methodologies and tools.
Work with multiple teams to guide them through best practices to meet industry standards in the entire software development life cycle
Familiarity with AGILE/Scrum development
Skills & Competencies:
Must have executed multiple projects on BigData platform using Hive, Pig, Shell Scripting, HDFS, Spark, Scala, Kafka
Must have good knowledge on any one of the RDBMS language - SQL Server/Oracle/DB2/SAP HANA/MySQL
Expertise in SQL, T-SQL/PL SQL concepts
Must have good knowledge on any one of ETL tool along with data warehouse, data mart concepts
Experience with SQL at an expert level and creating ad hoc queries, scripts, and macros
Experience in optimizing and tuning of long running SQL queries
Experience in developing end to end solutions, right from requirement gathering to deployment
Good to have exposure to NoSQL database systems - Cassandra/Mongo DB etc
Exposure to Cloud Migration [AWS/Azure/GCP] is an added advantage
We are NOT looking for people who want to work only on specific tools and technologies. Must be open to learn new tools & technologies quickly and implement
Functional AreaAnalytics & Business Intelligence
Employment TypeFull Time, Permanent
Role CategoryAnalytics & BI
UG :Any Graduate in Any Specialization
PG :Any Postgraduate in Any Specialization, Post Graduation Not Required
Doctorate :Doctorate Not Required, Any Doctorate in Any Specialization
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