Job Location: Bangalore/Bengaluru
Specific responsibilities include:
You should have expertise in designing, implementing, and operating stable, scalable,solutions to flow data from production systems into analytical data platform (big data tech stack MPP) and into end-user facing applications for both real-time and batch use
cases
You should be able to work with business customers in a fast paced environment
understanding the business requirements and implementing analytical solutions.
You should have experience in the design, creation, management, and business use of large datasets
Contribute in designing platforms as consumable data services across the organization using Big Data tech stack
Build and execute data modeling projects across multiple tech stacks i.e. big data, MPP, OLAP using agile development techniques
Challenge status quo and propose innovative ways to process, model, consume data when it comes to tech stack choices or design principles
Build and integrate robust data processing pipelines for enterprise-level business
analytics.
Strong engineering mindset – build automated monitoring, alerting, self healing
(restartability/graceful failures) features while building the consumption pipelines
Translate business requirements into technical specification
(fact / dimension / filters / derivations / aggregations)
Assist business analysts in understanding data models, reports, dashboards.
As needed, assist other staff with reporting, debugging data accuracy issues and other related functions.
Build front-end visualization using available BI tools in line with Business Analysts
requirements.
An ideal candidate will have excellent communication skills to be able to work with engineering, product and business owners to develop and define key business questions and to build data sets that answer those questions.
Above all, you should bring your passion for working with huge data sets and bringing datasets together to answer business questions and drive change
Desired Competencies and Skill sets include:
2-3 years experience with Bachelor’s Degree in Computer Science, Engineering,
Technology or related field required.
1-2 years of relevant software development experience with sound skills in database
modeling (relational, multi-dimensional) & optimization and data architecture – databases
e.g. Vertica
Experience with Enterprise Business Intelligence Platform/Data platform sizing, tuning, optimization and system landscape integration in large-scale, enterprise deployments.
Comfortable in one of the programming language preferably Java, Scala or Python
Good knowledge of Agile, SDLC/CICD practices and tools
Must have experience with Hadoop, Mapreduce, Hive, Spark, Scala programming. Must
have good knowledge of performance tuning/optimizing data processing jobs, debugging time consuming jobs.
Proven experience in development of conceptual, logical, and physical data models for Hadoop, relational, EDW (enterprise data warehouse) and OLAP database solutions.
Good understanding of distributed systems
Experience on BI tool e.g. PowerBI will be desirable
Experience working extensively in multi-petabyte DW environment
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