Data Science
Solutions Architect
Roles and Responsibilities
- Develop Big data solutions for Fortune-500 customers
- Work on Big Data Ingestion, Pre-processing, Storage, Parsing, Analyzing and Visualization
- Study large sets of data to turn information into business insights
- Get End-to-end ownership of deliverables - POC to production
- Work with senior executives of top brands and provide expert recommendations
- Work with a team of exceptionally talented and dedicated Data Scientists and Engineers
- BYOP - Bring your own process. We like new things.
Qualifications and Skills
- Bachelors or Masters Degree in Computer Science/Information Technology/Statistics/Mathematics or relevant streams
- 5-10 years
- Proficiency in Big Data ecosystems like Azure, Amazon, Google Cloud
- Experience with Analytics tools like Google Analytics, Firebase, Tableau, Power-BI, Microstrategy
- Experience in distributed computing frameworks: Apache Hadoop 2.0 (YARN; Map Reduce & HDFS) and associated technologies -- one or more of Hive, Sqoop, Flume, Zookeeper, etc.
- Experience with Kafka / Apache Spark (Streaming, SQL, MLLib)/ Apache Apex / Apache Storm
- Experience with predictive & prescriptive statistical analysis
- Problem-solving: Ability to break the problem into small problems and think of relevant techniques which can be explored & used to cater to those
- Experience working within a Linux computing environment and use of command-line tools
- Experience and interest in Machine Learning is a plus
Benefits
Flexible working environment.
Health Insurance Coverage.
Accelarated Career Planning.
Competitive compensation and perks.
Rewards and Recognition.
Competitive Environment.
Location
A world without boundaries - we hire globally and offer remote and hybrid
working options. We are headquartered in Pune (India) and the Silicon Valley.
Equal Opportunity Employer
Mindstix is committed to an inclusive and diverse work environment. We do not
discriminate based on race, colour, ethnicity, ancestry, national origin,
religion, gender, gender identity, gender expression, sexual orientation, age,
disability, veteran status, genetic information, marital status or any other
legally protected status.
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