Senior Data Engineer (Big Data) Pune/Remote Job Vacancy in MINDBODY Pune, Maharashtra – Updated today

Are you looking for a New Job or Looking for better opportunities?
We got a New Job Opening for

Full Details :
Company Name : MINDBODY
Location : Pune, Maharashtra
Position :

Job Description : Connecting the world to wellness

MINDBODY emerged from the simple idea that small business owners deserve the time to focus on what matters most: their customers. Our software has transformed that vision into the world’s leading wellness services marketplace, linking hundreds of thousands of passionate health, wellness and beauty professionals to the millions of clients they serve.

MINDBODY is a cloud-based business management software company for the wellness services industry.

We serve about 35 million consumers located in 130 countries & territories.

At MINDBODY, work-life balance takes on a new meaning for us. When your life goals & values align with the work you do every day, balance is second nature.

We help inspired business owners seamlessly succeed & individuals all over the globe lead healthier, happier lives with our technology.

Company Overview – https://company.mindbodyonline.com/

Follow our careers page here – https://mindbodyonline.com/careers
JOB SUMMARY:

The Big Data Engineer II provides strong data engineering platform and database tools, coding execution and delivery of data layer for Data Science core engines, focused on large, industry-scale B2B and B2C datasets. The Big Data Engineer II expands and optimizes our data and data pipeline architecture, as well as optimizes data flow and collection for cross functional teams. This role supports software developers, database architects, data analysts and data scientists on data initiatives and ensures optimal data delivery architecture is consistent throughout ongoing projects.

MINIMUM QUALIFICATIONS AND REQUIREMENTS
5+ years of experience in Data Science/Machine Learning
Bachelor’s Degree in Computer Science Engineering, Mathematics, Applied Sciences, Statistics or equivalent experience required
Advanced SQL experience working with relational databases, query authoring as well as working familiarity with a variety of databases
Experience with big data tools: Hadoop, Spark, Kafka, etc.
Experience with relational SQL and NoSQL databases, including Postgres and Cassandra
Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
Experience with AWS cloud services: EC2, EMR, RDS, Redshift
Experience with stream-processing systems: Storm, Spark-Streaming, etc.
Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
Strong analytic skills related to working with unstructured datasets
Build processes supporting data transformation, data structures, metadata, dependency and workload management
A successful history of manipulating, processing and extracting value from large disconnected datasets
Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores

PRINCIPAL DUTIES AND RESPONSIBILITIES:

Provides hands-on execution and implementation of data science models
Works under general supervision to identify and analyze problems
Weighs relevance and accuracy of information
Uses professional, fundamental concepts, practices and procedures of the artificial intelligence and machine learning discipline
Uses data to support own point of view when interacting with the team
Provides information, analysis and recommendations in support of the machine learning team
Takes actions that are consistent with goals and objectives
Creates and maintains optimal data pipeline architecture
Assembles large, complex data sets that meet functional / non-functional business requirements
Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies
Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data related technical issues and support their data infrastructure needs
Keep our data separate and secure across national boundaries through multiple data centers and AWS regions
Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader
Work with data and analytics experts to strive for greater functionality in our data systems
All other duties as assigned

SCOPE OF SUPERVISION/AUTHORITY:
Duties for this position are performed under limited supervision
You will be responsible for planning and organizing their own work, which may or may not be directly related to general business operations of the company or its customers
You will receive training and guidance from manager as needed
Individual contributors may be required to regularly exercise discretion and independent judgment with respect to matters of significance depending on the nature of the position
There is no direct management responsibility for the position

WORK ENVIRONMENT AND PHYSICAL DEMANDS:
You will need dexterity of hands and fingers to operate a computer keyboard
This position is mostly stationary and will be required to remain stationary for extended periods of time
Specific vision abilities required by this position include close vision, color vision, and the ability to adjust focus
The noise level in the work environment is usually moderately quiet

This post is listed Under  Technology
Disclaimer : Hugeshout works to publish latest job info only and is no where responsible for any errors. Users must Research on their own before joining any company