Assistant Manager - Analytics - Product Team

Qualifications & Experience:

▪ 2 - 4 years overall experience in ETLs, data pipeline, Data Warehouse development and database design

▪ Software solution development using Hadoop Technologies such as MapReduce, Hive, Spark, Kafka, Yarn/Mesos etc.

▪ Expert in SQL, worked on advanced SQL for at least 2+ years

▪ Good development skills in Java, Python or other languages

▪ Experience with EMR, S3

▪ Knowledge and exposure to BI applications, e.g. Tableau, Qlikview

▪ Comfortable working in an agile environment

Job Description: Data Engineer

We are looking for a curious Data Engineer to join our extremely fast-growing Tech Team at StanPlus

About RED.Health (Formerly Stanplus Technologies)

Get to know the team:

Join our team and help us build the world’s fastest and most reliable emergency response system using cutting-edge technology.

Because every second counts in an emergency, we are building systems and flows with 4 9s of reliability to ensure that our technology is always there when people need it the most. We are looking for distributed systems experts who can help us perfect the architecture behind our key design principles: scalability, reliability, programmability, and resiliency. Our system features a powerful dispatch engine that connects emergency service providers with patients in real-time

.

Key Responsibilities

●     Build Data ETL Pipelines

●     Develop data set processes

●     Strong analytic skills related to working with unstructured datasets

●     Evaluate business needs and objectives

●     Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery

●     Interpret trends and patterns

●     Work with data and analytics experts to strive for greater functionality in our data system

●     Build algorithms and prototypes

●     Explore ways to enhance data quality and reliability

●     Work with the Executive, Product, Data, and D   esign teams, to assist with data-related technical issues and support their data infrastructure needs.

●     Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

Key Requirements

●     Proven experience as a data engineer, software developer, or similar of at least 3 years.

●     Bachelor's / Master’s degree in data engineering, big data analytics, computer engineering, or related field.

●     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 Azure, AWS cloud services: EC2, EMR, RDS, Redshift

●     Experience with BigQuery

●     Experience with stream-processing systems: Storm, Spark-Streaming, etc.

●     Experience with languages: Python, Java, C++, Scala, SQL, R, etc.

●     Good hands-on with Hive, Presto.

Work with the manager through the entire analytical and machine learning model life cycle:

⮚ Define the problem statement

⮚ Build and clean datasets

⮚ Exploratory data analysis

⮚ Feature engineering

⮚ Apply ML algorithms and assess the performance

⮚ Codify for deployment

⮚ Test and troubleshoot the code

⮚ Communicate analysis to stakeholders

Technical Skills

⮚ Proven experience in usage of Python and SQL

⮚ Excellent in programming and statistics

⮚ Working knowledge of tools and utilities - AWS, DevOps with Git, Selenium, Postman, Airflow, PySpark

Deep-Rooted.Co is on a mission to get Fresh, Clean, Community (Local farmer) produce from harvest to reach your home with a promise of quality first! Our values are rooted in trust, convenience, and dependability, with a bunch of learning & fun thrown in.

Founded out of Bangalore by Arvind, Avinash, Guru and Santosh, with the support of our Investors Accel, Omnivore & Mayfield, we raised $7.5 million in Seed, Series A and Debt funding till date from investors include ACCEL, Omnivore, Mayfield among others. Our brand Deep-Rooted.Co which was launched in August 2020 was the first of its kind as India’s Fruits & Vegetables (F&V) which is present in Bangalore & Hyderabad and on a journey of expansion to newer cities which will be managed seamlessly through Tech platform that has been designed and built to transform the Agri-Tech sector.

Deep-Rooted.Co is committed to building a diverse and inclusive workplace and is an equal-opportunity employer.  

How is this possible? It’s because we work with smart people. We are looking for Engineers in Bangalore to work with thehttps://www.linkedin.com/in/gururajsrao/"> Product Leader (Founder) andhttps://www.linkedin.com/in/sriki77/"> CTO and this is a meaningful project for us and we are sure you will love the project as it touches everyday life and is fun. This will be a virtual consultation.

We want to start the conversation about the project we have for you, but before that, we want to connect with you to know what’s on your mind. Do drop a note sharing your mobile number and letting us know when we can catch up.

Purpose of the role:

* As a startup we have data distributed all across various sources like Excel, Google Sheets, Databases etc. We need swift decision making based a on a lot of data that exists as we grow. You help us bring together all this data and put it in a data model that can be used in business decision making.
* Handle nuances of Excel and Google Sheets API.
* Pull data in and manage it growth, freshness and correctness.
* Transform data in a format that aids easy decision-making for Product, Marketing and Business Heads.
* Understand the business problem, solve the same using the technology and take it to production - no hand offs - full path to production is yours.

Technical expertise:

* Good Knowledge And Experience with Programming languages - Java, SQL,Python.
* Good Knowledge of Data Warehousing, Data Architecture.
* Experience with Data Transformations and ETL; 
* Experience with API tools and more closed systems like Excel, Google Sheets etc.
* Experience AWS Cloud Platform and Lambda
* Experience with distributed data processing tools.
* Experiences with container-based deployments on cloud.

 Skills:

Java, SQL, Python, Data Build Tool, Lambda, HTTP, Rest API, Extract Transform Load.

• Editorialist YX is looking for a Technical Architect - Search. As part of this role, you will work with a team that builds a unified search platform to power various searches for our .com website,IOS app, and internal support tools. This search impacts thousands of customers in a day and will also become pivotal to our tech efforts as we continue to grow 30x YoY.

• You will own the technical direction for the team, and you will be leading key search projects from ideation all the way to deployment. You will be working closely with both technical and business leaders to fulfill your mission.
• Salary is no bar for the relevant candidate. 

• 6+ years of experience working in java and web services.
• 6+ years of experience working in the Search domain.
• Proven skills in designing scalable, highly available distributed systems which can handle high data volumes.
• Strong understanding of software engineering principles and fundamentals including data structures and algorithms.
• Solid understanding of concurrency and multi-threading, multiple design patterns, and debugging and analytical methodologies.
• Hands-on experience on Solr Cloud or ElasticSearch.
• Deep understanding of information retrieval concepts.
• Deep understanding of Linguistic processing like tokenizers, spellers, and stemmers.
• Hands-on experience on big data tech stacks, like Hadoop, Hive, Cassandra, and Spark is a plus.
• Self-directed, self-motivated, and detail-oriented with the ability to come up with good design proposals and thorough analysis of production issues.
• Excellent written and oral communication skills on both technical and non-technical topics.

• Designing and building a search engine using elastic search with engineers in the team for overall success for Search and other ML-based systems.
• Collaborate with peers from other Engineering groups to tackle complex and meaningful problems with efficient and scalable delivery of Search solutions.
• You are expected to be self-motivated, dedicated, and a solution-oriented individual. The main responsibilities for this position include:Leading effort to build large-scale, distributed, and highly available systems and pipelines.
• Leading effort to build large scale and highly available information retrieval systems
• Design and develop solutions using Java tech stack.
• Design and implement as per secure guidelines
• Work with QA to identify issues and fix them.

• B.Tech. in Computer Science or equivalent experience
• 6+ Yrs of experience in Java, Web services & Search Domain
• Experience working in Product based company

• Retiral Benefits
• Medical Insurance
• Remote Working Opportunity for the time being
• MacBook
• Stock Options
• Gym Membership

Square Panda is a startup headquartered in Sunnyvale, CA with additional offices located in India 

and China. We are in a research based Ed-Tech space, focusing on children's early literacy. We 

have 3000+ schools under our belt and are proud to cater the needs of English Language 

development of 70,000+ kids worldwide. Our multisensory neuroscience research-based phonics 

learning system comes equipped with educational games to teach children many essential skills. 

With a curriculum that has been specially adapted for Indian schools and children, we strive to 

empower beginner learners through phonics awareness.

  Responsibilities 

o Lead the identification and execution of opportunities where Analytics can make a difference across the company with focus on multiple markets we operate in - US, India and China.

 o Actively champion adoption of the analytics solutions across various markets and functions

 o Translate business problems into Insights projects and lead in quantifying the various types of risk and rewards that allow these projects to be prioritized.

 o Excellent project management and executive communication skills.

 o Understanding of the techniques and technologies of data science, along with a detailed understanding of the challenges associated with each (e.g. overfitting, model refresh, challenge of acquiring training data, cost of compute, etc.)

 o Proactively and continuously assess the marketplace and its dynamics, customers, and competitors. 

o Provide an unbiased point of view on the performance of markets/brands, supported by facts and evidence

 o Develop research strategies to ensure internal understanding of customer and competitor insights 

o Develop and implement market research & analytical plans, in collaboration with cross‐functional teams.

 o Seeks out alternative/creative ways of meeting an information need, considering new techniques to address business challenges.

 o Monitor program risks and ensure appropriate actions are taken, including escalating issues timely to the management 

o Maintain understanding of business operations and how users interact with the relevant systems and use that understanding to provide decision support analysis.

 o Tap the working knowledge of AI and analytics to convey these business goals to the data professionals who will create the models and solutions. 

o Enthusiasm, commitment, and business savvy to navigate the technical, political, and organizational roadblocks that can emerge.

 Desired Profile 

o 6-8 years of experience in executing multiple analytics projects end to end

 o Entrepreneurial mind-set o Should have played hands on data sciences role in the past with full knowledge of which analytics technique to apply 

o Background of core consulting / start up handling end to end projects o Excellent communication and project management skills o Ability to lead both business and analytics team to generate ROI and success for business o Expertise across the spectrum of analytics - Dashboards, Visualizations, Insights, Data Science driven AI, ML Projects  

Position Name: Software Developer

Required Experience: 3+ Years

Number of positions: 4

Qualifications: Master’s or Bachelor s degree in Engineering, Computer Science, or equivalent (BE/BTech or MS in Computer Science).

Key Skills: Python, Django, Ngnix, Linux, Sanic, Pandas, Numpy, Snowflake, SciPy, Data Visualization, RedShift, BigData, Charting

Compensation - As per industry standards.

Joining - Immediate joining is preferrable.

Required Skills:

• Strong Experience in Python and web frameworks like Django, Tornado and/or Flask
• Experience in data analytics using standard python libraries using Pandas, NumPy, MatPlotLib
• Conversant in implementing charts using charting libraries like Highcharts, d3.js, c3.js, dc.js and data Visualization tools like Plotly, GGPlot
• Handling and using large databases and Datawarehouse technologies like MongoDB, MySQL, BigData, Snowflake, Redshift.
• Experience in building APIs, Multi-threading for tasks on Linux platform
• Exposure to finance and capital markets will be added advantage. 
• Strong understanding of software design principles, algorithms, data structures, design patterns, and multithreading concepts.
• Worked on building highly-available distributed systems on cloud infrastructure or have had exposure to architectural pattern of a large, high-scale web application.
• Strong understanding of software design principles, algorithms, data structures, design patterns, and multithreading concepts.
• Basic understanding of front-end technologies, such as JavaScript, HTML5, and CSS3

Company Description:

Reval Analytical Services is a fully-owned subsidiary of Virtua Research Inc. US. It is a financial services technology company focused on consensus analytics, peer analytics and Web-enabled information delivery. The Company’s unique combination of investment research experience, modeling expertise, and software development capabilities enables it to provide industry-leading financial research tools and services for investors, analysts, and corporate management.

Website: http://www.virtuaresearch.com" target="_blank">www.virtuaresearch.com

1. Proven experience with deploying and tuning Open Source components into enterprise ready production tooling Experience with datacentre (Metal as a Service – MAAS) and cloud deployment technologies (AWS or GCP Architect certificates required)
2. Deep understanding of Linux from kernel mechanisms through user space management
3. Experience on CI/CD (Continuous Integrations and Deployment) system solutions (Jenkins).
4. Using Monitoring tools (local and on public cloud platforms) Nagios, Prometheus, Sensu, ELK, Cloud Watch, Splunk, New Relic etc. to trigger instant alerts, reports and dashboards.  Work closely with the development and infrastructure teams to analyze and design solutions with four nines (99.99%) up-time, globally distributed, clustered, production and non-production virtualized infrastructure. 
5. Wide understanding of IP networking as well as data centre infrastructure

1. Expert with software development tools and sourcecode management, understanding, managing issues, code changes and grouping them into deployment releases in a stable and measurable way to maximize production Must be expert at developing and using ansible roles and configuring deployment templates with jinja2.
2. Solid understanding of data collection tools like Flume, Filebeat, Metricbeat, JMX Exporter agents.
3. Extensive experience operating and tuning the kafka streaming data platform, specifically as a message queue for big data processing
4. Strong understanding and must have experience:
5. Apache spark framework, specifically spark core and spark streaming, 
6. Orchestration platforms, mesos and kubernetes, 
7. Data storage platforms, elasticstack, carbon, clickhouse, cassandra, ceph, hdfs
8. Core presentation technologies kibana, and grafana.
9. Excellent scripting and programming skills (bash, python, java, go, rust). Must have previous experience with “rust” in order to support, improve in house developed products

Red Hat Certified Architect certificate or equivalent required CCNA certificate required 3-5 years of experience running open source big data platforms