Staff Operations Engineer

at DeepIntent

Staff Operations Engineer

DeepIntent

Company

Home

Staff Operations Engineer

at DeepIntent

Posted by Amruta Mundale

8 - 10 yrs

Best in industry

Pune

Skills

Technical support

SQL

Apache

Google Cloud Platform (GCP)

Amazon Web Services (AWS)

Data architecture

Python

What You’ll Do:

We are looking for a Staff Operations Engineer based in Pune, India who can master both DeepIntent’s data architectures and pharma research and analytics methodologies to make significant contributions to how health media is analyzed by our clients. This role requires an Engineer who not only understands DBA functions but also how they impact research objectives and can work with researchers and data scientists to achieve impactful results.

This role will be in the Engineering Operations team and will require integration and partnership with the Engineering Organization. The ideal candidate is a self-starter who is inquisitive who is not afraid to take on and learn from challenges and will constantly seek to improve the facets of the business they manage. The ideal candidate will also need to demonstrate the ability to collaborate and partner with others.

Serve as the Engineering interface between Analytics and Engineering teams.
Develop and standardize all interface points for analysts to retrieve and analyze data with a focus on research methodologies and data-based decision-making.
Optimize queries and data access efficiencies, serve as an expert in how to most efficiently attain desired data points.
Build “mastered” versions of the data for Analytics-specific querying use cases.
Establish a formal data practice for the Analytics practice in conjunction with the rest of DeepIntent.
Interpret analytics methodology requirements and apply them to data architecture to create standardized queries and operations for use by analytics teams.
Implement DataOps practices.
Master existing and new Data Pipelines and develop appropriate queries to meet analytics-specific objectives.
Collaborate with various business stakeholders, software engineers, machine learning engineers, and analysts.
Operate between Engineers and Analysts to unify both practices for analytics insight creation.

Who You Are:

8+ years of experience in Tech Support (Specialised in Monitoring and maintaining Data pipeline).
Adept in market research methodologies and using data to deliver representative insights.
Inquisitive, curious, understands how to query complicated data sets, move and combine data between databases.
Deep SQL experience is a must.
Exceptional communication skills with the ability to collaborate and translate between technical and non-technical needs.
English Language Fluency and proven success working with teams in the U.S.
Experience in designing, developing and operating configurable Data pipelines serving high-volume and velocity data.
Experience working with public clouds like GCP/AWS.
Good understanding of software engineering, DataOps, and data architecture, Agile and DevOps methodologies.
Proficient with SQL, Python or JVM-based language, Bash.
Experience with any of Apache open-source projects such as Spark, Druid, Beam, Airflow etc. and big data databases like BigQuery, Clickhouse, etc.
Ability to think big, take bets and innovate, dive deep, hire and develop the best talent, learn and be curious.
Experience in debugging UI and Backend issues will be add on.

What You’ll Do:

Serve as the Engineering interface between Analytics and Engineering teams.
Develop and standardize all interface points for analysts to retrieve and analyze data with a focus on research methodologies and data-based decision-making.
Optimize queries and data access efficiencies, serve as an expert in how to most efficiently attain desired data points.
Build “mastered” versions of the data for Analytics-specific querying use cases.
Establish a formal data practice for the Analytics practice in conjunction with the rest of DeepIntent.
Interpret analytics methodology requirements and apply them to data architecture to create standardized queries and operations for use by analytics teams.
Implement DataOps practices.
Master existing and new Data Pipelines and develop appropriate queries to meet analytics-specific objectives.
Collaborate with various business stakeholders, software engineers, machine learning engineers, and analysts.
Operate between Engineers and Analysts to unify both practices for analytics insight creation.

Who You Are:

8+ years of experience in Tech Support (Specialised in Monitoring and maintaining Data pipeline).
Adept in market research methodologies and using data to deliver representative insights.
Inquisitive, curious, understands how to query complicated data sets, move and combine data between databases.
Deep SQL experience is a must.
Exceptional communication skills with the ability to collaborate and translate between technical and non-technical needs.
English Language Fluency and proven success working with teams in the U.S.
Experience in designing, developing and operating configurable Data pipelines serving high-volume and velocity data.
Experience working with public clouds like GCP/AWS.
Good understanding of software engineering, DataOps, and data architecture, Agile and DevOps methodologies.
Proficient with SQL, Python or JVM-based language, Bash.
Experience with any of Apache open-source projects such as Spark, Druid, Beam, Airflow etc. and big data databases like BigQuery, Clickhouse, etc.
Ability to think big, take bets and innovate, dive deep, hire and develop the best talent, learn and be curious.
Experience in debugging UI and Backend issues will be add on.

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About DeepIntent

Founded :

2016

Type :

Product

Size :

100-500

Stage :

Profitable

About

DeepIntent is the leading independent healthcare marketing technology company built purposefully to influence patient health and business outcomes. The DeepIntent Healthcare Marketing Platform is the first and only platform that uniquely combines real-world health data, premium media partnerships, and custom integrations to reach patients and providers across any device. This enables healthcare marketers to plan, activate, optimize and measure campaigns that drive measurable patient and business outcomes, all within a single platform. DeepIntent is leading the healthcare advertising industry with data-driven solutions built for the future. From day one, our mission has been to improve patient outcomes through the artful use of advertising, data science, and real-world clinical data.

Java

Aerospike

React.js

Kafka

Druid

Cloud

Candid answers by the company

What does the company do?

What is the location preference of jobs?

The DeepIntent Healthcare Marketing Platform is the first and only platform that uniquely combines real-world health data, premium media partnerships, and custom integrations to reach patients and providers across any device. This enables healthcare marketers to plan, activate, optimize and measure campaigns that drive measurable patient and business outcomes, all within a single platform.

Photos

Connect with the team

Sourabh Gandhe

Arushi Maskara

Nuupur Adathiya

Sachin Nikam

Vikram Patil

Rohan Hardas

Chris Ed Rego

Tanvi Kumthekar

Parul Gaba

Chinmay Kulkarni

Bhavesh Zambare

Saylee Arolkar

Christopher Paquette

Amrita Bhalla

Chhavi Rawat

Indrajeet Deshmukh

Salil Godbole

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Be the product champion. Document product functionality and train the organization on new features. Define the value proposition of your products and guide marketing / sales in selling your products.
Facilitate in data-driven decision making and create the telemetry and metrics required to evaluate the success of the products you launch.
Define and drive internal and external pilots prior to releases to gather early feedback and ensure adoption of new features and functionality.

What You'll Need

4+ years of Product Management experience in an enterprise B2B/B2B2C SaaS company building products in one or more of the following domains: marketing cloud products, such as Campaign Management, Segmentation, Marketing Automation
Experience working on AI/ML projects and applications, Data & Analytics
Experience working in Agile development environment
Strong analytical and problem-solving skills
Strong communication skills
Self-starter, detail-oriented
Technical background required. MBA is a strong plus.

Bonus Points if You Have

Familiarity with multi-cloud environments
Familiarity with Enterprise Data Platforms, CDP and Enterprise Integrations

Title

ML Product Manager

Reporting to

Sr. Director of Product Management

About the role

We are looking for a Product Manager for our AI/ML Product team that is responsible for delivering ML powered products and applications such as Campaign recommendations and personalization.

You will help transform ideas into AI products for our customers and drive adoption working with cross functional teams.

What You'll Do

Own product feature from market research, execution, go-to-market and impact evaluation.
Review customer feedback, analyze impact and prioritize it, and convert into clearly defined product requirements to create a feature backlog
Write product specs, define product UI with the UX team, review test plans.
Collaborate with Engineering in product development, validating builds and driving releases to meet target dates.
Be the product champion. Document product functionality and train the organization on new features. Define the value proposition of your products and guide marketing / sales in selling your products.
Facilitate in data-driven decision making and create the telemetry and metrics required to evaluate the success of the products you launch.
Define and drive internal and external pilots prior to releases to gather early feedback and ensure adoption of new features and functionality.

What You'll Need

4+ years of Product Management experience in an enterprise B2B/B2B2C SaaS company building products in one or more of the following domains: marketing cloud products, such as Campaign Management, Segmentation, Marketing Automation
Experience working on AI/ML projects and applications, Data & Analytics
Experience working in Agile development environment
Strong analytical and problem-solving skills
Strong communication skills
Self-starter, detail-oriented
Technical background required. MBA is a strong plus.

Bonus Points if You Have

Familiarity with multi-cloud environments
Familiarity with Enterprise Data Platforms, CDP and Enterprise Integrations

Engineering Manager

at Uber

1 video

10 recruiters

Posted by Swati Singh

Bengaluru (Bangalore)

9 - 15 yrs

₹50L - ₹80L / yr

Big Data

Leadership

Engineering Management

Architecture

Minimum 5+ years of experience as a manager and overall 10+ years of industry experience in a variety of contexts, during which you've built scalable, robust, and fault-tolerant systems. You have a solid knowledge of the whole web stack: front-end, back-end, databases, cache layer, HTTP protocol, TCP/IP, Linux, CPU architecture, etc. You are comfortable jamming on complex architecture and design principles with senior engineers. Bias for action. You believe that speed and quality aren't mutually exclusive. You've shown good judgement about shipping as fast as possible while still making sure that products are built in a sustainable, responsible way. Mentorship/ Guidance. You know that the most important part of your job is setting the team up for success. Through mentoring, teaching, and reviewing, you help other engineers make sound architectural decisions, improve their code quality, and get out of their comfort zone. Commitment. You care tremendously about keeping the Uber experience consistent for users and strive to make any issues invisible to riders. You hold yourself personally accountable, jumping in and taking ownership of problems that might not even be in your team's scope. Hiring know-how. You're a thoughtful interviewer who constantly raises the bar for excellence. You believe that what seems amazing one day becomes the norm the next day, and that each new hire should significantly improve the team. Design and business vision. You help your team understand requirements beyond the written word and you thrive in an environment where you can uncover subtle details.. Even in the absence of a PM or a designer, you show great attention to the design and product aspect of anything your team ships.

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