yandex
alphasense
Страна
Индия
+500% приглашений

Откликайтесь
на вакансии с ИИ

Ускорим процесс поиска работы
SeniorВ офисеПолная занятость

Staff Analytics Engineer

Оценка ИИ

AlphaSense — это быстрорастущий 'единорог' в сфере AI и рыночной аналитики с сильной инженерной культурой. Позиция предлагает работу с современным стеком технологий (GCP, AWS, Kubernetes) и возможность влиять на продукт, которым пользуются компании из S&P 500.


Вакансия из Quick Offer Global, списка международных компаний
Пожаловаться

Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль уровня Staff требует не только глубоких технических знаний Python, GCP и AWS, но и опыта проектирования сложных архитектур данных (Data Lake) и работы с событийно-ориентированными системами. Высокая планка ответственности за масштабируемость self-serve аналитики повышает сложность позиции.

Анализ зарплаты

Медиана55 000 $
Рынок40 000 $ – 75 000 $
Оценка ИИ

Зарплата для данной позиции не указана, однако для роли Staff Analytics Engineer в Пуне (Индия) рыночные показатели значительно выше средних по региону из-за высокого спроса на экспертов по облачным данным. Предложение AlphaSense обычно включает конкурентный оклад и расширенный пакет льгот.

Сопроводительное письмо

I am writing to express my strong interest in the Staff Analytics Engineer position at AlphaSense. With over five years of experience in analytics engineering and a deep proficiency in Python and SQL, I have a proven track record of building robust data pipelines and transforming complex datasets into actionable business insights. My background in developing R&D Analytical Data Lakes and working within the GCP and AWS ecosystems aligns perfectly with the technical requirements of your Product Analytics team.

In my previous roles, I have successfully implemented event-driven systems and managed CI/CD processes within Kubernetes environments, ensuring scalable and maintainable data architectures. I am particularly drawn to AlphaSense because of your innovative use of AI to empower decision-making for the world’s leading companies. I am eager to bring my 'roll up your sleeves' attitude and technical expertise to help accelerate the growth and content expansion of your platform following the Tegus acquisition.

+250% к просмотрам

Составьте идеальное письмо к вакансии с ИИ-агентом

Составьте идеальное письмо к вакансии с ИИ-агентом

Откликнитесь в alphasense уже сейчас

Присоединяйтесь к AlphaSense, чтобы создавать передовые аналитические платформы на базе ИИ и определять будущее рыночной аналитики!

Описание вакансии

About AlphaSense:

The world’s most sophisticated companies rely on AlphaSense to remove uncertainty from decision-making. With market intelligence and search built on proven AI, AlphaSense delivers insights that matter from content you can trust. Our universe of public and private content includes equity research, company filings, event transcripts, expert calls, news, trade journals, and clients’ own research content.

The acquisition of Tegus by AlphaSense in 2024 advances our shared mission to empower professionals to make smarter decisions through AI-driven market intelligence. Together, AlphaSense and Tegus will accelerate growth, innovation, and content expansion, with complementary product and content capabilities that enable users to unearth even more comprehensive insights from thousands of content sets. Our platform is trusted by over 6,000 enterprise customers, including a majority of the S&P 500. Founded in 2011, AlphaSense is headquartered in New York City with more than 2,000 employees across the globe and offices in the U.S., U.K., Finland, India, Singapore, Canada, and Ireland. Come join us!

About the Team:

The Global Product Analytics team comprises professionals with diverse expertise, including analytics, engineering, and data, striving for innovation, execution & delivery every day. The mission of the Product Analytics team is to empower decision-makers and the broader data communities within the R&D vertical and beyond through trusted data assets and scalable self-serve analytics. We are looking for professionals who are committed to learning and growing themselves while creatively delivering solutions to join our team.

The Role:

We are seeking a highly skilled and experienced Staff Analytics Engineer to join our Product Analytics team. This role requires

  • proficiency in Python to set up Engineering Platforms and configure robust data pipelines,
  • experience with the Google Cloud Platform (GCP) to run ETLs,
  • and hands-on experience in designing Tableau Workbooks.

The successful candidate will play a critical role in ingesting and transforming raw data into actionable insights to drive business decisions. If you're familiar with Scrum Agile methodologies and energetic, with a 'roll up your sleeves and do whatever it takes' attitude, we’d like to meet with you.

Requirements:

  • Bachelor's (or Master’s) degree  in Computer Science, Information Systems, or a closely related discipline
  • 5+ years of experience as an Analytics Engineer.
  • Overall solid programming skills, able to write modular, maintainable code in Python
  • Experience in creating data pipelines and transforming data using SQL in GCP
  • Experience in creating Tableau workbooks
  • Experience in working with AWS Services like S3, SNS, SQS, and AWS Lambda Function.
  • Experience in Kubernetes and CI/CD Process.
  • Experience in working with NoSQL DBs (e.g. MongoDB, DynamoDB)
  • Experience in working with event-driven systems.
  • Familiarity with Agile methodologies and product development processes
  • Excellent communication and collaboration skills

Responsibilities :

  • Develop R&D Analytical Data Lake for real-time data ingestion, storage, processing and analytics on BI tools
  • Develop and maintain data pipelines required for the extraction, transformation, cleaning, pre-processing, aggregation, and loading of data from a wide variety of data sources using Python and SQL
  • Develop Tableau dashboards by establishing connections with GCP and other tools

What we offer:

  • Playing a part in the story of a fast-growing company
  • Competitive compensation package
  • Exciting career opportunities and training
  • Very highly skilled colleagues
  • Lunch and recreational benefits
  • Occupational health care

AlphaSense is an equal-opportunity employer. We are committed to a work environment that supports, inspires, and respects all individuals. All employees share in the responsibility for fulfilling AlphaSense’s commitment to equal employment opportunity. AlphaSense does not discriminate against any employee or applicant on the basis of race, color, sex (including pregnancy), national origin, age, religion, marital status, sexual orientation, gender identity, gender expression, military or veteran status, disability, or any other non-merit factor. This policy applies to every aspect of employment at AlphaSense, including recruitment, hiring, training, advancement, and termination.

In addition, it is the policy of AlphaSense to provide reasonable accommodation to qualified employees who have protected disabilities to the extent required by applicable laws, regulations, and ordinances where a particular employee works.

Recruiting Scams and Fraud

We at AlphaSense have been made aware of fraudulent job postings and individuals impersonating AlphaSense recruiters. These scams may involve fake job offers, requests for sensitive personal information, or demands for payment. Please note:

  • AlphaSense never asks candidates to pay for job applications, equipment, or training.
  • All official communications will come from an @alpha-sense.com email address.
  • If you’re unsure about a job posting or recruiter, verify it on our Careers page.

If you believe you’ve been targeted by a scam or have any doubts regarding the authenticity of any job listing purportedly from or on behalf of AlphaSense please contact us. Your security and trust matter to us.

+400% к собеседованиям

Создайте идеальное резюме с помощью ИИ-агента

Создайте идеальное резюме с помощью ИИ-агента

Навыки

  • Python
  • SQL
  • Google Cloud Platform
  • Tableau
  • Amazon Web Services
  • AWS S3
  • AWS Lambda
  • AWS SNS
  • AWS SQS
  • Kubernetes
  • CI/CD
  • MongoDB
  • DynamoDB
  • NoSQL
  • Agile
  • Scrum
  • ETL

Возможные вопросы на собеседовании

Проверка опыта проектирования архитектуры данных для аналитики в реальном времени.

Опишите ваш опыт проектирования R&D Analytical Data Lake. Какие инструменты вы использовали для обеспечения минимальной задержки при ингестии данных?

Оценка навыков работы с облачной инфраструктурой и интеграции различных сервисов.

Как бы вы организовали взаимодействие между AWS (S3, Lambda) и GCP для построения сквозного ETL-процесса?

Проверка понимания специфики работы с NoSQL базами данных в аналитических целях.

В каких случаях вы предпочтете MongoDB или DynamoDB вместо традиционных реляционных БД для аналитических задач?

Оценка опыта в DevOps практиках применительно к инженерии данных.

Расскажите о вашем опыте настройки CI/CD пайплайнов для Kubernetes. Как вы обеспечиваете качество кода и данных при деплое?

Проверка лидерских качеств и умения работать в Agile-команде.

Как вы подходите к приоритизации задач в условиях быстрорастущей компании и необходимости поддержки множества стейкхолдеров?

Похожие вакансии

mongodb
Не указана

Senior Analytics Engineer I

SeniorГибридИндия
SQL · Python · dbt · Airflow · Git · Hive · Trino · Presto · SparkSQL · Google BigQuery · AWS S3 · Google Cloud Storage · CI/CD · Jira
+14 навыков
aiviq
Не указана

India - Hyderabad - Aiviq - Senior Data Platform Support Analyst

SeniorВ офисеИндия
Azure SQL · Azure Data Factory · Azure Synapse Analytics · Snowflake · Apache Spark · Delta Lake · PowerShell · Python · Terraform · ETL · ELT · Azure Monitor · ITIL
+13 навыков
okx
Не указана

Senior Data Engineer, Compliance Data Infrastructure

SeniorВ офисеСингапур
Python · SQL · Spark · Hadoop · Databricks · Alibaba MaxCompute · Google BigQuery · AWS Redshift · Data Modeling · ETL · LLM · Blockchain · AML · KYC
+14 навыков
jfrog
Не указана

Senior Analytics Engineer – Cloud & FinOps

SeniorГибридИндия
SQL · Python · Data Modeling · ETL · ELT · Redshift · BigQuery · Snowflake · Tableau · Looker · Power BI · QuickSight · AWS · Azure · GCP · Kubernetes · FinOps · Cursor · Claude · GitHub Copilot
+20 навыков
roku
190 000 $ – 225 000 $

Senior Tableau Engineer

SeniorГибридСША
Tableau · SQL · Data Modeling · AWS · Google Cloud Platform · Snowflake · BigQuery · Trino · Apache Spark · Hadoop · Star Schema · Performance Tuning
+12 навыков
roku
190 000 $ – 225 000 $

Senior Tableau Engineer

SeniorГибридСША
Tableau · SQL · Data Modeling · AWS · Google Cloud Platform · Snowflake · BigQuery · Trino · Apache Spark · Hadoop · Star Schema · Performance Tuning
+12 навыков
более 1000 офферов получено
4.9

1000+ офферов получено

Устали искать работу? Мы найдём её за вас

Quick Offer улучшит ваше резюме, подберёт лучшие вакансии и откликнется за вас. Результат — в 3 раза больше приглашений на собеседования и никакой рутины!

alphasense
Страна
Индия