Data Engineer

Pune - India

Monthly Salary: Not Disclosed

Posted on: 4 hours ago

Vacancies: 1 Vacancy

Job Summary

Key Responsibilities

Building and maintaining dashboards tailored to the target audience to track key KPIs and in-depth reports for a heavy ML-driven product;
Digging into data to uncover new use cases and identify potential areas for improvement;
Leading the teams experimentation practice;
Identifying and assisting with resolving data quality issues for accurate tracking and reporting;
Collaborating closely with product teams and stakeholders to enable data-driven processes;
Developing new KPIs as needed;
Promoting and educating product teams and (potential) stakeholders about data usage.

Qualifications :

Education

Bachelors or Masters degree in Computer Science Software Engineering or equivalent practical experience.

Work Experience & Skills

5-8 years of experience in relevant domain
Strong analytical and critical thinking skills;
Strong communication skills with proven experience translating complex data insights into clear actionable recommendations for both technical and non-technical stakeholders;
Advanced SQL and query optimization knowledge preferably in BigQuery;
Proven experience with visualizing data in an insightful way for the right audience with Looker Studio Microstrategy Tableau Looker or other dashboarding tools;
Proven experience with A/B testing (preferably server-side testing) including experiment design technical setup and statistical evaluation of results (e.g. in Growthbook Bayesian statistical engine);
Strong statistical knowledge (e.g. data distributions parametric and non-parametric statistical tests type I and II errors and summary statistics regression and tree-based models; time series analysis and Bayesian statistics would be a plus);
Proficient in Python for conducting ad-hoc and exploratory data analyses primarily using Jupyter notebooks;
Solid understanding of version control with Git;
Very good fluency in English (written and verbal).
Strong problem-solving mindset with a process-oriented approach.

Nice-to-Have

Experience with cross-functional collaboration throughout the broader organization;
Self-aware positive and strongly committed to customer orientation;
Good understanding of recommender systems is a plus;
Experience with Google Cloud Platform analytical technologies is a plus.

Remote Work :

Employment Type :

Full-time

Key ResponsibilitiesBuilding and maintaining dashboards tailored to the target audience to track key KPIs and in-depth reports for a heavy ML-driven product; Digging into data to uncover new use cases and identify potential areas for improvement; Leading the teams experimentation practice;Identifyi...

Key Responsibilities

Building and maintaining dashboards tailored to the target audience to track key KPIs and in-depth reports for a heavy ML-driven product;
Digging into data to uncover new use cases and identify potential areas for improvement;
Leading the teams experimentation practice;
Identifying and assisting with resolving data quality issues for accurate tracking and reporting;
Collaborating closely with product teams and stakeholders to enable data-driven processes;
Developing new KPIs as needed;
Promoting and educating product teams and (potential) stakeholders about data usage.

Qualifications :

Education

Bachelors or Masters degree in Computer Science Software Engineering or equivalent practical experience.

Work Experience & Skills

5-8 years of experience in relevant domain
Strong analytical and critical thinking skills;
Strong communication skills with proven experience translating complex data insights into clear actionable recommendations for both technical and non-technical stakeholders;
Advanced SQL and query optimization knowledge preferably in BigQuery;
Proven experience with visualizing data in an insightful way for the right audience with Looker Studio Microstrategy Tableau Looker or other dashboarding tools;
Proven experience with A/B testing (preferably server-side testing) including experiment design technical setup and statistical evaluation of results (e.g. in Growthbook Bayesian statistical engine);
Strong statistical knowledge (e.g. data distributions parametric and non-parametric statistical tests type I and II errors and summary statistics regression and tree-based models; time series analysis and Bayesian statistics would be a plus);
Proficient in Python for conducting ad-hoc and exploratory data analyses primarily using Jupyter notebooks;
Solid understanding of version control with Git;
Very good fluency in English (written and verbal).
Strong problem-solving mindset with a process-oriented approach.

Nice-to-Have

Experience with cross-functional collaboration throughout the broader organization;
Self-aware positive and strongly committed to customer orientation;
Good understanding of recommender systems is a plus;
Experience with Google Cloud Platform analytical technologies is a plus.

Remote Work :

Employment Type :

Full-time

Key Skills

Apache Hive
S3
Hadoop
Redshift
Spark
AWS
Apache Pig
NoSQL
Big Data
Data Warehouse
Kafka
Scala

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About Company

METROMAKRO

METRO is a leading international wholesale company with food and non-food assortments that specialises in serving the needs of hotels, restaurants and caterers (HoReCa) as well as independent traders. Around the world, METRO has 15 million customers who can choose whether to shop in o ... View more

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