Senior Analytics Engineer

at G2

Bengaluru, senior, 6+ years

posted 10 Sept 2026

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Airflow
Google Analytics
AWS Data Pipeline
AWS Glue
Prefect
Tableau
AWS RDS
Snowflake
Snowplow
Python
AWS Lambda
Java
Airbyte
Hadoop
Qlikview
AWS EMR
Test Driven Development
Looker
SQL
Apache Spark
PowerBI
dbt
CI/CD
AWS DynamoDB
AWS ECS
Apache Kafka

About the role

G2 is looking for a Senior Analytics Engineer who will be operating at the intersection of business, analytics and engineering. The Senior Analytics Engineer plays a pivotal role in converting raw information into strategic insights and product features.

In this role, you will partner with cross-functional stakeholders and technical departments to translate complex analytical requirements into sustainable, AI-ready data architectures and modeling solutions. By taking full ownership of sophisticated transformation designs and data modeling, you will fundamentally shape G2’s data environment, ensuring our assets remain scalable, reliable, and perfectly tuned for diverse organizational needs. This role is designed for a professional who excels through proactive initiative, technical mastery, and a commitment to continuous discovery.

What you would do

- Data Modeling & Pipeline Development

- Design, develop, and maintain robust DBT data pipelines and data models to support buyer experience, experimentation and ecommerce tracking

- Build resilient and auto-recoverable data pipelines for data transformations subject to strict SLAs, performance expectations and data quality standards

- Optimize data pipelines and debug analytical use cases and data quality issues.

- Develop data models following best practices and industry standards

- Collaboration & Stakeholder Engagement

- Functionally understand ecommerce business processes especially in the areas of customer transactions, ecommerce website experimentation and AB testing

- Collaborate with stakeholders to translate business OKRs into technical solutions

- Data Governance & Security

- Document and maintain the data catalog to enable data democratization and governance

- Define semantic views with clear business context and metadata to enable AI-ready, self-service data consumption

- Ensure data security, compliance, and cost efficiency across environments.

- Leadership & Mentoring

- Mentor and guide other data platform associates with solutioning, code reviews and best practices adoption.

Read from jobs.ashbyhq.com, last seen 3d ago.

What they are looking for

We realize applying for jobs can feel daunting at times. Even if you don’t check all the boxes in the job description, we encourage you to apply anyway.

- 6+ years of experience in implementing enterprise data solutions

- 3+ years of experience using ETL/data pipeline and orchestration tools (dbt, Airflow, Airbyte, Glue, Prefect etc)

- 2+ years of hands-on experience in data modeling, optimization and database architecture.

- Extensive experience in writing, debugging, and tuning SQL queries

- Strong programming experience in Python or Java

- Good understanding of the AWS data services (DynamoDB, RDS, Data Pipeline, EMR, Lambda, Glue, ECS, etc.) and cloud data warehouses like Snowflake

- Must have good knowledge of performance tuning, optimization and debugging of data pipelines

- Experience with enterprise data and business intelligence platforms serving large-scale enterprise deployments

- Proven track record of leading and delivering complex data projects within cloud environments

- Good problem-solving, leadership, and communication skills

- Good understanding of software engineering principles and standards

- Functionally understand ecommerce business processes, especially in the areas of customer transactions, ecommerce website experimentation and AB testing

- Understanding of distributed computing and frameworks like Apache Spark, Hadoop, and Apache Kafka for handling large volumes of data is a plus

WHAT CAN HELP YOUR APPLICATION STAND OUT:

- Experience in data modeling, schema design, and optimizing data structures for performance in Snowflake

- Experience building semantic layers or AI-ready data products

- Working experience in startup environments

- Experience with Agile process methodology, CI/CD automation, Test Driven Development

- Experience in working with Google Analytics and/or Snowplow data

- Knowledge of data governance, security, and compliance standards within cloud-based data solutions

- Understanding of any reporting tools such as Tableau, Qlikview , Looker, PowerBI etc

- Database administration background

Our Commitment to Inclusivity and Diversity

At G2, we are committed to creating an inclusive and diverse environment where people of every background can thrive and feel welcome. We consider applicants without regard to race, color, creed, religion, national origin, genetic information, gender identity or expression, sexual orientation, pregnancy, age, or marital, veteran, or physical or mental disability status. Learn more about our commitments here https://culture.g2.com/commitments.

For job applicants in California, the United Kingdom, and the European Union, please review this applicant privacy notice https://legal.g2.com/applicant-privacy-notice before applying to this job.

How We Use AI Technology in Our Hiring Process G2 incorporates AI-powered technology to enhance our candidate evaluation process. These tools may assist with initial application screening, skills assessment analysis, and identifying candidates whose qualifications align with specific role requirements. While AI technology supports our recruitment workflow, all final hiring decisions remain under human oversight and judgment.

Your Choice Matters: If you would prefer that your application be reviewed without AI assistance, you can opt out by entering your email address in the email entry field at the bottom of the Automated Processing Legal Notice. Choosing to opt out will not disadvantage your application in any way—we will ensure your materials receive a thorough manual review by our hiring team. For additional details about how we handle your information throughout the application process, please review G2's Applicant Privacy Notice https://legal.g2.com/applicant-privacy-notice.