inDrive

Senior Analytics Engineer(Data Ops)

Posted 9 Days Ago

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Hiring Remotely in Kazakhstan

Remote or Hybrid

Senior level

Transportation

The Role

Design, build, and maintain scalable data warehouse architecture and incremental ETL pipelines using BigQuery and Airflow. Implement data quality checks, optimize data marts, perform source-system analysis, validate data, and document architectures while collaborating with stakeholders to translate business needs into data requirements.

Summary Generated by Built In

We are currently actively building a Data Warehouse a key part of the product. We work with cutting edge technologies (GCP, AWS, Airflow, Kafka, K8s) and make infrastructure and architectural decisions based on data. We are building a large scale data infrastructure for analytics, machine learning, and realtime recommendations.
Our tech stack
Languages: Python, SQL
Frameworks: Spark, Apache Beam
Storage and analytics: BigQuery, GCS, S3, Trino, other GCP and AWS stack
components Integration: Apache Kafka, Google Pub/Sub, Debezium
ETL: Airflow 2
Infrastructure: Kubernetes, Terraform
Development: GitHub, GitHub Actions, Jira

Key Responsibilities

Gather and clarify requirements from diverse stakeholders across the company.
Design and evolve DWH Architecture (ODS and Data Mart layers) with a focus on scalability, performance, and data security standards.
Build robust and efficient incremental pipelines; develop and optimize data marts in BigQuery (Dataform/SQL/DBT) and Airflow.
Participate in testing, data validation, and release processes
Design and implement data quality checks; investigate data quality issues and consistency discrepancies across various pipelines.
Perform deep-dive analysis of source systems to build efficient data flows from source to consumption.
Maintain architectural and technical documentation to ensure data transparency and compliance.

Skills, Knowledge and Expertise

3+ years of experience as an Analytics Engineer / DWH Engineer / Data Analyst working with DWH
Hands-on experience with data warehouses
Strong understanding of DWH architecture and data layers (ODS, Data Marts)
Understanding of incremental loads, historical data handling, and deduplication
Strong SQL skills
Experience designing and optimizing data marts
Experience with BigQuery (partitioning, clustering, cost-aware querying)
Experience with Airflow or similar orchestration tools
Python for data processing and ETL tasks
Ability to work with stakeholders and translate business needs into data requirements

Must have to be familiar with:

Languages: SQL (strong knowledge), Python (basic knowledge)
Orchestration: Airflow or similar orchestration tool
Version Control: Git
Experience with Data Quality / Data Governance / SLAs

Nice to be familiar with:

Cloud & Storage: Google Cloud Platform (BigQuery, Cloud Storage, Dataform, DBT)

Conditions

Stable salary, official employment;
Health insurance;
Hybrid work mode and flexile schedule;
Relocation package offered for candidates from other regions;
Access to professional counseling services including psychological, financial, and legal support;
Discount club membership;
Diverse internal training programs;
Partially or fully payed additional training courses;
All necessary work equipment.

About
inDrive is a global tech company on a mission to challenge injustice. We started in 2012 in the coldest city on Earth, when a group of friends created a way for people to agree on fair ride prices. That idea grew into one of the world’s top ride-hailing apps, now with 360M installs across 48 countries.Today, we offer more than rides: from freight and delivery to intercity travel and financial services, all designed to put people first. Our goal is to positively impact 1 billion lives by 2030. Through inVision, our non-profit arm, we support education, entrepreneurship, and equality in underserved communities.Ready to ignite your inner drive?

Skills Required

3+ years of experience as an Analytics Engineer / DWH Engineer / Data Analyst working with DWH
Hands-on experience with data warehouses
Strong understanding of DWH architecture and data layers (ODS, Data Marts)
Understanding of incremental loads, historical data handling, and deduplication
Strong SQL skills
Experience designing and optimizing data marts
Experience with BigQuery (partitioning, clustering, cost-aware querying)
Experience with Airflow or similar orchestration tools
Python for data processing and ETL tasks (basic knowledge)
Version control: Git
Experience with Data Quality / Data Governance / SLAs
Ability to work with stakeholders and translate business needs into data requirements
Experience with Spark
Experience with Apache Beam
Experience with GCP services (BigQuery, Cloud Storage) and Dataform/DBT
Familiarity with AWS (S3) and Trino
Experience integrating streaming systems (Kafka, Google Pub/Sub, Debezium)
Familiarity with Kubernetes and Terraform
Familiarity with GitHub Actions, GitHub, and Jira

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The Company

HQ: Mountain View, CA

What We Do

inDrive is a global IT and transportation platform inDrive is one of the world’s fastest growing online ride-hailing services. Its services are available in over 749 cities in 46 countries throughout the world. The Company’s app has been downloaded over 150 million times. inDrive offers other services, including intercity transportation, freight and cargo services, as well as delivery services in different markets of operations. inDrive is based in Mountain View, California, and operates regional hubs in the Americas, Asia, the Middle East, Africa and the countries of the CIS, and employs over 2,000 people. In early 2021, inDrive achieved unicorn status after closing a $140m investment round with Insight Partners, General Catalyst, and Bond Capital, which valued the company at $1.23 billion.