Description:

We are looking for a skilled and detail-oriented Data Engineer to join our team.
The ideal candidate will have strong experience across data engineering, data warehousing, and cloud platforms—particularly GCP.
You'll play a key role in designing and managing efficient data pipelines, enabling scalable analytics, and supporting decision-making across the organization.
The position is remote and based in India.
The salary range for this role is Rs 1200000 - Rs 1400000 (INR 12-14 LPA).
A minimum of 5 years of experience is required for this position.

Requirements:

Write and optimize complex SQL queries, including joins, stored procedures, and certificate-auth-based queries.
Work with NoSQL databases such as Firestore, DynamoDB, or MongoDB.
Design and maintain scalable data models and warehouses; experience with BigQuery is preferred, while Redshift or Snowflake is also acceptable.
Build and manage ETL/ELT pipelines using tools like Airflow, dbt, Kafka, or Spark.
Script and automate data workflows using PySpark, Python, or Scala.
Demonstrate strong hands-on experience with Google Cloud Platform (GCP) services.
Develop dashboards and reporting solutions using tools like Google Looker Studio, LookerML, Power BI, or Tableau.
Collaborate with stakeholders to understand data needs and translate them into effective visualizations.
Familiarity with Master Data Management (MDM) systems is a good-to-have.
An interest in or experience working with Web3 data and blockchain analytics is also a good-to-have.
Key skills required include proficiency in Python, PySpark, Scala, SQL, and experience with NoSQL databases, data tools, and cloud platforms.

The position offers a competitive salary range of Rs 1200000 - Rs 1400000 (INR 12-14 LPA).
The role is fully remote, providing flexibility in work location.
You will have the opportunity to work with cutting-edge technologies and tools in data engineering and analytics.
Collaborating with a diverse team and engaging with various stakeholders will enhance your professional growth.
The role supports scalable analytics and decision-making across the organization, contributing to impactful projects.