Manager

🕒 August 25, 2025

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EXL

WebsiteLinkedInAll Job Openings

10,000+ employees

💰 $2M Venture Round on 2015-01

Choosing a digital partner is about more than capabilities — it’s about collaboration and character.

📋 Description

• The Data Engineer is responsible for designing and building data models and pipelines on GCP, Azure, Snowflake, BigQuery, utilizing SQL & Python expertise and following coding best practices. • Design and build data models and pipelines on GCP BigQuery, Azure, Snowflake. • Develop and execute SQL queries (DML) to extract insights from data. • Collaborate with stakeholders to understand data requirements and provide solutions. • Ensure data quality and integrity by following data modeling principles and coding best practices. • Design, build, and maintain robust, scalable ETL/ELT pipelines using BigQuery and GCP-native services (e.g., Dataflow, Cloud Functions, Pub/Sub). • Write efficient SQL queries for data transformation, aggregation, and reporting.

🎯 Requirements

• 4-7 years of experience in data engineering or related field. • Strong expertise in SQL with experience in Google BigQuery. • Hands-on experience with GCP services related to data engineering (e.g., Dataflow, Cloud Storage, Pub/Sub, Composer/Airflow). • Expert-level knowledge of SQL and PL-SQL (primarily DML). • Familiarity with DBT (optional). • Experience with GCP tech stack and coding best practices. • Experience with Azure and Snowflake tech stack. • Expertise with Airflow, DAGs. • Very strong in Python