TalentAQ

TalentAQ

Data Engineer II

Data EngineeringFull Time4-8 yearsRemote23 Lacs - 35 Lacs

Required Skills
14 skills

SQL
ETL
Snowflake
Databricks
AWS
S3
Lambda
Python
Java
Scala
Postgres
NoSQL
CRM
Linux

Job Description

Title: Data Engineer II (#Remote #India/#Portugal) Location Requirement: #Candidates must be located in India or Portugal Overview: Join the Data Platform team of the worlds #1 travel platform, supporting over 390M monthly users and petabytes of data. Key Responsibilities: Build and maintain scalable ETL pipelines using Snowflake, Databricks, and AWS Curate and deliver reliable, validated datasets across multiple departments Write optimized SQL and implement monitoring on critical data flows Partner with cross-functional teams including #analytics, #CRM, and ML Solve pipeline failures and implement #anomaly detection Ensure enterprise-level data quality, lineage, and discoverability Required Skills & Experience: 4+ years in data engineering or #backend software development Expert in SQL and data modeling Strong Python, Java, or Scala coding skills Experience with Snowflake, Databricks, AWS (#S3, Lambda) Background in relational and #NoSQL #databases (e.g., #Postgres) Familiar with #Linux shell and systems administration Solid grasp of data warehouse concepts and real-time processing Excellent troubleshooting, documentation, and QA mindset Nice-to-Have Skills: Experience with data mesh architecture and governance frameworks Hands-on with real-time streaming or event-driven pipelines Previous contributions to observability and monitoring for data platforms Perks & Benefits: Remote work from anywhere in India or Portugal Opportunities to contribute to a globally impactful product Sponsored training & certifications (company pays for two attempts) English lessons with native speakers Team-building events and milestone celebrations Tech & non-tech communities for professional support Work equipment and support for home office
Title: Data Engineer II (#Remote #India/#Portugal) Location Requirement: #Candidates must be located in India or Portugal Overview: Join the Data Platform team of the worlds #1 travel platform, supporting over 390M monthly users and petabytes of data. Key Responsibilities: Build and maintain scalable ETL pipelines using Snowflake, Databricks, and AWS Curate and deliver reliable, validated datasets across multiple departments Write optimized SQL and implement monitoring on critical data flows Partner with cross-functional teams including #analytics, #CRM, and ML Solve pipeline failures and implement #anomaly detection Ensure enterprise-level data quality, lineage, and discoverability Required Skills & Experience: 4+ years in data engineering or #backend software development Expert in SQL and data modeling Strong Python, Java, or Scala coding skills Experience with Snowflake, Databricks, AWS (#S3, Lambda) Background in relational and #NoSQL #databases (e.g., #Postgres) Familiar with #Linux shell and systems administration Solid grasp of data warehouse concepts and real-time processing Excellent troubleshooting, documentation, and QA mindset Nice-to-Have Skills: Experience with data mesh architecture and governance frameworks Hands-on with real-time streaming or event-driven pipelines Previous contributions to observability and monitoring for data platforms Perks & Benefits: Remote work from anywhere in India or Portugal Opportunities to contribute to a globally impactful product Sponsored training & certifications (company pays for two attempts) English lessons with native speakers Team-building events and milestone celebrations Tech & non-tech communities for professional support Work equipment and support for home office

Similar Jobs

10000 jobs available

Data EngineeringContract
Azure
Data Engineer
Databricks
+15 more
Data EngineeringFull Time3-10 years
GCP
BigQuery
Cloud SQL
+17 more
Engineering2-15 years
Azure
AWS
GCP
+8 more
Data Engineering12+ years
Data Bricks
AWS
SnowFlakes
+18 more
Data Engineering
GCP
Python
SQL
+10 more
EngineeringContract10 years
Data LakeHouse
Kubernetes
AWS
+38 more