Bangalore Office BLS2
Open 5 months, first seen by us 154 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Design and maintain ETL/ELT pipelines with Dataflow, Composer, Dataform/dbt and Cloud Functions
Build real-time streaming pipelines with Pub/Sub, Kafka and Dataflow
Architect data lake and warehouse solutions on Dataproc, BigQuery and Cloud Storage
Create dimensional models, fact tables and data marts for business intelligence
Implement automated data quality checks, monitoring and error handling
Design, develop, and maintain scalable ETL/ELT pipelines using Cloud Dataflow, Cloud Composer (Apache Airflow), Dataform/dbt and Cloud Functions
Build real-time streaming data pipelines using Cloud Pub/Sub, Kafka and Dataflow
Architect and implement data lake and data warehouse solutions using Dataproc, BigQuery, Cloud Storage, and Cloud SQL
Create and maintain dimensional models and fact tables for business intelligence
Implement automated data quality checks and monitoring across all data workflows
Experience with containerization (Docker, Kubernetes/GKE)
Experience with data governance and compliance frameworks (GDPR, HIPAA, SOX)
Familiarity with business intelligence tools (Looker, Tableau, Power BI)
Experience with streaming technologies beyond GCP (Kafka, Spark Streaming)
Professional Experience - Bachelor's degree in computer science, Engineering, or related field - 6+ years of experience in data engineering or related roles
Open 5 monthsWe first saw this posting 154 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 154
Up longer than most. Similar jobs usually come down between day 6 and day 54.
Well past Equinix’s usual: its jobs come down by about day 26.
From 11,039 similar postings that came down, and 38 of Equinix’s. Coming down is not always a hire.
6 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- GCP Services: 4+ years hands-on experience with BigQuery, Cloud Dataflow Cloud Composer, Cloud Storage, Cloud Pub/Sub, Dataform/dbt and Cloud Functions - Programming: Proficiency in Python/Java and SQL; experience with Spark/Beam development - Data Technologies: Strong understanding of Apache Beam, Apache Airflow, and distributed computing concepts
- Optimize pipeline performance and cost efficiency through proper resource allocation and scheduling - Architect and implement data lake and data warehouse solutions using Dataproc, BigQuery, Cloud Storage, and Cloud SQL - Design optimal data models, partitioning strategies, and clustering for analytical workloads
- Data Technologies: Strong understanding of Apache Beam, Apache Airflow, and distributed computing concepts - Database Systems: Experience with both RDBMS (Cloud SQL, PostgreSQL, MySQL) and NoSQL (Bigtable, Firestore) databases - Infrastructure as Code: Experience with Terraform, Cloud Deployment Manager, or similar tools
- Ensure data security, encryption, and access control across all storage layers - Build and optimize BigQuery datasets for analytics and reporting use cases - Create and maintain dimensional models and fact tables for business intelligence
Qualifications Technical Skills - GCP Services: 4+ years hands-on experience with BigQuery, Cloud Dataflow Cloud Composer, Cloud Storage, Cloud Pub/Sub, Dataform/dbt and Cloud Functions - Programming: Proficiency in Python/Java and SQL; experience with Spark/Beam development
Responsibilities - Design, develop, and maintain scalable ETL/ELT pipelines using Cloud Dataflow, Cloud Composer (Apache Airflow), Dataform/dbt and Cloud Functions - Build real-time streaming data pipelines using Cloud Pub/Sub, Kafka and Dataflow
- Google Cloud Professional Data Engineer certification - Experience with containerization (Docker, Kubernetes/GKE) - Experience with data governance and compliance frameworks (GDPR, HIPAA, SOX)
Job Summary As a key member of the Data Team at Equinix, we are seeking a skilled GCP Data Engineer who will be responsible for end-to-end development of Data Engineering use cases, Equinix Data Lake platform and tools. You will design, build, and maintain scalable data infrastructure and analytics solutions on Google Cloud Platform. The ideal candidate will have strong expertise in cloud-native data technologies and a passion for building robust, efficient data pipelines that drive business insights. Responsibilities
- 6+ years of experience in data engineering or related roles - 4+ years of specific experience with Google Cloud Platform - Experience with version control systems (Git) and CI/CD pipelines
Preferred Qualifications - Google Cloud Professional Data Engineer certification - Experience with containerization (Docker, Kubernetes/GKE)
- Design, develop, and maintain scalable ETL/ELT pipelines using Cloud Dataflow, Cloud Composer (Apache Airflow), Dataform/dbt and Cloud Functions - Build real-time streaming data pipelines using Cloud Pub/Sub, Kafka and Dataflow - Implement automated data quality checks and monitoring across all data workflows
- Familiarity with business intelligence tools (Looker, Tableau, Power BI) - Experience with streaming technologies beyond GCP (Kafka, Spark Streaming) Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.
- Experience with data governance and compliance frameworks (GDPR, HIPAA, SOX) - Familiarity with business intelligence tools (Looker, Tableau, Power BI) - Experience with streaming technologies beyond GCP (Kafka, Spark Streaming)
- Database Systems: Experience with both RDBMS (Cloud SQL, PostgreSQL, MySQL) and NoSQL (Bigtable, Firestore) databases - Infrastructure as Code: Experience with Terraform, Cloud Deployment Manager, or similar tools Professional Experience
- Programming: Proficiency in Python/Java and SQL; experience with Spark/Beam development - Data Technologies: Strong understanding of Apache Beam, Apache Airflow, and distributed computing concepts - Database Systems: Experience with both RDBMS (Cloud SQL, PostgreSQL, MySQL) and NoSQL (Bigtable, Firestore) databases
Complete your application on equinix.wd1.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Who are we?
Equinix is the world’s digital infrastructure company®, shortening the path to connectivity to enable the innovations that enrich our work, life and planet.
A place where bold ideas are welcomed, human connection is valued, and everyone has the opportunity to shape their future.
Job Summary
As a key member of the Data Team at Equinix, we are seeking a skilled GCP Data Engineer who will be responsible for end-to-end development of Data Engineering use cases, Equinix Data Lake platform and tools. You will design, build, and maintain scalable data infrastructure and analytics solutions on Google Cloud Platform. The ideal candidate will have strong expertise in cloud-native data technologies and a passion for building robust, efficient data pipelines that drive business insights.
Responsibilities
Design, develop, and maintain scalable ETL/ELT pipelines using Cloud Dataflow, Cloud Composer (Apache Airflow), Dataform/dbt and Cloud Functions
Build real-time streaming data pipelines using Cloud Pub/Sub, Kafka and Dataflow
Implement automated data quality checks and monitoring across all data workflows
Optimize pipeline performance and cost efficiency through proper resource allocation and scheduling
Architect and implement data lake and data warehouse solutions using Dataproc, BigQuery, Cloud Storage, and Cloud SQL
Design optimal data models, partitioning strategies, and clustering for analytical workloads
Manage data lifecycle policies and implement automated archival and retention strategies
Ensure data security, encryption, and access control across all storage layers
Build and optimize BigQuery datasets for analytics and reporting use cases
Create and maintain dimensional models and fact tables for business intelligence
Implement data marts and aggregation layers for improved query performance
Support self-service analytics through proper data cataloging and documentation
Having good knowledge of Dataplex and Analytics hub
Integrate data from various sources including databases, APIs, SaaS applications, and file systems
Implement change data capture (CDC) solutions for real-time data synchronization
Work with third-party data providers and external data feeds
Implement comprehensive monitoring and alerting using Cloud Monitoring and Cloud Logging
Troubleshoot data pipeline issues and implement robust error handling mechanisms
Maintain data lineage documentation and impact analysis capabilities
Qualifications
Technical Skills
GCP Services: 4+ years hands-on experience with BigQuery, Cloud Dataflow Cloud Composer, Cloud Storage, Cloud Pub/Sub, Dataform/dbt and Cloud Functions
Programming: Proficiency in Python/Java and SQL; experience with Spark/Beam development
Data Technologies: Strong understanding of Apache Beam, Apache Airflow, and distributed computing concepts
Database Systems: Experience with both RDBMS (Cloud SQL, PostgreSQL, MySQL) and NoSQL (Bigtable, Firestore) databases
Infrastructure as Code: Experience with Terraform, Cloud Deployment Manager, or similar tools
Professional Experience
Bachelor's degree in computer science, Engineering, or related field
6+ years of experience in data engineering or related roles
4+ years of specific experience with Google Cloud Platform
Experience with version control systems (Git) and CI/CD pipelines
Knowledge of data modelling techniques and dimensional modelling
Preferred Qualifications
Google Cloud Professional Data Engineer certification
Experience with containerization (Docker, Kubernetes/GKE)
Experience with data governance and compliance frameworks (GDPR, HIPAA, SOX)
Familiarity with business intelligence tools (Looker, Tableau, Power BI)
Experience with streaming technologies beyond GCP (Kafka, Spark Streaming)
Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form.
Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law.
We use artificial intelligence in our hiring process. Learn more here.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Bangalore Office BLS2
Working pattern and location restrictions need checking in the full posting.
Equinix is committed to ensuring that our employment process is open to all individuals, including those with a disability. If you are a qualified candidate and need assistance or an accommodation, please let us know by completing this form. Equinix is an Equal Employment Opportunity and, in the U.S., an Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to unlawful consideration of race, color, religion, creed, national or ethnic origin, ancestry, place of birth, citizenship, sex, pregnancy / childbirth or related medical conditions, sexual orientation, gender identity or expression, marital or domestic partnership status, age, veteran or military status, physical or mental disability, medical condition, genetic information, political / organizational affiliation, status as a victim or family member of a victim of crime or abuse, or any other status protected by applicable law. We use artificial intelligence in our hiring process. Learn more here.