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Senior Associate Data Engineer

Equinix Open
Hybrid Bangalore Office BLS2 Full-time Senior Data Engineering

At a glance

Senior Data Engineering role at Equinix. Bangalore Office BLS2 · full-time.

Pay not stated Data Engineering salary

RoleData Engineering
SenioritySenior
LocationBangalore Office BLS2
WorkplaceHybrid
EmploymentFull-time
PostedOct 26, 2026
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and maintain ETL/ELT workflows with Google Cloud data services and tools such as Dataform or dbt
  • Create streaming pipelines with Pub/Sub, Kafka and Dataflow, including change-data capture for real-time updates
  • Shape data lakes, warehouses, BigQuery models and marts for analytics and reporting
  • Add quality checks, monitoring, alerting and error handling to keep workflows reliable and efficient
  • Set data access protections, retention policies, lineage records and documentation across storage and analytics layers

What you bring

  • At least two years using BigQuery, Dataflow, Composer, Cloud Storage, Pub/Sub, Dataform or dbt, and Cloud Functions
  • At least two years working in data engineering or a related role, including experience with Google Cloud
  • A bachelor's degree in computer science, engineering or a related discipline
  • Working ability with Python or Java and SQL, plus experience with Spark or Beam

Who this fits

This senior associate role suits someone who can build Google Cloud data pipelines and analytics infrastructure, with a mix of batch and streaming work. The position is based at the Bangalore office and is hybrid.

From the employer

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.

Help us challenge assumptions, uncover bias, and remove barriers—because progress starts with fresh ideas. You’ll find belonging, purpose, and a team that welcomes you—because when you feel valued, you’re empowered to do your best work.

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: 2+ 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
  • 2+ years of experience in data engineering or related roles
  • 2+ 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.


This posting is a new position within our organization.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.