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    Job · 21227689

    BENGALURU · FULLTIME

    Senior Staff - GCP Data Engineer

    Equinix

    Equinix

    Bengaluru · onsite · Posted 5d ago

    Sourced fromWorkday
    Not disclosed6+ yrsfulltimeBengaluru

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    Section · 01

    About this role

    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: 6+ 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  7+ years of experience in data engineering or related roles  6+ 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 .

    Sourced from workday

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    Section · 02

    Skills

    DockerTerraformKubernetesPostgresqlApache SparkNoSQLApache Kafkadata warehousegoogle cloud platformapache airflowdbtbigqueryPythonPower BiTableauMySQLSQLJavaLookerETLGITCi/Cd

    Section · Company

    About Equinix

    Equinix

    Equinix

    IT Services & Consulting

    533

    employees

    1998

    28 years old

    Redwood City,California

    United States

    About

    Equinix operates as a prominent global data center provider, facilitating interconnection and growth opportunities for firms through its extensive facilities worldwide.

    Industries

    IT Services & ConsultingHardware & NetworkingSoftware Product

    Employee ratings

    129 reviews

    3.1/ 5

    Culture

    3.1

    Career growth

    2.7

    Work-life

    3.4

    Employees rate it well for

    Job Security21Work Life Balance20Salary18Work Culture12Senior Management11

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