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Senior Data Engineer

 

Senior Data Engineer

  • JR-126003
  • Bangalore
  • Information Technology
  • Full time
Senior Data Engineer

Who are we? 

Equinix is the world’s digital infrastructure company, operating 210 data centers across the globe and providing interconnections to all the key clouds and networks. Businesses need one place to simplify and bring together fragmented, complex infrastructure that spans private and public cloud environments. Our global platform allows customers to place infrastructure wherever they need it and connect it to everything they need to succeed.

At Equinix, we help the world’s digital leaders scale with agility, speed the launch of digital services, deliver world-class experiences, and transform people’s lives. Our culture is based on collaboration and the growth and development of our teams. 

We hire hardworking people who thrive on solving challenging problems and give them opportunities to hone new skills, and try new approaches, as we grow our product portfolio with new software and network architecture solutions. We embrace diversity in thought and contribution and are committed to providing an equitable work environment. that is foundational to our core values as a company and is vital to our success.

Qualification & Experience:

  • CS fundamentals: You have earned at least a B.S. / MS in Computer Science, or related degree AND you have a strong ethos of continuous learning.

  • Software engineering & Architecture: at least 6+ years of professional software development experience with languages and systems such as Python/Java, REST API, PySpark, Apache Beam and version control (git), with good analytical & debugging skills.

  • Big data: You have extensive experience with data analytics and working knowledge of big data infrastructure such as Google Cloud, Big Query, Data Flow, AWS, Hadoop Eco System, HDFS, Spark. You've routinely built data pipelines with gigabytes/terabytes of data and understand the challenges of manipulating such large datasets.

  • Data Science/ML Ops: Experience in operationalization of Data Science projects (ML Ops) using at least one of the popular frameworks available.

  • Data Modeling: Flair for data, schema, data model, PL/SQL, Star & snowflake schema, how to bring efficiency in data modeling for efficient querying data for analysis, understands criticality TDD and develops data validation techniques.

  • Real Time Systems: Understands evolution of databases for in-memory, NoSQL & indexing technologies along with experience on real-time & stream processing systems like Google pub/sub, GCP technologies, Kafka, AWS/Azure streaming technologies, Storm, Spark Streaming.

  • Strong design skills: with a proven track record of success on large/highly complex projects preferably in Enterprise Apps and Integration.

  • Project management: You demonstrate excellent project and time management skills, exposure to scrum or other agile practices in JIRA.

  • Excellent verbal and written communication skills: Must be able to effectively communicate & work with fellow team members and other functional team members to coordinate & meet deliverables.

Equinix is an equal opportunity employer. All applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with disability.​

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Equal Employment Opportunity: 
Equinix is an Equal Employment Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, or status as a qualified individual with disability.

(US Applicants)

Please click here to see the “EEO is the Law” poster and supplement.

Please click here to see our EEO Policy Statement.

Please click here to see our Pay Transparency Policy Statement.