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.

Job Description:

Responsibilities include understanding Data Pipeline & Data Engineering requirements, architecture design, development of Data Pipeline mapping and framework using GCP, SQL, Informatica, Python, Exasol. This is a technical position providing hands-on delivery role, working with the cross-functional teams, while ensuring excellent cross functional relationship.

Job Details:

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.

• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Google ‘big data’ technologies.

• Build processes supporting data transformation, data structures, metadata, dependency and workload management.

• Work with stakeholders including the BSA, Report developers, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.

• Additional responsibilities include troubleshooting, maintenance, and optimization or enhancement of existing processes.

• Partner with engineering leads and architects to define & coordinate technical design.

• Design and code reviews to ensure standards and quality level for the build

• Performance tuning of Data Pipeline jobs to meet SLA

• Prepare technical documentations on the deliverables

• Identify, define and implement best practices for process improvements for SDLC management

Experiences:

• Platform, product & software experience: You have 6+ years of hands-on experience using SQL, GCP, Informatica, Python and version control (git) with good analytical & debugging skills. Good to have experience in Data flow, Exasol, big data infrastructure, real time streaming, CDC, Java, java script.

• Data modeling: Flair for data and strong design skills in data model, PL/SQL, dimensional model/star & snowflake schema, data lake/mart/set and to bring efficiency in data modeling for efficient querying data for analysis, understands criticality TDD and develops data validation techniques.

• Cross functional domain experience: Must have experience in cross functional domain and end to end knowledge of business function like CRM (Oppty, Quote, Order, Fulfilment, Asset) and Finance (AP, AR, Revenue).

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

• Must possess 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.

• 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.

Must Have:

Software engineering & Architecture

• Python / Java, version control (git), REST API, analytical & debugging skills

Big Data

• Google Cloud Platform, Big Query, Data Flow

Data Modeling

• Data modeling, PL/SQL, star & snowflake schema design, in-memory

Real Time Systems

• Google pub/sub, GCP technologies, Kafka

Good to have:

Software engineering & Architecture

• PySpark, Apache Beam, AWS/Azure, Hadoop Eco System, HDFS, Spark

Data Modeling

• NoSQL & indexing technologies

Real Time Systems

• AWS/Azure streaming technologies, Storm, Spark Streaming

Viz. Tools

• Tableau, PowerBI

Data Science/ML Ops

• Teraform, Ansible, Kubeflow, Google AI Platform

Leadership Competencies:

• Collaborative: Facilitates effective collaboration among coworkers and external partners by encouraging to work together as a team, to share their honest views and reacts in a non-defensive way, involves others as appropriate when making decisions on behalf of the team. Makes sure that both individuals and the team receive credit for contributions and accomplishments.

• Cultivates Innovation: Motivates others to find new and better ways to address challenges. Encourages people to incorporate varied perspectives to strengthen the innovation process. Provides support and resources for promising ideas through prototyping and experimentation. Challenges the team/ others to develop breakthrough solutions.

• Drives Results: Emphasizes the importance of achieving results; challenges poor outcomes or unproductive behaviors in workgroups. Provides assistance and encouragement to help workgroups/ project groups over obstacles. Takes steps to promote urgency in workgroups to reach goals and meet deadlines. Generally, overcomes obstacles and delivers results through a team.

Other Leadership Competencies:

People

• Influencing People: Communicates Effectively, Drives Engagement, Drives Vision and Purpose, Organizational Savvy, Persuades

• Optimizing Diverse Talent: Builds Effective Teams, Develops Talent

Results

• Taking Initiative: Action Oriented, Resourcefulness

Self

• Being Authentic: Instills Trust

• Being Flexible and Adaptable: Being Resilient, Manages Ambiguity, Nimble Learning

• Being Open: Demonstrates Self-Awareness, Self-Development, speak up & step up.

Thought

• Making Complex Decisions: Balances Stakeholders, Decision Quality

• Understanding the Business: Business Insight, Customer Focus, Financial Acumen, Tech Savvy

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.​