Our Company

Changing the world through digital experiences is what Adobe’s all about. We give everyone—from emerging artists to global brands—everything they need to design and deliver exceptional digital experiences! We’re passionate about empowering people to create beautiful and powerful images, videos, and apps, and transform how companies interact with customers across every screen.

We’re on a mission to hire the very best and are committed to creating exceptional employee experiences where everyone is respected and has access to equal opportunity. We realize that new ideas can come from everywhere in the organization, and we know the next big idea could be yours!

Opportunity:
You will be Leading the Data Engineering operations in IT-SRE(Global Operations Team). The hire will be responsible for expanding and optimizing our data and data pipeline operations. We are looking for a Senior Big Data Engineer with a strong data operations background who is passionate about developing solutions to scale monitoring, alerting, automations and data operations management. We are a multi-data applications & platform environment (Big Data / Azure / BI) are key focused on operations excellence helping customers succeed. This individual should be self-motivated and have a drive for quality.

What you’ll do:
Provide deep technical troubleshooting for escalated issues on data applications and data platforms that involve Big Data Applications / Azure.
Will use troubleshooting, monitoring, and reporting tools to analyse the root cause of serious and impactful technical issues and partner to build stable and sustainable solutions and continuously work towards improvements.
Work closely with data engineering operations, data engineers, platforms, internal escalation teams and product management to seek solutions for customers and drive ownership of tasks toward completion.
Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure/platforms needs.
Drive and improve the whole lifecycle of operational readiness – from inception and design, through deployment, operation, and refinement.
Develop tools, operational enhancements and automated solutions that enable self-service, self-healing and improve monitoring in support of business-critical customer facing applications and environments.
Partner with Data Engineering & Data Platforms team to ensure proper monitoring and metrics are being built into the applications before going to production.
Participate in an on-call rotation / Critical Incidents.
Partner with Product Management teams to understand the business & consumption of respective data assets.

What you need to succeed:
Bachelor’s Degree in Computer Science or equivalent and 6+ years of relevant work experience.
Experience in Data Engineering, Data Analytics, Big Data, Enterprise Data Warehouse.
Experience with big data tools: Hadoop, Spark, Hive, Sqoop, Kafka, Oozie, etc.
Experience with relational SQL and NoSQL databases.
Experience with data pipeline and scheduler management tools: Tidal or Ctrl-M or Autosys or Airflow.
Knowledgeable with BI reporting / representation layer (Tableau or Power BI).
Experience monitoring, troubleshooting and tuning Sql’s, Improve scripts and operational expertise such as good troubleshooting skills, understanding of systems capacity, Data Depth.
Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
Good to have exposure to basics of memory, CPU, OS, storage, and networks as part of platforms.
Good to have exposure to Azure cloud, Databricks.
Good to have knowledge on Airflow(Astronomer).
Knowledgeable in automation, Programming ability with Python, Java, Shell Script.
Design & implement new Automation components using various emerging technologies.
Ability to scope operations project work, estimate effort and then break down work into sub-tasks.
Excellent information management practices, such as detailed documentation, usage of wikis, and other collaboration tools.
Excellent written and verbal communication skills, demonstrating the ability to effectively convey technical information to both technical and non-technical audiences.