Big Data Engineer

2 months ago

Bengaluru, Karnataka, India Adobe Full time

JOB LEVEL

P50

EMPLOYEE ROLE

Individual Contributor

P50 (ESDEP50) Big Data Engineer

What You'll Do

  • Build the underneath data platform and maintain data processing pipelines using best in class technologies. Special focus on R&D to challenge status-quo and build the next generation big data platform that is efficient and cost effective.
  • Translate complex technical and functional requirements into detailed designs.
  • Collaborate with Data Scientists and Product Managers to bring AI-based Assistive experiences to life. Create the roadmap and socialize among team members and stake holders.
  • Create and instill a team culture that focuses on sound scientific processes and encourages deep engagement with our customers.​
  • Handle project scope and risks with data, analytics, and creative problem-solving.
  • Help define data governance policies and implement security and privacy guard rails.

What you require:

  • Hands-on engineer with extensive experience ingesting, storing, processing, and analysing large datasets
  • Understanding of data-warehousing and data-modelling techniques
  • Experience working (deploying and operationalising) with DNN frameworks like TensorFlow or PyTorch on large-scale data sets will be a great plus.
  • Proficient in some of the following tools and technologies:
    • Languages: Python, Java/Scala, SQL
    • Dev-ops pipelines
    • Container orchestration: Docker, Kubernetes
    • Hadoop ecosystem: Hadoop, Spark, Hive etc.
    • Stream processing: Storm, Flink etc.
    • Workflow: Airflow, Flyte, etc.
    • Data Engineering ecosystem: DeltaLake, DataHub etc.
  • General understanding of data structures, algorithms, multi-threaded programming, and distributed computing concepts
  • Ability to be a self-starter and work closely with other data scientists and software engineers to design, test, and build production-ready ML and optimization models and distributed algorithms running on large-scale data sets

Ideal Candidate Profile:

A total of 10+ years of experience in technical roles involving Big Data Engineering, implementation of Machine Learning models.

Masters or B.Tech in Engineering.

Deep knowledge of Big Data Architectures, Platforms, Frameworks.

Experience with Real Time Bidding / Ad Tech background preferred.

Comfort with ambiguity, adaptability to dynamic environment, and the ability to lead a team while working autonomously.

Demonstrated ability to influence technical and non-technical stakeholders.

Track record of delivering cloud-scale, data-intensive applications and services that are widely adopted with large customer bases.

An ability to think strategically, look around corners, and create a vision for the current quarter, the year, and five years down the road.

A relentless pursuit of great customer experiences and continuous improvements to the product.

Excellent Verbal, Written and interpersonal communication skills.

Internal Opportunities

Creativity, curiosity, and constant learning are celebrated aspects of your career growth journey. We're glad that you're pursuing a new opportunity at Adobe

Put your best foot forward:

1. Update your Resume/CV and Workday profile – don't forget to include your uniquely 'Adobe' experiences and volunteer work.

2. Visit the Internal Mobility page on Inside Adobe to learn more about the process and set up a job alert for roles you're interested in.

3. Check out these tips to help you prep for interviews.

4. If you are applying for a role outside of your current country, ensure you review the International Resources for Relocating Employees on Inside Adobe, including the impacts to your Benefits, AIP, Equity & Payroll.

Once you apply for a role via Workday, the Talent Team will reach out to you within 2 weeks. If you move into the official interview process with the hiring team, make sure you inform your manager so they can champion your career growth.

At Adobe, you will be immersed in an exceptional work environment that is recognized around the world. You will also be surrounded by colleagues who are committed to helping each other grow through our unique Check-In approach where ongoing feedback flows freely. If you're looking to make an impact, Adobe's the place for you. Discover what our employees are saying about their career experiences on the Adobe Life blog and explore the meaningful benefits we offer.

Adobe is an equal opportunity and affirmative action employer. We welcome and encourage diversity in the workplace regardless of gender, race or color, ethnicity or national origin, age, disability, religion, sexual orientation, gender identity or expression, veteran status, or any other characteristics protected by law.

If you have a disability or special need that requires accommodation to navigate our internal careers site or to complete the application process, please contact

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