Big Data Engineer - P50

Adobe changes the world through digital experiences, providing tools for emerging artists to global brands to create exceptional digital experiences.
Data
Senior Software Engineer
In-Person
5,000+ Employees
8+ years of experience
Enterprise SaaS

Description For Big Data Engineer - P50

Adobe, a global leader in digital experiences, is seeking a talented Big Data Engineer to join their team in Bangalore. This role presents an exceptional opportunity to work at the intersection of innovation and enterprise-scale data engineering.

As a Big Data Engineer, you'll be at the forefront of building and maintaining Adobe's sophisticated data infrastructure. You'll work with cutting-edge technologies to develop data platforms, create efficient pipelines, and enable data-driven decision-making across the organization. The role combines technical expertise with strategic thinking, as you'll not only build solutions but also present insights to leadership and mentor junior team members.

The ideal candidate brings 8-12 years of server-side development experience, with at least 4 years focused on Data Engineering. You should be proficient in Java or Python and have extensive experience with big data technologies like Apache Spark, Hive, and AWS EMR. Your strong understanding of data architecture concepts and ability to work with ML engineers and Data Scientists will be crucial.

At Adobe, you'll be part of a company that's passionate about empowering people to create exceptional digital experiences. You'll work in a collaborative environment where innovation is encouraged, and new ideas can come from anywhere. The role offers the opportunity to work on global-scale, data-intensive systems while contributing to products that impact millions of users worldwide.

This position is perfect for someone who combines technical expertise with leadership potential, enjoys solving complex data challenges, and wants to be part of a team that's shaping the future of digital experiences. You'll have the chance to work with advanced technologies, mentor others, and drive innovation in data engineering practices.

Last updated a day ago

Responsibilities For Big Data Engineer - P50

  • Build a data platform using big data processing and warehousing technologies
  • Build, maintain, and ideate on frameworks and tools for data ingestion, storage, and processing
  • Build data pipelines to publish reports and power dashboards for ALM clients
  • Collaborate with cross-functional teams
  • Do analysis and present key findings to leaders
  • Support Machine Learning engineers and Data Scientists with dataset needs
  • Drive innovation through research and experimentation
  • Mentor junior engineers on the team

Requirements For Big Data Engineer - P50

Java
Python
  • Bachelor's degree in computer science or related fields
  • 8-12 years of experience as a server-side developer, with 4+ years in Data Engineering
  • Solid programming skills in Java or Python
  • Strong expertise in Big Data technologies (Delta Lake, Apache Hive, Datahub, Apache Spark, Apache Flink, Apache Storm, Trino, AWS EMR)
  • Strong familiarity with RDBMS, Data Lake, Data Warehouse concepts
  • Knowledge of workflow orchestration tools like Airflow or Oozie
  • Experience working with ML engineers and Data Scientists
  • Experience working with DevOps teams
  • Excellent problem-solving skills
  • Ability to thrive in a collaborative environment

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