Details on tech stack
Key Requirements To Have The Following Skills
- Hadoop ecosystem
- Spark
- SQL
- Scala/Java
- AWS
Responsibilities
- Minimum 8 years of hands-on experience overall and 4+ years experience in Data Engineering roles.
- Extensive experience with the Hadoop ecosystem and Spark (batch and streaming processing).
- Demonstrated proficiency with major cloud platforms (e.g., AWS, Azure, GCP).
- Expert-level SQL skills for complex data manipulation and querying.
- Strong programming background in Java and/or Scala.
- Proficiency in at least one scripting language, with a preference for Python.
- Desire and ability to quickly learn new tools and technologies
- Ability to proactively identify and solve engineering problems
- Good interpersonal communication skills, both verbal and written
- Design, build, and optimize robust data pipelines using big data technologies.
- Implement and manage data solutions on cloud platforms.
- Ensure data quality, reliability, and performance.
Requirements
Key requirements to have the following skills
- Hadoop ecosystem
- Spark
- SQL
- Scala/Java
- AWS
Nice to have
- Minimum 8 years of hands-on experience overall and 4+ years experience in Data Engineering roles.
- Extensive experience with the Hadoop ecosystem and Spark (batch and streaming processing).
- Demonstrated proficiency with major cloud platforms (e.g., AWS, Azure, GCP).
- Expert-level SQL skills for complex data manipulation and querying.
- Strong programming background in Java and/or Scala.
- Proficiency in at least one scripting language, with a preference for Python.
- Desire and ability to quickly learn new tools and technologies
- Ability to proactively identify and solve engineering problems
- Good interpersonal communication skills, both verbal and written
- Design, build, and optimize robust data pipelines using big data technologies.
- Implement and manage data solutions on cloud platforms.
- Ensure data quality, reliability, and performance.
We offer
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- Well-equipped office
About Us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.
