- Ability to write robust code in Scala
- Understanding of data structures data modelling and software architecture
- You will be responsible for designing, developing, and maintaining scalable data pipelines and applications to process and analyze large volumes of data.
- You will collaborate closely with data engineers, data scientists, and business stakeholders to deliver innovative solutions that drive business insights and decision-making.
- Optimize data pipelines for performance, reliability, and cost efficiency.
- Monitor and troubleshoot production systems to ensure smooth operation
- Stay updated on emerging technologies and best practices in the big data ecosystem
- Minimum Experience Big Data Hadoop 6 years Spark 4 Years Scala 4 years SQL 4 years Kafka 2 years Unix Shell Script 2 years
- Minimum 6 to 8 Years of experience in Big Data and Data Engineering using Scala or Java
- Designing and developing Scala related data pipelines and REST API
- Deep knowledge in spark scala API Experience is required
- Good experience in Hadoop Big Data Hadoop centric Schedulers
- Big Data and reporting System integration through API knowledge is added advantage
- Flexible work
- Healthcare including dental, vision, mental health, and well-being programs
- Financial well-being programs such as (k) and Employee Share Ownership Plan
- Paid time off and paid holidays
- Paid parental leave
- Family building benefits like adoption assistance, surrogacy, and cryopreservation
- Social well-being benefits like subsidized back-up child/elder care and tutoring
- Mentoring, coaching and learning programs
- Employee Resource Groups
- Disaster Relief
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Senior Software Engineer - Atlanta, United States - Capgemini
Description
Title - Senior Software Engineer - Bigdata
Job Location Tampa FL (Hybrid)
Duration Fulltime
Key Responsibilities
Required Skills
Life At Capgemini
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer: