Job Location: Gurgaon/Gurugram
Experience: 2 Years to 6 Years(SBA-Senior Business Analyst / LA-Lead Associate)
Role: Data Engineer(Bigdata+Cloud)
Location: Bangalore
Experience: 6 Years to 10 Years(AC-Associate Engineer / C-Consultant)
Role: Data Engineer(Bigdata+Cloud)
Location: Gurgaon
Responsibilities:
- You will be joining a team of passionate data professional focused on data engineering and analytics offerings provided to fortune 500 companies.
- You need to design and implement ETL pipelines, EDW or Data Lake solutions.
- You will design and implement real time data ingestion and processing solutions.
- You will be translating complex business problems into scalable technical solutions
- Perform code review to ensure quality deliverables through coding standards and best practices
- Collaborate with a highly performing data engineering team and own the end to end solution implementation
- Lead and mentor a team of data engineers while maintaining a hands-on role
Career development roadmap:
- Architect the end to end data solutions
- Be a consultant and strategic advisor in data engineering projects
- Build and develop a team of high performing data engineers through hiring, coaching and mentoring
- Drive and be accountable for technical delivery through effective strategy and execution
- Facilitate interaction with customers in understanding their business problems and provide best in class data solutions
- Help to develop great engineering and organizational practices through different software development practices.
Role expectations:
- Good working exposure in Big Data and Azure/AWS/GCP cloud
- 1 years of hands on experience in object-oriented languages like Python, Pyspark or Scala is a must
- 1 years of hands on experience in any flavors of SQL or No SQL databases like Cassandra, MongoDB, HBase etc.
- 1 years of experience in Relational and dimensional modelling
- Experienced in development testing and deployment, coding standards and best practices
- Experience in batch processing/real time implementations using Sqoop, Kafka, Hadoop, spark, Hive etc.
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