Do you love to work on bleeding-edge Big Data technologies, do you want to work with the best minds in the industry, and create high-performance scalable solutions Do you want to be part of the team that is solutioning next-gen data platforms Then this is the place for you.
You want to architect and deliver solutions involving data engineering on a Petabyte scale of data, that solve complex business problems
Impetus is looking for a Big Data Developer that loves solving complex problems, and architects and delivering scalable solutions across a full spectrum of technologies.
Experience in providing technical leadership in the Big Data space (Hadoop Stack like Spark, M/R, HDFS, Hive, etc.
Should be able to communicate with the customer in the functional and technical aspects
Expert-level proficiency in Python/Pyspark
Hands-on experience with Shell/Bash Scripting (creating, and modifying scripting files)
Control-M, AutoSys, Any job scheduler experience
Experience in visualizing and evangelizing next-generation infrastructure in Big Data space (Batch, Near Real-time, Real-time technologies).
Should be able to guide the team for any functional and technical issues
Strong technical development experience in effectively writing code, code reviews, and best practices code refactoring.
Passionate for continuous learning, experimenting, applying and contributing towards cutting-edge open-source technologies and software paradigms
Good communication, problem-solving & interpersonal skills. Self-starter & resourceful personality with the ability to manage pressure situations.
Capable of providing the design and Architecture for typical business problems.
Exposure and awareness of complete PDLC/SDLC.
Out of box thinker and not just limited to the work done in the projects.
Must Have
Experience with AWS(EMR, Glue, S3, RDS, Redshift, Glue)
Cloud Certification
valuate and recommend the Big Data technology stack best suited for customer needs.
Design/ Architect/ Implement various solutions arising out of high concurrency systems
Responsible for timely and quality deliveries
Anticipate on technological evolutions
Ensure the technical directions and choices.
Develop efficient ETL pipelines through spark or Hive.
Drive significant technology initiatives end to end and across multiple layers of architecture
Provides strong technical leadership in adopting and contributing to open-source technologies related to Big Data across multiple engagements
Designing /architecting complex, highly available, distributed, failsafe compute systems dealing with a considerable amount (GB/TB) of data
Identify and work on incorporating Non-functional requirements into the solution (Performance, scalability, monitoring etc.)
