Valuable Consulting | Hiring | Data Platform Support (HPC Support), Tech Lead | Bangalore/Bengaluru | BigDataKB.com | 2022-09-29

Job Location: Bangalore/Bengaluru

Data Platform Support (Incl. HPC Support), Tech Lead for Top US MNC

JOB QUALIFICATION:

โ€ข Cloud native developer, AWS, GCP

โ€ข Distributed computation engg., AWS HPC Cluster, Ansible automation Experience in Python, Java

โ€ข Experience in batch and orchestration, such as AWS scheduler/ AWS Batch, Slurm, SGE critical

โ€ข Experience in orchestration engine, Bright Cluster

โ€ข Experience in Kubernetes engine, such as AWS EKS or GKE

โ€ข Experience to manage Docker/Containers

โ€ข Experience in distributed Storage, such as Fsx LusterNice to have:

โ€ข NIFI, SPARK, Airflow, HIVE, HDFS, API Integration, Schema Registry, Nifi Registry, BitBucket, S3, RDS, RedShift

Preferred Skills:

โ€ข DevOps knowledge and experience desired

Professional Skills:

โ€ข Ability to lead, motivate and resolve conflicts

โ€ข Can see the big picture and has the drive to aim for it

โ€ข Lead projects and teams, agile development methodology

โ€ข Ability to deal with ambiguity, has the willingness to adapt and change course

โ€ข Good critical reasoning skills

โ€ข Good communicator, quick learner & thinker

โ€ข Works well in a team

Job Description:

โ€ข Consult with design leadership and develop the solution based on approved design

โ€ข Lead the overall technical delivery

โ€ข Act as liaison between offshore and Customer

โ€ข Coordinate with business to gather the requirement

KEY JOB RESPONSIBILITIES:

โ€ข Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.

โ€ข Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources.

โ€ข Create and maintain optimal data pipeline architecture,

โ€ข Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics.

โ€ข Work with stakeholders, including the Executive, Product, Data, and Design teams, to assist with data-related technical issues and support their data infrastructure needs.

โ€ข Assemble large, complex data sets that meet functional / non-functional business requirements.

โ€ข Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.

โ€ข Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.

โ€ข Work with data and analytics experts to strive for greater functionality in our data systems.

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