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

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Job Location: Bangalore/Bengaluru

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

JOB QUALIFICATION:

• Cloud native developer, AWS, GCP

• Distributed computation engg., AWS HPC Cluster, Ansible automation Experience in Python, Java

• Experience in batch and orchestration, such as AWS scheduler/ AWS Batch, Slurm, SGE critical

• Experience in orchestration engine, Bright Cluster

• Experience in Kubernetes engine, such as AWS EKS or GKE

• Experience to manage Docker/Containers

• Experience in distributed Storage, such as Fsx LusterNice to have:

• NIFI, SPARK, Airflow, HIVE, HDFS, API Integration, Schema Registry, Nifi Registry, BitBucket, S3, RDS, RedShift

Preferred Skills:

• DevOps knowledge and experience desired

Professional Skills:

• Ability to lead, motivate and resolve conflicts

• Can see the big picture and has the drive to aim for it

• Lead projects and teams, agile development methodology

• Ability to deal with ambiguity, has the willingness to adapt and change course

• Good critical reasoning skills

• Good communicator, quick learner & thinker

• Works well in a team

Job Description:

• Consult with design leadership and develop the solution based on approved design

• Lead the overall technical delivery

• Act as liaison between offshore and Customer

• Coordinate with business to gather the requirement

KEY JOB RESPONSIBILITIES:

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

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

• Create and maintain optimal data pipeline architecture,

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

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

• Assemble large, complex data sets that meet functional / non-functional business requirements.

• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.

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

• Work with data and analytics experts to strive for greater functionality in our data systems.

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