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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