Manager, Data Engineering

We’re currently looking for a Manager in our Bangalore, India office to drive the data engineering infrastructure and products to analyze usage patterns for all of Clarivate Analytics’ customer facing propositions. Outputs from this team will directly influence the design of customer facing analytics and will impact revenue.
Being a self-starter who can lead a technology team is a primary ask.  You will bring structure and organization to a variety of customer problems and then drive technology solutions to those problems by bringing together multiple, distributed, cross-functional teams.

About You – experience, education, skills, and accomplishments

• Atleast 8+ years of solid development experience in Data warehousing and Big Data.
• Strong Amazon Web Services (AWS) cloud-focused development skills. Strong design and development experience on Big Data. Must have worked on the following:
• Expertise on database technologies – Oracle, AWS Redshift, Hive, Postgres.
• Strong background on data transformation, enrichment and cleaning.
• Expertise on core AWS services such as VPC, IAM, S3, Kinesis, Firehose, ECS, Eventbridge, SQS, SNS, Glue
• Experience on Apache Spark and MapReduce, Message Queuing: Apache Kafka / JMS, XML & JSON processing
• Experience in troubleshooting, service monitoring, Performance tuning and optimizations

What will you be doing in this role?

• Lead and manage a technical team well versed in AWS services.
• Deliver required development tasks is a timely manner while also helping and guiding team members.
• Contribute to the technology selection, proof of concepts, software architecture.
• Collaborate with other technology groups, including product management, QA, marketing, etc. to deliver a solid product.
• Educate the engineering team on design principles and architectural choices made.
• Conduct code review of deliverable projects and provide feedback.
• Review technical requirements provided by the business for key projects in order to take concepts from design to delivery and Provide constructive feedback to implementation proposals and feature suggestions.
• Provide solid software/component level designs supporting technical requirements.
• Transfer accrued knowledge to other team members though the use of meetings, walk-through, conference calls and other appropriate methods such as tech talks.
• Help drive projects through the full development life-cycle when required, liaising with team leads & external vendors across the business as appropriate.
• Review existing application code base and recommend improvements.
• Ensure that all tasks undertaken are completed to a quality standard. This includes delivery on time, within budget and to specification.
• Recruit new team members

About the team:

The Data Engineering and platform teams plays a major role to ensure the right data reaches the right people at the right time. Using the latest cloud technologies, services and platforms ensures we're equipped with the tools to do so. We are constantly innovating and looking to improve and speeden our data delivery. If you're a person looking to build platforms and enable effective data delivery, SAS Data Engineering team is looking for you.

Hours of Work

• Hybrid
• 45hrs/week- 2-11pm shift

At Clarivate, we are committed to providing equal employment opportunities for all persons with respect to hiring, compensation, promotion, training, and other terms, conditions, and privileges of employment. We comply with applicable laws and regulations governing non-discrimination in all locations.