Engineering Manager / Senior Engineering Manager - Gurgaon / Mumbai / Bangalore
Engineering Manager / Senior Engineering Manager - Gurgaon / Mumbai / Bangalore
Nielsen
Bangalore Urban, Karnataka, India
See who Nielsen has hired for this role
Role Title Senior Manager / Manager, Software Engineer
Location- Bangalore , Mumbai & Gurgaon
Skill Type Big Data Engineers
Team Data Prep & Factories
Nielsen, a global company specializing in audience measurement and analytics, is currently seeking a proficient leader in data engineering to join their team in Bangalore, Gurgaon, or Mumbai.
In this role, you will be managing a scrum team and overseeing an advanced data platform that analyzes audience consumption patterns across various channels like OTT, TV, Radio, and Social Media worldwide. You will be responsible for building and supervising a top-performing data engineering team that delivers data for targeted campaigns. Moreover, you will work with AWS services (S3, Lambda, Kinesis) and other data engineering technologies such as Spark, Scala/Python, Kafka, etc. There may also be opportunities to establish deep integrations with OTT platforms like Netflix, Prime Video, and others. Furthermore, you will be accountable for ensuring engineering and operational excellence, as well as fostering a culture of innovation and experimentation within the team. Developing leaders within the team is another crucial aspect of this role.
About the role
This position is responsible for participating as a team lead / developer in analyzing and
designing highly-complex or business-critical applications, as well as developing, testing, and
supporting application software.
Responsibilities
● Oversee the development of scalable, reliable, and cost-effective software solutions with an
emphasis on quality, best-practice coding standards, and cost-effectiveness
● Participate as a team lead on projects, which includes training, coaching, and sharing technical
knowledge with less experienced staff.
● Rapidly identify and resolve technical incidents as they emerge
● Build rapid technical prototypes for early customer validation of new technologies
● Collaborate effectively with Data Science to understand, translate, and integrate methodologies
into engineering build pipelines
● Collaborate with product owners to translate complex business requirements into technical
solutions, providing leadership in the design and architecture processes.
● Provide expert apprenticeship to project teams on technology strategy, cultivating advanced skill
sets in application engineering and implementing modern software engineering practices
● Lead and mentor a team of Software Developers and Senior Software Developers, providing
guidance and support in their professional development
● Stay informed about the latest technology and methodology by participating in industry forums,
having an active peer network, and engaging actively with customers
● Cultivate a team environment focused on continuous learning, where innovative technologies
are developed and refined through collaborative effort
Key Skills
Domain Expertise
○ Bachelor’s degree in computer science, engineering plus 5-8 years of experience in
information technology solutions development and 2-3 years managing teams.
○ Proven experience in leading and managing software development teams.
○ Must have strong cloud Implementation expertise in cloud architecture.
○ Must have the ability to provide solutions utilizing best practices for resilience,
scalability, cloud optimization and security.
○ Basic project management skills.
Technical Skills
● 8+ years of experience: big data using Apache Spark in developing distributed
processing. applications; building applications with immutable infrastructure in the AWS
Cloud with automation technologies like Terraform or Ansible or CloudFormation.
● Experience in Service-oriented architecture, Spark Streaming, and Git.
● Experience in software development using programming languages & tools/services like:
Java or Scala, Big Data, Hadoop, Spark, Spark SQL, Presto \ Hive,Cloud (preferably AWS),
Docker, RDBMS (such as Postgres and/or Oracle), Linux, Shell scripting, GitLab, Airflow.
● Experience in big data processing tools/languages using Apache Spark Scala.
● Experience with orchestration tools: Apache Airflow or similar tools.
● Strong knowledge on Unix/Linux OS, commands, shell scripting, python, JSON, YAML.
● Agile scrum experience in application development is required.
● Strong knowledge in AWS S3, PostgreSQL or MySQL.
● Strong knowledge in AWS Compute: EC2, EMR, AWS Lambda.
● Strong knowledge in Gitlab /Bitbucket .
● AWS Certification is a plus.
Mindset and attributes
● Exceptional verbal/written communication and interpersonal skills.
● Strong leadership qualities and the ability to inspire and motivate a team.
● Strong ability to translate business requirements into technical solutions and guide the
team in execution.
-
Seniority level
Mid-Senior level -
Employment type
Full-time -
Job function
Engineering -
Industries
Software Development
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