Manager, Data Engineering - (Big Data, Spark, Scala, Python, Cassandra, Elasticserach, AWS, Airflow, SQL)

Bengaluru, India

Nielsen

A global leader in audience insights, data and analytics, Nielsen shapes the future of media with accurate measurement of what people listen to and watch.

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At Nielsen, we believe that career growth is a partnership. You ultimately own, fuel and set the journey. By joining our team of nearly 14,000 associates, you will become part of a community that will help you to succeed. We champion you because when you succeed, we do too. Embark on a new initiative, explore a fresh approach, and take license to think big, so we can all continuously improve. We enable your best to power our future. 
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
  • 6+ 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, Cassandra & Elasticsearch.
  • 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.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Airflow Ansible Architecture AWS Big Data Bitbucket Cassandra CloudFormation Computer Science Docker EC2 Elasticsearch Engineering Git GitLab Hadoop Java JSON Lambda Linux MySQL Oracle Pipelines PostgreSQL Python RDBMS Scala Scrum Security Shell scripting Spark SQL Streaming Terraform Testing

Perks/benefits: Career development

Region: Asia/Pacific
Country: India

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