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Senior Data Engineer
Nielsen
posted 5d ago
Job Role Insights
Flexible timing
Key skills for the job
Job Description
- Build scalable, reliable, cost-effective solutions for both the Cloud and on-premises with an emphasis on quality, best-practice coding standards, and cost-effectiveness
- Build and test Cloud-based applications for new and existing backend systems to help facilitate development teams to migrate to the cloud.
- Build platform reusable code and components that could be used by multiple project teams.
- Understand the enterprise architecture within the context of existing platforms, services and strategic direction.
- Implement end-to-end solutions with sound technical architecture, in Big Data analytics framework along with customized solutions that are scalable, with primary focus on performance, quality, maintainability, cost and testability.
- Drive innovative solutions within the platform to establish common components, while allowing customization of solutions for different products.
- Develop design specifications, continuous build and deployment strategy to drive Agile methodology
- Setup and manage expectations with consultants engaged in the projects.
- Provide cloud integration development support to various project teams.
- 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
- Mentor junior team members, 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 4-8 years of experience in information technology solutions development.
- Must have strong cloud Implementation expertise in cloud architecture.
- Must have strong analytical and technical skills in troubleshooting and problem resolution.
- Must have the ability to provide solutions utilizing best practices for resilience, scalability, cloud optimization and security.
- 3+ 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.
- Technical Skills
- Experience in software development using programming languages & tools/services: 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, Cassandra & Elasticsearch.
- 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
- "Big data" systems and analysis
- Experience with data warehouses or data lakes
- Mindset and attributes
- Very strong verbal and written communication skills
- Advanced analytical and technical skills in troubleshooting and problem resolution
- Ability to coach, mentor and provide guidance to junior colleagues
Employment Type: Full Time, Permanent
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People are getting interviews through
(based on 73 Nielsen interviews)
Job Portal
Referral
Company Website
Campus Placement
Walkin
Recruitment Consultant
45%
15%
11%
7%
3%
1%
18% candidates got the interview through other sources.
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What people at Nielsen are saying
Rating based on 1 Senior Data Engineer
review
Anonymous · DBA / Data warehousing
in Bengaluru
Likes
Very friendly and helpful peoples
Dislikes
Nothing as of now
Read 1 reviewSenior Data Engineer salary at Nielsen
reported by
14
employees
with 3-9
years exp.
₹12.5
L/yr - ₹24
L/yr
At
par with the average Senior Data Engineer Salary in India
View more details
What Nielsen employees are saying about work life
based on 884 employees
Flexible timing
Monday to Friday
No travel
Day Shift
Nielsen Benefits
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