The ad says“Experience with various orchestration and batch processing technologies like Apache Airflow”
The ad says“Experience developing against APIs and building scalable systems”
The ad says“7+ years experience automating repetitive tasks (like setups, developer onboarding, support, moving data, etc.)”
The ad says“7+ years of experience building or maintaining cloud infrastructure and services (preferably AWS)”
The ad says“Proficiency in Python and C#. Both are required to be successful in this role”
The ad says“7+ years of experience writing, debugging and refining database queries”
The ad says“Strong experience with containerization such as Docker”
The ad says“Proficiency in Snowflake and MS SQL”
The ad says“Familiarity with monitoring tools for data pipeline performance such as New Relic”
The ad says“7+ years of experience with object oriented languages (preferably Python and C# .Net)”
The ad says“Experience with writing unit tests using frameworks such as PyTest for quality assurance”
The ad says“Proficiency in Python and C#. Both are required to be successful in this role”
The ad says“Proficiency in Snowflake and MS SQL”
The ad says“SQL”
The ad says“Understanding architectural differences between streaming and batch-oriented integrations”
The ad says“Experience with writing unit tests using frameworks such as PyTest for quality assurance”
Two Circles is looking for a Lead Data Engineer to join our dynamic KORE Intelligence Platform team. In this role, you’ll be a key part of our Partnership Intelligence > Measurement Team that specializes in the ingestion, transformation, and storage of large-scale social and broadcast data
Working under the guidance of an experienced Data Engineers and Architects, you will gain hands-on experience designing and maintaining scalable, efficient data pipelines that support enterprise web applications, analytics, and business intelligence
We are seeking a Senior Data Engineer to join our Measurement team in the Partnership Intelligence Platform. You will round out the team with expertise in directly managing AWS Services, with technologies such as Airflow, Snowflake, MS SQL Server and .Net
Work as part of a cross-functional product team to deliver a high-quality SaaS based data platform
Design and implement data pipelines with a clear focus on data quality and reliability
Partner with both Product Management and stakeholders, as well as both technical and non-technical team members to deliver our vision, roadmap, and data strategy in addition to innovative client solutions
Act as an advocate for development best practices including technical design reviews, implementing test plans, test driven development, monitoring/alerting, peer code reviews, and documentation
Contribute to our DevOps culture and participate in ownership of our designs through production operations
Support the ongoing maintenance and operations of the data platform
Benefits
Renowned Team Days often throughout the year
Discretionary Bonus based on company performance
Performance Reviews every 6 months with discretionary salary increases
Summer Away Days
23 standard days of holiday (+ 1 Birthday, +2 for a ‘Big Life Event’ and +1 Admin Day), closure of office over Christmas (plus Bank Holidays)
Private healthcare (Vitality) and/or Health Care Plan (Medicash)
Mobile phone contribution
Sport Challenge contribution
Gym membership contribution
2x annual kit drops
Tickets to sporting events
Lunch once a week, breakfast and continuous supply of snacks
Private healthcare schemes
Cycle to work scheme
Learning and Development opportunities, including certification in certain areas
Preferred experience
7+ years of experience with object oriented languages (preferably Python and C# .Net)
7+ years of experience writing, debugging and refining database queries
Strong experience with containerization such as Docker
Experience with writing unit tests using frameworks such as PyTest for quality assurance
Understanding architectural differences between streaming and batch-oriented integrations
Proficiency in Snowflake and MS SQL
7+ years of experience in software engineering with a data focus, working in a fast-paced, agile environment
7+ years of experience building or maintaining cloud infrastructure and services (preferably AWS)
Familiarity with monitoring tools for data pipeline performance such as New Relic
Experience developing against APIs and building scalable systems
Experience with various orchestration and batch processing technologies like Apache Airflow
Proficiency in Python and C#. Both are required to be successful in this role
Experience designing and managing large scale data pipelines is a must for this role, as well as a keen interest to explore new technologies and solutions
We are looking for someone who brings experience and passion working with the flow of data and infrastructure