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Affinity Global Advertising

Compare

3.0

based on 93 Reviews

5 Affinity Global Advertising Jobs

Engineering Manager, Backend & Data Engineering

Affinity Global Inc

3.0

based on 93 Reviews

10-15 years

Bangalore / Bengaluru

1 vacancy

Engineering Manager, Backend & Data Engineering

Affinity Global Advertising

posted 15hr ago

Job Role Insights

Flexible timing

Key skills for the job

Python Cloud Computing Front End C++ Data Mining Product Design

+ 2 more

Job Description

Lead the engineering team to develop features and improvements to the Affinidi Elements product in a secure, well-tested, and performant way, primarily using Typescript, Python & AWS Data Analytics Suite of Services.
Analyze and interpret highly complex data to arrive at actionable recommendations for the tasks on team and cross-team level.
Collaborate with Product Management and other stakeholders within Engineering (eg Data Publishers, UX) to maintain a high bar for quality in a fast-paced, iterative environment
Collaborate in building the product and technology roadmap with peers, product managers, designers and stakeholders.
Advocate for improvements to product quality, security, and performance
Guide the team in solving technical problems with large scope and complexity
Guide the team in crafting code that meets our internal standards for style, maintainability, and best practices for a high-scale systems environment. Maintain and advocate for these standards through practices inside the team and department.
Confidently own delivery of significantly complex features and improvements with minimal guidance and support. Collaborate with cross-functional teams and peers on larger projects.
Lead by example and constantly coach and mentor engineers in achieving the next level of career and professional growth.
Lead and create a diverse, dynamic, collaborative, transparent culture where everyones
ideas and opinions are equally valued

Youll be a great match if you:

Have a minimum of 10 years of overall experience;
Have experience with performance and optimization problems; especially when it comes to processing high volume of data in batch and streaming modes.
Have 3-5 years of experience in data infrastructure development and expertise in areas such as data mining, OLAP, ETL, data modelling, complex SQL queries and performance tuning
Have exposure to different data infrastructure architecture pattern s.
Have expertise in leading development of external APIs and SDKs.
Have a demonstrated ability to both diagnose and prevent such problems, and a desire to share your knowledge and scale through others;
Enjoy leading the engineering team in a fast-paced startup environment where the team can be autonomous and experimental, be part of a truly global team, and can work up and down the stack;
Have strong experience of leading the team in delivering production quality products according to industry standards;
Have expertise in building systems with good internal stakeholder adoption and good developer experience around interacting with Data Infrastructures;
Have strong technical documentation skills, including the C4 Model and Architectural Decision Records;
Desire to move forward the state of the art by delivering solutions to unlock data
ownership with a strong focus on decentralized technology
Are a passionate developer with extensive experience using Python, Typescript, Nodejs, Spark, Trino, dbt, Flink, AWS Data Suite tools like AWS Glue, AWS Athena, AWS QuickSight, AWS Redshift, etc. Other languages like CSharp, C++, GoLang, Rust for example are also attractive skills for this role;
Understand OLTP NoSQL databases like DynamoDB and messaging patterns for async communication among services.
Have expertise in cloud computing and native environments (AWS serverless preferred);
Understand design patterns and have working experience in leading development and deployment of microservices, data ETLs, aggregations, orchestration in the cloud, and have a proven track-record in doing so;
Are hands-on with REST APIs and can apply Test Driven Development principles effectively;
Care about privacy by design, security, testing, high-performance systems, and mentoring others, and have an inclination towards clear communication, inclusion and visibility.