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Affinidi Group

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3.7

based on 8 Reviews

10 Affinidi Group Jobs

Engineering Manager, Data & Analytics

Affinidi Group

3.7

based on 8 Reviews

10-12 years

Bangalore / Bengaluru

1 vacancy

Engineering Manager, Data & Analytics

Affinidi Group

posted 5mon ago

Job Role Insights

Fixed timing

Key skills for the job

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

+ 3 more

Job Description

We are in search of a self-motivated, solution-oriented and experienced Engineering Manager, Data & Analytics to join our Affinidi Elements team. In this role, you will work with global peers on teams dedicated to areas of the product portfolio, from the product, design, infrastructure, architecture, and back/front-end engineering teams. You will be responsible for leading continued enhancement and development of a multi-component platform, where your expert skills in designing, architecting, and building quality systems will intersect with your leadership skills of building high performing team culture and growing your team members.

Our work culture at Affinidi is shaped by the following tenets:

We are unapologetically customer-focused
We invest in cultures and teams to enable high performance
We embrace experimentation and build fast
We have the courage to be misunderstood
We work together to unlock data

What s in it for you:

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) 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.

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 patterns.
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;
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;
Have expertise in cloud computing and native environments (AWS serverless preferred);
Understand design patterns and have working experience in leading development and deployment of data ETLs, aggregations, orchestration in the cloud, and have a proven track-record in doing so;
Are able to 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.