5+ Analysis of algorithms Jobs in India

MANDATORY:

• Super Quality Data Architect, Data Engineering Manager / Director Profile
• Must have 12+ YOE in Data Engineering roles, with at least 2+ years in a Leadership role
• Must have 7+ YOE in hands-on Tech development with Java (Highly preferred) or Python, Node.JS, GoLang
• Must have strong experience in large data technologies, tools like HDFS, YARN, Map-Reduce, Hive, Kafka, Spark, Airflow, Presto etc.
• Strong expertise in HLD and LLD, to design scalable, maintainable data architectures.
• Must have managed a team of at least 5+ Data Engineers (Read Leadership role in CV)
• Product Companies (Prefers high-scale, data-heavy companies)

PREFERRED:

• Must be from Tier - 1 Colleges, preferred IIT
• Candidates must have spent a minimum 3 yrs in each company.
• Must have recent 4+ YOE with high-growth Product startups, and should have implemented Data Engineering systems from an early stage in the Company

ROLES & RESPONSIBILITIES:

• Lead and mentor a team of data engineers, ensuring high performance and career growth.
• Architect and optimize scalable data infrastructure, ensuring high availability and reliability.
• Drive the development and implementation of data governance frameworks and best practices.
• Work closely with cross-functional teams to define and execute a data roadmap.
• Optimize data processing workflows for performance and cost efficiency.
• Ensure data security, compliance, and quality across all data platforms.
• Foster a culture of innovation and technical excellence within the data team.

IDEAL CANDIDATE:

• 10+ years of experience in software/data engineering, with at least 3+ years in a leadership role.
• Expertise in backend development with programming languages such as Java, PHP, Python, Node.JS, GoLang, JavaScript, HTML, and CSS.
• Proficiency in SQL, Python, and Scala for data processing and analytics.
• Strong understanding of cloud platforms (AWS, GCP, or Azure) and their data services.
• Strong foundation and expertise in HLD and LLD, as well as design patterns, preferably using Spring Boot or Google Guice
• Experience in big data technologies such as Spark, Hadoop, Kafka, and distributed computing frameworks.
• Hands-on experience with data warehousing solutions such as Snowflake, Redshift, or BigQuery
• Deep knowledge of data governance, security, and compliance (GDPR, SOC2, etc.).
• Experience in NoSQL databases like Redis, Cassandra, MongoDB, and TiDB.
• Familiarity with automation and DevOps tools like Jenkins, Ansible, Docker, Kubernetes, Chef, Grafana, and ELK.
• Proven ability to drive technical strategy and align it with business objectives.
• Strong leadership, communication, and stakeholder management skills.

PREFERRED QUALIFICATIONS:

• Experience in machine learning infrastructure or MLOps is a plus.
• Exposure to real-time data processing and analytics.
• Interest in data structures, algorithm analysis and design, multicore programming, and scalable architecture.
• Prior experience in a SaaS or high-growth tech company.

Responsibilities

> Selecting features, building and optimizing classifiers using machine

> learning techniques

> Data mining using state-of-the-art methods

> Extending company’s data with third party sources of information when

> needed

> Enhancing data collection procedures to include information that is

> relevant for building analytic systems

> Processing, cleansing, and verifying the integrity of data used for

> analysis

> Doing ad-hoc analysis and presenting results in a clear manner

> Creating automated anomaly detection systems and constant tracking of

> its performance

Key Skills

> Hands-on experience of analysis tools like R, Advance Python

> Must Have Knowledge of statistical techniques and machine learning

> algorithms

> Artificial Intelligence

> Understanding of Text analysis- Natural Language processing (NLP)

> Knowledge on Google Cloud Platform

> Advanced Excel, PowerPoint skills

> Advanced communication (written and oral) and strong interpersonal

> skills

> Ability to work cross-culturally

> Good to have Deep Learning

> VBA and visualization tools like Tableau, PowerBI, Qliksense, Qlikview

> will be an added advantage

 In-depth knowledge of keyword research & ASO and ability to align SEO strategies to support ASO

- Excellent understanding of ASO best practices, as well as knowledge of app store algorithms, optimization methods and effective strategies for growing app installs

- Experience managing and handling creative assets & metadata copies for Appstore, as well as for A/B testing

- In-depth knowledge of research principles and methods and experience in analyzing data

- App Localization experience.

- Critical thinker and problem-solving skills

- Strong communication skills - both written and spoken

• a genuine interest in SEO and/or digital marketing
• evidence of a strong personal online profile, e.g. a blog, website or connections and interactions on various social media platforms
• a commitment to keeping your technical skills and knowledge up to date
• an inquisitive mind which drives you to understand Google's algorithms and predict what changes might be coming
• a good understanding of search engines
• an ability to understand social media platforms and how to use them to distribute content, gain more links and build successful campaigns
• a good understanding of PR and how to get the right messages out there
• an understanding of how customers search, where they search and why they purchase something online
• a good understanding of the wider marketing context
• strong analytical skills for understanding ranking algorithms
• excellent communication skills to educate, inform, manipulate and mediate across a number of stakeholders in an organization
• an understanding of, or experience of, HTML coding, and preferably Javascript and PHP (PHP: Hypertext Preprocessor)
• proficiency in Microsoft Office and an excellent knowledge of Excel
• some experience and knowledge of web hosting.

Responsibilities

• Build and mentor the platform team at Checko.
• Own the design, development, testing, deployment, and craftsmanship of the team’s infrastructure and systems capable of handling massive amounts of requests with high reliability and scalability
• Leverage the deep and broad technical expertise to mentor engineers and provide leadership on resolving complex technology issues
• Entrepreneurial and out-of-box thinking essential for a technology startup
• Guide the team for unit-test code for robustness, including edge cases, usability, and general reliability

Requirements

• Must have design, development, testing, deployment of systems capable of handling massive amounts of requests with high reliability and scalability
• Must have strong command in writing production-level code in Java or Python including skills in debugging, performance analysis/optimization and memory usage optimization
• Must have worked with real-time web/mobile applications and event-driven architectures
• Must have experience working with relational and non-relational databases and understanding their data models and performance tradeoffs.
• Must have solid engineering principles and a clear understanding of data structures and algorithms
• Should have knowledge of service-oriented architecture, caching techniques, micro-services, and distributed systems
• Should have basic understanding of C++/reactJS/Angular/Node

Desired Skills and Experience

Algorithms, debugging, performance optimization on low-end processors, data structures, REST, service-oriented architecture.