Data Engineer

Top college graduate with experience as Ex-Founder's Office / Ex-founder/ Ex-product manager/ Ex-Sales/ EX-Customer Success profile

Mandatory (Experience 1): Must have minimum 4+ years of experience in any of role (Ex-Founder's Office / Ex-founder/ Ex-product manager/ Ex-Sales/ Ex-Customer success) profile

Mandatory (Experience 2): Must have strategic thinking and good communication skills

Mandatory (Experience 3): Must have worked in startup or operator-style environments — demonstrating hands-on problem solving, building processes from scratch, and driving measurable outcomes across cross-functional teams

Mandatory (Graduation): Only IIT candidates from these IIT only (Kharagpur, Mumbai, Madras, Kanpur, Delhi, Roorkee, Guwahati)

Mandatory (Graduation year): 2016 onwards

We are looking for a Search Engine Optimisation Executive that is interested in working for our company.

Responsibilities

Implementing and developing SEO strategies.

Performing keyword research for content.

Collaborating with the Digital Marketing team.

Improving website performance

Staying up to date with the latest Google Algorithm changes.

Requirements

Good verbal and written communication skills

Ability to work independently or in a team environment as and when required.

Excellent time management skills.

Strong work ethic

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Author data services using a variety of programming languages
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and Azure ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and Azure regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.
• Work in an Agile environment with Scrum teams.
• Ensure data quality and help in achieving data governance.

• 2+ years of experience in a Data Engineer role
• Undergraduate degree required (Graduate degree preferred) in Computer Science, Statistics, Informatics, Information Systems or another quantitative field.
• Experience using the following software/tools:
  • Experience with big data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases
  • Experience with data pipeline and workflow management tools
  • Experience with Azure cloud services: ADLS, ADF, ADLA, AAS
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.

Advertising at our client is a fast-growing multi-billion dollar business that spans across desktop, mobile and connected devices; encompasses ads on our clients portal and a vast network of hundreds of thousands of third party publishers; and extends across US, EU and an increasing number of international geographies.The Supply Quality organization in Bangalore has the charter to solve optimization problems for ad programs to ensure high-quality ad-impressions. We develop advanced algorithms and systems to optimize performance for our advertisers and publishers. We are focused on solving a wide variety of problems in computational advertising like traffic quality prediction (robot and fraud detection), Security forensics and research, Viewability prediction, Brand Safety and experimentation. Our team includes experts in the areas of distributed computing, machine learning, statistics, optimization, text mining, information theory and big data systems.

The Supply Quality infrastructure(SQI) team builds large-scale real-time transactional solutions, batch and stream processing systems, internet scale crawling solutions and storage infrastructure. We process bid requests in the orders of tens of billions per day with our real-time, batch and stream processing systems. To handle data at this scale, we use cutting-edge open source technologies like Hadoop, Spark, Redis etc.. We are not tied to one technology. Instead, we use what is best suited for the purpose. All of our systems tend to be loosely coupled, communicating using synchronous and asynchronous messaging, leading to a classic distributed processing architecture. All our systems need to also implement complex machine learning and optimization algorithms at scale. 

We are looking for a talented Engineering Manager to lead a new big-data engineering initiative within SQI. The team will own building highly available, efficient and low latency internet scale infrastructure including web-scale crawler, contextual processing and classification systems that will be used across multiple advertising use cases. As a leader of the team, you will be responsible to evolve the charter of the team, work with stakeholders to set goals and deliver them. To succeed, you need to demonstrate sound technical acumen, excellent project management skills, great communication skills, and hire, build, and develop your team. You will be responsible for fostering a culture of engineering excelllence towards delivering cutting-edge solutions that materially improve customer experience.


Primary responsibilities:

• Provide technical expertise and leadership throughout product life cycles, influence software engineers best practices for your team and own operational metrics
• Work with business leaders and product managers to define product requirements.
• Prioritize, communicate, maintain, and execute roadmaps, project plans, and commitments
• Work with engineers to define technical requirements and architect and execute best-in-class implementations in agile manner
• Build and maintain world-class customer experience and operational excellence for your deliverables
• Hire, manage, mentor and grow a high performance team of Software Engineers

Location: MBFC / Command Center, Changi Business Park, Singapore

Duration: 12 Months Renewable Contract

Description

• We are looking for highly motivated and experienced individuals to join our client as Application/Production Support Analyst supporting banking systems and applications.

Mandatory Skill(s)

• Degree in Computer Science, Business Information Technology or related disciplines;
• 3-5 years of experience providing support to business systems and applications in banking or financial service sectors;
• Possesses good knowledge on Site Reliability Engineering best practices and experience adhering to Site Reliability Engineering guidelines in the work;
• Able to troubleshoot and provide solutions for technical issues and routes to appropriate escalation groups;
• Good analytical skills with excellent communication; 
• Good in understanding internal processes and resolving issues;
• Should have keen interest in providing high service quality and familiar with the demand of a 24×7 support environment.

Desirable Skill(s)

• Prior experience in the banking industry;
• Experience in application implementation projects in financial institutions would be a great advantage.

Responsibilities

• Perform work in rotational shifts to provide 24/7 on-site or on-call support;
• Responsible for health-check, continuous L1 and L2 support and rectification for mission critical Web-based applications; 
• Responsible for the day-to-day maintenance of the application systems in operation;
• Handle Incident and Problem management;
• Work closely with key stakeholders, including management, development teams, end users, and unit leaders and communicate application problems and issues;
• Provide root cause analysis techniques to determine cause and resolve complex system issues or escalate to application managers and the management team;
• Involve with onsite and offshore teams across multiple technologies/applications;
• Lead formal and informal Post Event Problem Reviews;
• Actively involved in Continuous improvement of the system such as removal of TOIL, job automation, performance, tuning;
• Proactive management of production services by measuring and monitoring availability, latency, throughput, user journeys and overall system health.