
- KSQL
- Data Engineering spectrum (Java/Spark)
- Spark Scala / Kafka Streaming
- Confluent Kafka components
- Basic understanding of Hadoop

About iLink Systems
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Role: Digital Marketing Executive
Experience: 0-1 years (Freshers are Most Welcome)
Location: Ambattur, Chennai
Responsibilities:
● Assist in the execution and monitoring of digital marketing campaigns across various channels, including social media, email marketing, search engine marketing (SEM), search engine optimization (SEO), and content marketing.
● Help create engaging and persuasive content for digital platforms, including website copy, blog posts, social media updates, and email newsletters.
● Support the management and optimization of website content to improve search engine rankings, user experience, and conversion rates.
● Collaborate with the digital marketing team to develop and implement strategies for social media management, including content creation, scheduling, and community engagement.
● Conduct market research to identify target audiences, competitors, and industry trends to optimize marketing campaigns.
● Assist in monitoring and analyzing key performance indicators (KPIs) to measure the effectiveness of digital marketing efforts and contribute to regular reports and insights.
● Stay updated with the latest digital marketing trends, tools, and best practices, and contribute innovative ideas to enhance campaign performance.
● Assist in coordinating digital marketing projects and campaigns, ensuring timely execution and adherence to budget and objectives.
● Provide support in managing relationships with external partners, such as agencies, vendors, and influencers, to support marketing initiatives and leverage their expertise.
● Assist in monitoring competitor activities and industry trends to identify opportunities for differentiation and competitive advantage.
● Collaborate with cross-functional teams, such as design, sales, and product development, to ensure marketing efforts align with overall business objectives.
● Keep track of industry news and developments related to digital marketing and provide regular updates to the team.
Business Function
Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.
Job Purpose
- This is to manage risks for LOBTs acting as Line 1 risk manager
Key Accountabilities
- Assist Line of Business Technology in managing technology and operational risks
- Drive and ensure regulatory compliance for the LOBT
- Liaise and co-ordinate audit activities involving the LOBT
- Issue & Action management for LOBT including is impacted (across external and internal audits and reviews and excluding IT Information Security) and action planning.
- Engagement across Technology verticals, Operations, Business, Compliance to prioritize, plan, act, prove, close all open findings within committed timelines.
- Scan regulatory requirements, circulars to ensure forward planning and execution for compliance. This includes Singapore and India regulatory requirements.
- Prepare, maintain and conduct control testing for units Risk Control Self Assessments (RCSAs)
- Outsourcing Risk assessment for the LOBT
- Monitor risk issues and incidents for LOBT
Job Duties & Responsibilities
- Liaise with stakeholders within and outside bank, including at Group level to have a comprehensive view of all Technology Risks.
- Engage with Technology verticals and others as appropriate within bank to progress on closure of all open points.
- Engage with Compliance, understand the regulatory requirements at country and group level, and add these to the action points which Technology must ensure.
- Early identification of execution challenges in risk mitigation actions and being an effective catalyst with Technology teams and seniors to resolve bottlenecks such as cost or resource approvals, conflicting priorities.
- Risk assessment for LOBT covering partners, external environment and identify potential risks such as relating to scale-preparedness, DR & BCP support for the organization, code quality in terms of testing and deployment governance.
- Regular updates as per agreed rhythm, and fronting dialogues with stakeholders/LOBT, to highlight process on Risk Management and Risk Mitigation.
- Liaise with relevant departments to ensure awareness of Technology Risk within the Banking India Technology Team, and partner for this awareness across India.
- Liase with Line of Business Risk in the region and co-ordinate efforts for the LOBT landscape used by India.
Job Description
Key Responsibilities:
- Design, develop, test, and deploy high-quality backend solutions using Java and Spring Boot.
- Build and maintain scalable microservices that interact with various data sources and front-end applications.
- Develop RESTful APIs for internal and external consumption.
- Write clean, maintainable, and efficient code following best practices and coding standards.
- Collaborate with cross-functional teams including front-end developers, QA, and DevOps.
- Troubleshoot and resolve technical issues across environments.
- Participate in code reviews, unit testing, and integration testing.
- Ensure application performance, uptime, and scale by identifying and resolving bottlenecks.
Required Skills & Qualifications:
- Strong proficiency in Java (8 or higher).
- Hands-on experience with Spring Boot framework.
- Experience in developing RESTful APIs and understanding of HTTP protocols.
- Solid understanding of Microservices architecture and related patterns (e.g., service discovery, circuit breaker).
- Familiarity with relational and NoSQL databases (e.g., MySQL, PostgreSQL, MongoDB).
- Understanding of containerization tools (e.g., Docker) and orchestration tools (e.g., Kubernetes) is a plus.
- Knowledge of CI/CD pipelines and version control tools like Git.
- Excellent problem-solving skills and attention to detail.
- Good communication and teamwork skills.
Preferred Qualifications:
- Experience with cloud platforms such as AWS, Azure, or GCP.
- Familiarity with message brokers like Kafka or RabbitMQ.
- Exposure to Agile/Scrum development methodologies.
5-7 years of experience in Data Engineering with solid experience in design, development and implementation of end-to-end data ingestion and data processing system in AWS platform.
2-3 years of experience in AWS Glue, Lambda, Appflow, EventBridge, Python, PySpark, Lake House, S3, Redshift, Postgres, API Gateway, CloudFormation, Kinesis, Athena, KMS, IAM.
Experience in modern data architecture, Lake House, Enterprise Data Lake, Data Warehouse, API interfaces, solution patterns, standards and optimizing data ingestion.
Experience in build of data pipelines from source systems like SAP Concur, Veeva Vault, Azure Cost, various social media platforms or similar source systems.
Expertise in analyzing source data and designing a robust and scalable data ingestion framework and pipelines adhering to client Enterprise Data Architecture guidelines.
Proficient in design and development of solutions for real-time (or near real time) stream data processing as well as batch processing on the AWS platform.
Work closely with business analysts, data architects, data engineers, and data analysts to ensure that the data ingestion solutions meet the needs of the business.
Troubleshoot and provide support for issues related to data quality and data ingestion solutions. This may involve debugging data pipeline processes, optimizing queries, or troubleshooting application performance issues.
Experience in working in Agile/Scrum methodologies, CI/CD tools and practices, coding standards, code reviews, source management (GITHUB), JIRA, JIRA Xray and Confluence.
Experience or exposure to design and development using Full Stack tools.
Strong analytical and problem-solving skills, excellent communication (written and oral), and interpersonal skills.
Bachelor's or master's degree in computer science or related field.
cutting-edge technology to problems that have never been solved before, working with architecture and
product teams to collaboratively visualize, design and create machine learning models for M3LD- the
world’s first privacy platform that helps users get control of their data and enterprises to establish trustbased relationships.
KEY ACCOUNTABILITIES & ACTIVITIES
AI-ML Software
Engineer
Accountabilities
& Activities
▪ Study and transform data science prototypes
▪ Design machine learning systems
▪ Research and implement appropriate ML algorithms and tools
▪ Develop machine learning applications according to requirements
▪ Select appropriate datasets and data representation methods
▪ Run machine learning tests and experiments
▪ Perform statistical analysis and fine-tuning using test results
▪ Train and retrain systems when necessary
▪ Extend existing ML libraries and frameworks
▪ Keep abreast of developments in the field
BACKGROUND, SKILLS & QUALIFICATIONS
Knowledge,
Skills and
Experience
▪ Ability and passion to deliver extraordinary results with minimal direction
▪ Collaborating with teams to dissect complex problems and design solutions tailored to M3LD
needs
▪ Expertise in big data processing, data pipeline, machine learning, and AI processing methods.
▪ Proficiency in programming languages - e.g. Python, Java, C++, Ruby.
▪ Track-record of shipping and maintaining code in production with a commitment to high quality,
well-tested code, and automation
▪ Experience with object-oriented design, multi-threading, and synchronisation
▪ Experience with ML frameworks and libraries (Spark, tensor, OpenAI)
▪ Ability to optimize runtime with performant data structures, leveraging distributed systems and/or
cloud platforms
▪ Excellent written skills and ability to document system design documentations.
▪ Experience working in “agile” development environment and collaboration tools like Jira,
Confluence, etc.
▪ Ability to communicate effectively with cross project stakeholders both verbally and in writing
▪ Ability to collaborate with distributed teams across time zones
Qualifications ▪ 5+ years of relevant work experience in enterprise, mobile and complex solution development,
and software engineering
▪ Strong computer science fundamentals required
▪ Experience with deep learning frameworks.
▪ Strong experience in programming and statistics.
▪ Experience working with DevOps practices, Git version control, and agile development
approaches.
▪ Experience developing for major cloud platforms, including Azure, AWS, Google Cloud, and
Oracle Cloud Infrastructure is preferred.
Your responsibilities as a backend engineer will include:
- Back-end software development
- Software engineering and designing data models and write effective APIs
- Working together with engineers and product teams
- Understanding business use cases and requirements for different internal teams
- Maintenance of existing projects and New feature development
- Consume and integrate classifier/ ML snippets from Data science team
What we are looking for:
- 4+ years of industry experience with the Python and Django framework.
- Degree in Computer Science or related field
- Good analytical skills with strong fundamentals of data structures and algorithms
- Experience building backend services with hands-on experience through all stages of Agile software development life cycle.
- Ability to write optimized codes,debug programs, and integrate applications with third party tools by developing various APIs
- Experience with Databases (Relational and Non-Relational). Ex: Cassandra, MongoDB, Postgresql
- Experience with writing REST-APIs.
- Prototyping initial collection and leveraging existing tools and/or creating new tools
- Experience working different types of datasets (e.g. unstructured, semi-structured, with missing information)
- Ability to think critically and creatively in a dynamic environment, while picking up new tools and domain knowledge along the way
- A positive attitude, and a growth mindset
Bonus:
- Experience with relevant Python libraries such as Sklearn, NLTK, tensorflow, HuggingFace Transformers
- Hands on experience in Machine learning implementations
- Experience with Cloud infrastructure (e.g. AWS) and relevant microservices
- Good with Humor and Team player
Required Skills:
Unity 3D, C#, Knowledge of Android and iOS build system, VR, AR, Multiplayer with Photon and Custom server
Ensure software is updated with latest features
We are looking for a skilled and solutions-oriented Brand Strategist with a strong analytical mind to craft compelling brand stories and strategies that deliver results. The Brand Strategist's responsibilities include conducting extensive research, analyzing findings, making recommendations, presenting to clients and briefing creatives. You should be a strategic thinker with a knack for uncovering consumer insights that inform strategy development.
The ideal candidate should be open-minded and passionate about creating holistic brand experiences. Ultimately, the outstanding Brand Strategist should have strong research skills, an analytical mindset and be an excellent storyteller.
Brand Strategist Responsibilities:
- Conducting extensive primary and secondary research.
- Staying up-to-date on consumer research and market trends.
- Analyzing research, data and trends.
- Creating competitive reviews and situational analyses.
- Identifying insights, challenges and opportunities.
- Developing brand architecture, positioning and strategy.
- Writing compelling brand stories.
- Meeting and presenting to clients.
- Briefing and collaborating with creative teams.
- Leading ideation and brainstorming sessions.
Brand Strategist Requirements:
- Degree in business, marketing, branding, communication or related field required.
- Previous experience as a brand strategist or similar role.
- Excellent communication skills, both verbal and written.
- Experience leading client meetings.
- Analytical and problem-solving mindset.
- Creative and compelling storyteller.
- Strong research skills.
- Strategic thinker.
- Excellent presentation skills.
Conviva is the leader in streaming media intelligence, powered by its real-time platform. More than 250 industry leaders and brands – including CBS, CCTV, Cirque Du Soleil, DAZN, Disney+, HBO, Hulu, Sky, Sling TV, TED, Univision, and Warner Media – rely on Conviva to maximize their consumer engagement, deliver the quality experiences viewers expect and drive revenue growth. With a global footprint of more than 500 million unique viewers watching 150 billion streams per year across 3 billion applications streaming on devices, Conviva offers streaming providers unmatched scale for continuous video measurement, intelligence and benchmarking across every stream, every screen, every second. Conviva is privately held and headquartered in Silicon Valley, California, with offices around the world. For more information, please visit us at www.conviva.com.
What you get to do:
Be a thought leader. As one of the senior most technical minds in the India centre, influence our technical evolution journey by pushing the boundaries of possibilities by testing forwarding looking ideas and demonstrating its value.
Be a technical leader: Demonstrate pragmatic skills of translating requirements into technical design.
Be an influencer. Understand challenges and collaborate across executives and stakeholders in a geographically distributed environment to influence them.
Be a technical mentor. Build respect within team. Mentor senior engineers technically and
contribute to the growth of talent in the India centre.
Be a customer advocate. Be empathetic to customer and domain by resolving ambiguity efficiently with the customer in mind.
Be a transformation agent. Passionately champion engineering best practices and sharing across teams.
Be hands-on. Participate regularly in code and design reviews, drive technical prototypes and actively contribute to resolving difficult production issues.
What you bring to the role:
Thrive in a start-up environment and has a platform mindset.
Excellent communicator. Demonstrated ability to succinctly communicate and describe complexvtechnical designs and technology choices both to executives and developers.
Expert in Scala coding. JVM based stack is a bonus.
Expert in big data technologies like Druid, Spark, Hadoop, Flink (or Akka) & Kafka.
Passionate about one or more engineering best practices that influence design, quality of code or developer efficiency.
Familiar with building distributed applications using webservices and RESTful APIs.
Familiarity in building SaaS platforms on either in-house data centres or public cloud providers.
Spark / Scala experience should be more than 2 years.
Combination with Java & Scala is fine or we are even fine with Big Data Developer with strong Core Java Concepts. - Scala / Spark Developer.
Strong proficiency Scala on Spark (Hadoop) - Scala + Java is also preferred
Complete SDLC process and Agile Methodology (Scrum)
Version control / Git










