1733 Infosys jobs in Chennai

Key Responsibilities:

• Design, develop, and optimize relational database structures (SQL Server).
• Create and maintain stored procedures, functions, views, and triggers for efficient database operations.
• Work with large datasets and ensure smooth functioning in production environments.
• Implement and maintain database security, backup, replication, and high availability strategies.
• Collaborate with application and business teams to translate requirements into robust database solutions.
• Perform performance tuning, query optimization, and troubleshooting.
• Ensure best practices in data modeling, normalization, and denormalization.

Required Skills & Qualifications:

• 58 years of proven experience in RDBMS development (preferably SQL Server).
• Strong knowledge of database design, data modeling, and query optimization.
• Expertise in T-SQL, including stored procedures, triggers, views, and functions.
• Hands-on experience with large-scale production datasets and high-performance systems.
• Solid understanding of database security, backup, recovery, replication, and high availability.
• Strong analytical and problem-solving skills with attention to detail.
• Ability to work collaboratively in cross-functional teams.

• Work with stakeholders from compliance, operations, and IT to gather and translate requirements into functional specifications.
• Analyze and design enhancements to existing compliance monitoring systems.
• Provide support and maintenance for compliance platforms, with a focus on performance, scalability, and accuracy.
• Collaborate with vendors, internal developers, and QA teams to implement solutions.
• Support data mapping, interface design, and configuration of workflows and rules.
• Participate in system upgrades, integration efforts, and user acceptance testing.
• Ensure solutions meet regulatory compliance standards and internal audit requirements.

Requirements

• At least 6 years of experience as a System Analyst, preferably within the banking or financial services industry.
• Experience working with compliance or surveillance systems (e.g., Actimize, FIRCOSOFT, Mantas, Norkom, or similar platforms).
• Strong understanding of anti-money laundering (AML), fraud detection, or regulatory reporting domains.
• Solid experience in SQL, data analysis, and large-scale system implementations.
• Excellent communication and stakeholder engagement skills.
• Prior experience working in Agile/Scrum environments is a plus.

Role Overview:

A leading bank in the UAE is seeking an experienced Confluent Change Data Capture (CDC) System Analyst/ Tech lead to implement real-time data streaming solutions. The role involves implementing robust CDC frameworks using Confluent Kafka , ensuring seamless data integration between core banking systems and analytics platforms. The ideal candidate will have deep expertise in event-driven architectures, CDC technologies, and cloud-based data solutions .

Key Responsibilities:

• Implement Confluent Kafka-based CDC solutions to support real-time data movement across banking systems.
• Implement event-driven and microservices-based data solutions for enhanced scalability, resilience, and performance .
• Integrate CDC pipelines with core banking applications, databases, and enterprise systems .
• Ensure data consistency, integrity, and security , adhering to banking compliance standards (e.g., GDPR, PCI-DSS).
• Lead the adoption of Kafka Connect, Kafka Streams, and Schema Registry for real-time data processing.
• Optimize data replication, transformation, and enrichment using CDC tools like Debezium, GoldenGate, or Qlik Replicate .
• Collaborate with Infra team, data engineers, DevOps teams, and business stakeholders to align data streaming capabilities with business objectives.
• Provide technical leadership in troubleshooting, performance tuning, and capacity planning for CDC architectures.
• Stay updated with emerging technologies and drive innovation in real-time banking data solutions .

Required Skills & Qualifications:

• Extensive experience in Confluent Kafka and Change Data Capture (CDC) solutions .
• Strong expertise in Kafka Connect, Kafka Streams, and Schema Registry .
• Hands-on experience with CDC tools such as Debezium, Oracle GoldenGate, or Qlik Replicate .
• Hands on experience on IBM Analytics
• Solid understanding of core banking systems, transactional databases, and financial data flows .
• Knowledge of cloud-based Kafka implementations (AWS MSK, Azure Event Hubs, or Confluent Cloud) .
• Proficiency in SQL and NoSQL databases (e.g., Oracle, MySQL, PostgreSQL, MongoDB) with CDC configurations.
• Strong experience in event-driven architectures, microservices, and API integrations .
• Familiarity with security protocols, compliance, and data governance in banking environments.
• Excellent problem-solving, leadership, and stakeholder communication skills .

Comcast brings together the best in media and technology. We drive innovation to create the world's best entertainment and online experiences. As a Fortune 50 leader, we set the pace in a variety of innovative and fascinating businesses and create career opportunities across a wide range of locations and disciplines. We are at the forefront of change and move at an amazing pace, thanks to our remarkable people, who bring cutting-edge products and services to life for millions of customers every day. If you share in our passion for teamwork, our vision to revolutionize industries and our goal to lead the future in media and technology, we want you to fast-forward your career at Comcast.

Job Summary

Responsible for planning and designing new software and web applications. Analyzes, tests and assists with the integration of new applications. Documents all development activity. Assists with training non-technical personnel. Has in-depth experience, knowledge and skills in own discipline. Usually determines own work priorities. Acts as a resource for colleagues with less experience.

Job Description

About the Role:

We are seeking an experienced Sr. System Analyst to join our growing Global Operational Intelligence team. You will play a key role in building intelligent systems that help reduce alert noise, detect anomalies, correlate events, and proactively surface operational insights across our large-scale streaming infrastructure.

You'll work at the intersection of machine learning, artificial intelligence, observability, and IT operations, collaborating closely with Platform Engineers, SREs, Incident Managers, Operators and Developers to integrate smart detection and decision logic directly into our operational workflows.

This role offers a unique opportunity to push the boundaries of AI/ML in large-scale operations. We welcome futuristic and innovative mindsets who want to stay ahead of the curve, bring innovative ideas to life, and improve the reliability of streaming infrastructure that powers millions of users globally.

What You'll Do:

• Analyze, Design and tune machine learning models for big data processing through a multitude of system analysis methods aligning with our design patterns in a cloud environment (AWS, Google, Azure)

• System Testing and Quality Assurance with oversight of quality engineering

• Apply NLP and ML techniques to classify and structure logs and unstructured alert messages

• Develop and maintain real-time and batch data pipelines to process alerts, metrics, traces, and logs

• Use Python, SQL, and time-series query languages (e.g., PromQL) to manipulate and analyze operational data

• Collaborate with engineering teams to deploy models via API integrations, automate workflows, and ensure production readiness

• Contribute to the development of self-healing automation, diagnostics, and ML-powered decision triggers

• Design and validate entropy-based prioritization models to reduce alert fatigue and elevate critical signals

• Conduct A/B testing, offline validation, and live performance monitoring of ML models

• Build and share clear dashboards, visualizations, and reporting views to support SREs, engineers, and leadership

• Research and diagnose complex application problems and identifying system improvements in an enterprise environment.

• Testing the system on a regular basis to ensure quality and function while, writing instruction manuals for the systems

• Collaborate on the design of hybrid ML/AI + rule-based systems to support dynamic correlation and intelligent alert grouping

• Document business process and change algorithms for continuous improvements for assessing complexity in patterns

• Preparing cost benefit analysis on systems platform, and feature and the value chain attributed to the deployed feature and providing recommendations on features that are not used.

• Demonstrate a proactive, solution-oriented mindset with the ability to navigate ambiguity and learn quickly

• Participate in on-call rotations and provide operational support as needed

Qualifications:

• Bachelor's or Master's degree in Computer Science, Data Science, Machine Learning, Statistics or a related field

• 5+ years of experience building and deploying ML solutions in production environments

• 2+ years working with AIOps, observability, or real-time operations data

• Strong coding skills in Python (including pandas, NumPy, Scikit-learn, PyTorch, or TensorFlow)

• Experience working with SQL, time-series query languages (e.g., PromQL), and data transformation in pandas or Spark

• Familiarity with LLMs, prompt engineering fundamentals, or embedding-based retrieval (e.g., sentence-transformers, vector DBs)

• Strong grasp of modern ML techniques including gradient boosting (XGBoost/LightGBM), autoencoders, clustering (e.g., HDBSCAN), and anomaly detection

• Experience managing structured + unstructured data, and building features from logs, alerts, metrics, and traces

• Familiarity with real-time event processing using tools like Kafka, Kinesis, or Flink

• Strong understanding of model evaluation techniques including precision/recall trade-offs, ROC, AUC, calibration

• Comfortable working with relational (PostgreSQL), NoSQL (MongoDB), and time-series (InfluxDB, Prometheus) databases, GraphDB

• Ability to collaborate effectively with SREs, platform teams, and participate in Agile/DevOps workflows

• Clear written and verbal communication skills to present findings to technical and non-technical stakeholders

• Comfortable working across Git, Confluence, JIRA, & collaborative agile environments

Nice to Have:

• Experience building or contributing to the AIOps platform (e.g., Moogsoft, BigPanda, Datadog, Aisera, Dynatrace, BMC etc.)

• Experience working in streaming media, OTT platforms, or large-scale consumer services

• Exposure to Infrastructure as Code (Terraform, Pulumi) and modern cloud-native tooling

• Working experience with Conviva, Touchstream, Harmonic, New Relic, Prometheus, & event-based alerting tools

• Hands-on experience with LLMs in operational contexts (e.g., classification of alert text, log summarization, retrieval-augmented generation)

• Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate) and embeddings-based search for observability data

• Experience using MLflow, SageMaker, or Airflow for ML workflow orchestration

• Knowledge of LangChain, Haystack, RAG pipelines, or prompt templating libraries

• Exposure to MLOps practices (e.g., model monitoring, drift detection, explainability tools like SHAP or LIME)

• Experience with containerized model deployment using Docker or Kubernetes

• Use of JAX, Hugging Face Transformers, or LLaMA/Claude/Command-R models in experimentation

• Experience designing APIs in Python or Go to expose models as services and/or GraphQL

• Cloud proficiency in AWS/GCP, especially for distributed training, storage, or batch inferencing

• Contributions to open-source ML or DevOps communities, or participation in AIOps research/benchmarking efforts

• Certifications in cloud architecture, ML engineering, or data science specializations

Comcast is an equal opportunity workplace. We will consider all qualified applicants for employment without regard to race, color, religion, age, sex, sexual orientation, gender identity, national origin, disability, veteran status, genetic information, or any other basis protected by applicable law.

Base pay is one part of the Total Rewards that Comcast provides to compensate and recognize employees for their work. Most sales positions are eligible for a Commission under the terms of an applicable plan, while most non-sales positions are eligible for a Bonus. Additionally, Comcast provides best-in-class Benefits to eligible employees. We believe that benefits should connect you to the support you need when it matters most, and should help you care for those who matter most. That's why we provide an array of options, expert guidance and always-on tools, that are personalized to meet the needs of your reality – to help support you physically, financially and emotionally through the big milestones and in your everyday life. Please visit the compensation and benefits summary on our careers site for more details.

Education

Bachelor's Degree

While possessing the stated degree is preferred, Comcast also may consider applicants who hold some combination of coursework and experience, or who have extensive related professional experience.

Relevant Work Experience

5-7 Years

Exp: 6yrs – 12yrs

Location: Chennai

NP: Immediate joiner

Key Skill :SQL expertise,Banking domain knowledge,Datawarehouse,Data analysis, Data mapping,risk and regulatory,ETL/Informatica

Secondary skill: SAS,Pyspark,Jira / Kanban

Responsiblities

• Work with technology partners (e.g. Solution Designers and Architects) to research and analyze current state system capabilities and define technology solutions options and recommendations.
• Define, document and translate business requirements in datawarehouse environment into detailed functional specifications
• Engaged in business and data requirements to develop complete business solutions
• Work on Source to target mapping sheet (IDC- Incoming Data Collection Sheet) Requirements Analysis and Collaboration with Downstream Stakeholders Familiar with HLR / DLR (High Level Requirements / Detailed Level Requirements) documents Testing

Job Location:
Chennai

Apply for this position

Full Name *

Email *

Phone *

Cover Letter *

Upload CV/Resume *Allowed Type(s): .pdf, .doc, .docx

By using this form you agree with the storage and handling of your data by this website. *

Candidates with MAWM experience are preferred.

This will be a full time opportunity based off Chennai