Data Modeling Job Vacancies in Chennai

We are looking for a highly analytical Lead Process Engineer to drive operational excellence and process transformation within lending operations. The role involves leveraging advanced statistical methods, process intelligence, and AI-assisted tools to improve efficiency, reduce variation, and enable scalable business operations. This position also includes mentoring junior team members while collaborating with cross-functional stakeholders.Key Responsibilities:Lead end-to-end process improvement initiatives using DMAIC methodologyApply statistical analysis, DoE, and SPC techniques to enhance process performanceDesign and optimize operational workflows across lending value streamsBuild and maintain process intelligence dashboards for real-time insightsConduct FMEA-based risk assessments and implement mitigation strategiesDrive AI-assisted process improvements using GenAI tools and automation frameworksPerform capacity forecasting and time series modeling for scaling operationsCollaborate with Product, Data, and Operations teams for transformation initiativesPresent ROI-driven insights and business cases to senior stakeholdersMentor and develop Process Analysts and Junior EngineersRequired Skills & Qualifications:7-9 years of experience in process engineering, quality engineering, or operations improvementStrong expertise in Lean Six Sigma methodologies (DMAIC execution experience mandatory)Hands-on experience in statistical tools: DoE, SPC, regression, hypothesis testingExperience with process mining / intelligence tools (Power BI, Celonis, etc.)Proven experience in FMEA and risk assessment frameworksStrong capability in capacity planning and time series forecastingExposure to AI/GenAI tools in operational environmentsProficiency in Excel (advanced), Python or Minitab, and data visualization toolsStrong stakeholder management and communication skills

Job Title:Data ArchitectTeam:Data Platform, Application & DataReports to:Engineering Manager Data Platform, Application & DataLocation:Chennai, HybridMinimum Education:Bachelors Degree or Equivalent ExperienceRecommended Tenure:7+ years in data platform engineering or architecture roles(including 3+ years in a hands-on architecture role)Role Summary:TheData Architectwill design, implement, and manage scalable, reliable, and secure dataarchitectures that power analytics, integrations, and real-time processing across theorganization. As part of theData Platform team, this role collaborates closely withSolutionArchitects, Data Engineers, and cross-functional stakeholdersto ensure that data modelsand systems are aligned with business needs and enterprise architecture standards.Key Responsibilities:Architecture & Design: Translate business and technical requirements into well-defineddata models andarchitecture specifications. Design and documentlogical and physical data models,data flow diagrams,andintegration patterns. Align data architecture withapplication design and system interaction patternsincollaboration with Solution Architects. Establish and maintainbest practices and design standardsfor relational, NoSQL,and streaming data solutions.Solution Delivery & Support: Act as ahands-on architecture leadduring discovery, planning, and delivery phasesof data projects. Guide data engineers in implementing solutions consistent with architectureprinciples and project requirements. Conductdesign and code reviewsto ensure solution quality, scalability, andcompliance. Drive platform evolution by defining and enforcingreusable, modular, and scalablearchitecture practices.Data Governance & Quality: Define and enforcebest practices for data modeling, data security, andperformance tuning. Maintain consistency inmetadata, naming conventions, and data accessstandardsacross environments. Supportdata privacy, classification, and auditabilityrequirements across integratedsystems.Cross-Functional Collaboration: Partner withProduct Managers, Engineering Leads, DevOps, and Analytics teamstodeliver end-to-end data solutions. Collaborate withSolution Architectsto ensure cohesive design and delivery acrossapplication and data domains. Serve as asubject matter experton data structures, semantics, and lifecyclemanagement across key business areas.Key Competencies & Skills: Experience:7+ years in data engineering or data architecture roles, with at least 3years in an architecture-focused position. Cloud Platforms:Proven expertise inGCPand/orAzure, with deep understanding ofnative data services. Data Technologies:Strong understanding ofrelational, NoSQL, and object storageparadigms. Databases:Hands-on experience withOracleandPostgreSQL; proficiencyinPythonpreferred. DevOps for Data:Familiarity withinfrastructure-as-code (IaC)andCI/CDpipelinesfor data engineering. Soft Skills:Excellent communication and stakeholder management skills, with theability tolead through influence. Work Ethic:Self-motivated, organized, and capable of managing multiple initiativessimultaneously.

Key Responsibility Area: ( Specifies Key Result Areas for the Incumbent )o Overall responsibility for servicing clients on Analytics/Advisory and managing the analytics team.o Hands on advanced knowledge of analytical techniques, advanced knowledge of SQL or otherstructured language, advanced knowledge of Excel.o Design and develop analytics products and services.o Works closely with the Client(s) on scorecards, advisory and modeling.o Develop models and use analytics for refined data capturing and analysis.o Provide leadership to the analytics team and assist the leadership to deliver results, business goalsand commitments.o Financial Services/ Consumer banking business(preferred) - with extensive analytics orientation.o Work on processes to continuously update rules/procedures to optimize results & manage day-to-day activities with the team.o Support various special project assignments.Eligibility Criteria: (Skill set required to do the job- Knowledge, Tools, Technical Knowledge, Certifications etc.)o Proven track record with database languages (e.g., SQL) and statistical software (e.g., R, Python), and visualization tools (e.g., Tableau, PowerBI, QlikView).o Well versed with MS Excel advanced & VBA.o Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications.o Good to have conceptual or working knowledge of Machine Learning & AI, cloud platforms (e.g. AWS, GCP, Azure)

Responsibilities & Duties: Break complex domain specific problems down to its simple parts, uncover the logical interrelationships between them and infer or discover new requirements from existing facts Design detailed algorithms & solutions and write implementable specifications to build Steerwise software platform Develop test scenarios, test cases & test data for all the combinations & permutations that are comprehensive & complete reflecting the actual operational aspects of Steerwise software platformBuild efficient, reusable & reliable Steerwise software platform specific service components & algorithms according to specifications; Integrate software components & thirdparty programs, tools, & platforms Adopt & execute leanagile, behaviordriven, & testdriven development methods Write unit, integration, & system test code and test data for functional verification of Steerwise software platform Write performance, scalability, availability & security related test code and test data for non-functional verification of Steerwise software platform Write infrastructureascode and configurationascode in a readable standard source format, maintainable modular form, and reusable code components Provision & configure environments; Deploy application packages & config specs; Deploy orchestration scripts, dataset migration scripts, rollback & redeploy scripts Annotate code, annotate APIs, annotate configuration files, annotate complex logic; Write build scripts, library dependency lists, build tasks, scripts & configurations and bill of materials & build log Build source code & run tests cases; Perform unit & integration testing; Troubleshoot & debug issues; Review & refactor application & test code, automatic code inspection results, peer review source code Create & publish cookbooks, lightweight end user guide, lightweight developer guide, lightweight operational manual

Break complex domain specific problems down to its simple parts, uncover the logical inter-relationships between them and infer or discover new requirements from existing facts Design detailed algorithms & solutions and write implementable specifications to build Steerwise software platform Develop test scenarios, test cases & test data for all the combinations & permutations that are comprehensive & complete reflecting the actual operational aspects of Steerwise software platform Build efficient, reusable & reliable Steerwise software platform specific service components & algorithms according to specifications; Integrate software components & third-party programs, tools, & platforms Adopt & execute lean-agile, behavior-driven, & test-driven development methods Write unit, integration, & system test code and test data for functional verification of Steerwise software platform Write performance, scalability, availability & security related test code and test data for non-functional verification of Steerwise software platform Write infrastructure-as-code and configuration-as-code in a readable standard source format, maintainable modular form, and reusable code components Provision & configure environments; Deploy application packages & config specs; Deploy orchestration scripts, dataset migration scripts, rollback & redeploy scripts Annotate code, annotate APIs, annotate configuration files, annotate complex logic; Write build scripts, library dependency lists, build tasks, scripts & configurations and bill of materials & build log Build source code & run tests cases; Perform unit & integration testing; Troubleshoot & debug issues; Review & refactor application & test code, automatic code inspection results, peer review source code Create & publish cookbooks, lightweight end user guide, lightweight developer guide, lightweight operational manual Run automated tests; Create smoke & unit test scripts & results, acceptance test scripts & res

We are looking for a highly skilled AWS Glue Developer with a minimum of 5-10 years of experience in the industry to join our team at IBM India. The ideal candidate will be responsible for developing and maintaining data integration solutions using AWS Glue, building ETL pipelines, and working on data lakes.Responsibilities:Develop and maintain ETL pipelines using AWS Glue.Design and develop data integration solutions using AWS Glue.Develop and maintain data ingestion, transformation, and integration solutions.Work on data lakes and build efficient data models.Collaborate with cross-functional teams to understand business requirements and design solutions accordingly.Optimize ETL performance and troubleshoot issues.Develop and maintain technical documentation.Stay up to date with the latest AWS Glue developments and incorporate new features and functionality into existing solutions.Requirements:Bachelor's degree in Computer Science or a related field.Minimum of 5-10 years of experience in AWS Glue development.Strong experience with ETL development using AWS Glue.Proficient in Python, Spark, and SQL.Experience with AWS services such as S3, Athena, and Redshift.Familiarity with data modeling and designing data lakes.Experience working with cross-functional teams and collaborating on projects.Excellent communication and documentation skills.Ability to troubleshoot and optimize ETL performance.

Data Management PySpark / SparkSQL Data Modeling Python / Scala Adaptable and flexible Agility for quick learning Ability to work well in a team Commitment to quality Strong analytical skillsRoles and Responsibilities:In this role, you need to analyze and solve increasingly complex problems Your day to day interactions is with peers within Accenture You are likely to have some interaction with clients and/or Accenture management You will be given minimal instruction on daily work/tasks and a moderate level of instructions on new assignments You will need to consistently seek and provide meaningful and actionable feedback in all interactions You will be expected to be constantly on the lookout for ways to enhance value for your respective stakeholders/clients Decisions that are made by you will impact your work and may impact the work of others You would be an individual contributor and/or oversee a small work effort and/or team. Please note this role may require you to work in rotational shifts.

Responsibilities:Design and implement effective database solutions and models to store and retrieve company data.Examine and identify database structural necessities by evaluating client operations, applications, and programming.Access database implementation procedures to ensure they comply with internal and external regulations.Install and organize information systems to guarantee company functionality.Prepare accurate database design and architecture reports for management and executive teams.Oversee the migration of data from legacy systems to new solutions.Monitor the system performance by performing regular tests, troubleshooting, and integrating new features.Recommend solutions to improve new and existing database systems.Educate staff members through training and individual support.Offer support by responding to system problems in a timely manner.Requirements:Bachelors degree in computer science, computer engineering, or relevant field.A minimum of 2 years experience in a similar role.Strong knowledge of database structure systems and data mining.Excellent organizational and analytical abilities.Outstanding problem solver.Good written and verbal communication skills.

Basic Qualifications5+ years of experience as a Data Engineer or in a similar role3+ years of industry experience in software development, data engineering, business intelligence, data science, or related field3+ years of experience in SQL & PythonBachelor's degree in computer science, engineering, mathematics, or a related technical disciplineExperience with data modelling, data warehousing, and building ETL pipelinesProven track record of solving complex business problem with high quality & automated testing in agile environment.Experience using one of the big data technologies (Spark, EMR, Dbt cloud etc)Excellent communication & analytics skillsPreferred QualificationsExperience working with AWS big data technologies (EMR, Redshift, S3, Lambda, RDS)Experience working with SnowflakeDemonstrated strength in data modeling, ETL development, and data warehousingExcellent understanding of any other programming languages like Java or JavaScriptExperience working with one of big data schedulers like Airflow, Oozie, Azkaban etc.Experience in data streaming with Kafka, Spark Streaming and KinesisBasic knowledge on Containerization and Orchestration like Docker, KubernetesUnderstanding of python data libraries like NumPy, Scikit-Learn etc.Open to learn new technologies & AI libraries