Skills/Experience We are seeking an experienced SQL Server DBA with expertise in Azure SQL, performance tuning, and scripting to join our team. As an SQL Server DBA, you will manage Azure SQL and on-premises databases, ensure data integrity and optimize performance. Responsibilities include performance tuning, scripting for automation and implementing security measures. Job Type : Full Time, Permanent Requirements : Bachelor s degree in computer science or related field. Proven experience with Azure SQL and SQL Server administration. Proficiency in performance tuning and scripting (PowerShell, T-SQL, etc.). Strong understanding of database security and backup strategies. Excellent problem-solving skills and attention to detail. Effective communication and teamwork abilities.
About Cittabase. Company overview. Our Approach. Our Values and Core Principles. Careers. Events. Department: Data Analytics. Project Location(s): Chennai, TN, India. Education: Professional Degree. About The Role. We are seeking a highly skilled and experienced Informatica Data Management Cloud (IDMC) Architect/Tech Lead to join our dynamic team. In this role, you will be responsible for leading the design, implementation, and maintenance of data management solutions using the Informatica Data Management Cloud platform. You will work closely with cross-functional teams to architect scalable and efficient data pipelines, ensure data quality and governance, and drive the successful delivery of data projects. The ideal candidate will possess deep expertise in Informatica IDMC, strong leadership capabilities, and a proven track record of driving data initiatives to success.. Responsibilities. Lead the design and implementation of data management solutions leveraging Informatica Data Management Cloud.. Architect end-to-end data pipelines for ingestion, transformation, integration, and delivery of data across various sources and destinations.. Collaborate with stakeholders to gather requirements, define data architecture strategies, and translate business needs into technical solutions.. Provide technical leadership and guidance to a team of developers, ensuring adherence to coding standards, best practices, and project timelines.. Perform performance tuning, optimization, and troubleshooting of Informatica IDMC workflows and processes.. Stay abreast of emerging trends and technologies in data management, Informatica platform updates, and industry best practices.. Act as a subject matter expert on Informatica Data Management Cloud, participating in solution architecture discussions, client presentations, and knowledge sharing sessions.. Job Type : Full Time, Permanent. Qualifications. Bachelors degree in computer science, Information Technology, or related field. 8 12 years of experience in IT with specialized in Data Management (DW/Data Lake/Lakehouse). 6 10 years of experience in Informatica suite of products such as PowerCenter / Data Engineering / CDC. In-depth knowledge RDBMS/Cloud Database architecture. Must have implemented a minimum of two full lifecycle IDMC projects.. Strong understanding of data integration patterns and data modeling concepts. Hands-on experience with Informatica IDMC configurations Data modelling & Data Mappings. Proven leadership experience, with the ability to mentor team members and drive collaboration. Excellent communication skills, with the ability to effectively interact with technical and non-technical stakeholders.. Should be able to work with PM/BA and translate the requirements into working model and work with developers to implement the same.. Prepare and present solution design and architecture documents.. Knowledge of Visualization/BI tools will be an added advantage.. Join us and contribute to our innovative projects. Apply now to be part of our dynamic team!. Apply for the Job. ?. Show more Show less
Job Description We are looking for an experienced Tableau Developer to build, optimize, and maintain interactive dashboards and analytical solutions. The ideal candidate will be strong in data visualization, SQL, and translating business requirements into meaningful insights. Responsibilities Develop and publish Tableau dashboards and reports Gather and translate business requirements into technical specifications Prepare, clean, and organize data from multiple sources Build and optimize data models and calculated fields Manage Tableau Server publishing and updates Collaborate with BI, data engineering, and business teams Troubleshoot and optimize dashboard performance Nice-to-Have: Experience with cloud platforms like AWS, Azure, or GCP Exposure to Snowflake or Big Query Qualifications 5+ years of Tableau development experience Strong SQL skills Experience with large datasets and complex data sources Knowledge of data warehousing and ETL concepts Strong analytical and communication skills Must have Tableau Certification
Job Description We are seeking a Sr. Data Visualization Engineer with deep expertise in Tableau , strong SQL skills, and solid data warehousing fundamentals. The role requires hands-on experience with Tableau and the ability to design scalable, high-performance dashboards, semantic layers, and governed self-service analytics. Candidates should be proficient in advanced Tableau capabilities (LOD, performance optimization, complex calculations) and able to translate business requirements especially in HR/Workday domains into intuitive, actionable data experiences. Responsibilities Design, build, and optimize Tableau dashboards , workbooks, and semantic models for enterprise analytics. Develop advanced Tableau logic : LOD expressions, window functions, row-level security, parameterization, and performance tuning. Enable self-service analytics by defining governed metrics, reusable data models, certified datasets, and user enablement workflows. Work closely with data engineering teams to define data requirements and optimize BigQuery datasets for visualization. Translate HR/Workday, Finance, and business requirements into intuitive visual and analytical experiences. Implement best practices for dashboard lifecycle management, quality checks, and performance monitoring. Collaborate with stakeholders to drive adoption, iterate on insights, and improve user experience. Support cross-platform BI initiatives; contribute to Looker or Power BI work where needed. Experience: 5 + Years Location: Chennai Employment Type: Full-time Qualifications 5+ years of experience in data visualization, BI engineering, or analytics roles. Strong expertise in Tableau , including LOD expressions, performance tuning, calculations, and dashboard optimization. Strong SQL skills with solid understanding of data warehousing concepts. Hands-on experience with GCP BigQuery and cloud-based analytical environments. Experience enabling self-service analytics , metric standardization, and semantic modelling. Exposure to Looker or Power BI (good to have). Understanding of Workday data structures and HR/People Analytics concepts (good to have). Strong analytical thinking, problem-solving, communication, and stakeholder management skills.
Job Description We are looking for a Data Engineer with strong expertise in SQL , advanced data warehousing concepts , and programming skills in Python or Java . The role requires hands-on experience with GCP BigQuery , Dataflow, Cloud Composer , and strong exposure to Dataplex for governance and data management. All transformations are built using dbt , so familiarity with dbt development and best practices is essential. Experience with Snowflake or Databricks is a plus. Understanding of Workday data structures and HR analytics is good to have. Responsibilities Build scalable data pipelines using BigQuery, Dataflow, and Cloud Composer . Develop ELT transformations and data models using dbt following modular, testable, and governed practices. Apply advanced data warehousing techniques, performance optimization, partitioning, clustering, and data modeling patterns. Implement data governance, quality rules, lineage, and metadata workflows through Dataplex . Develop production-ready code in Python/Java for orchestration, automation, and data processing. Collaborate with analytics, product, and business teams (including HR/Workday domains) to define data requirements. Ensure secure, reliable, and cost-optimized data pipelines aligned to best practices. Support CI/CD, monitoring, troubleshooting, and continuous improvement of pipelines and dbt models. Experience: 4-8 Years Location: Chennai Employment Type: Full-time Qualifications 4 8 years of experience in data engineering, data warehousing, or analytics engineering roles. Strong expertise in SQL and advanced data warehousing topics (modelling, performance tuning, optimization). Hands-on experience with GCP BigQuery, Dataflow, Cloud Composer , and Dataplex . Practical experience developing transformations and models in dbt . Proficiency in Python or Java for data processing and automation. Exposure to Snowflake or Databricks (good to have). Understanding of Workday data structures and HR/People Analytics concepts (good to have). Strong problem-solving skills, communication, and ability to collaborate with cross-functional teams.
Job Description We are hiring a Senior Business Systems Analyst / Data Product Manager to partner with global HR, Talent, Finance, and IT teams to translate strategic priorities into scalable product and data solutions, primarily using Tableau and Looker . The role requires strong analytical skills, a product mindset, and the ability to drive cross-functional alignment within global, matrixed teams. Responsibilities Partner with HR, TA, and IT stakeholders to define and prioritize business and data requirements. Define and prioritize business and data requirements; manage product backlog, user stories, and releases. Map current- and future-state processes; standardize global workflows while ensuring governance, security, and privacy compliance. Translate requirements into functional designs across the Analytics Data Platform and BI tools (Tableau/Looker). Ensure secure-by-design access (row/column-level controls) for sensitive HR and candidate data. Own semantic data products, taxonomy and ontology, governed metrics, lineage, and SLAs; monitor adoption, data quality, and UX. Enable governed self-service analytics for HR, Finance, and Sustainability teams. Lead UAT, testing cycles, defect triage, release readiness, and production support. Liaise with business, IT, and vendors; support tool evaluations and roadmap discussions. Communicate progress, risks, and value realization to senior stakeholders. Experience: 5+ Years Location: Chennai Employment Type: Full-time Qualifications 5+ years experience in HR/Finance systems, analytics data products, or business analysis. Bachelor s degree in information systems, Business, Analytics, Data, or related fields. Strong expertise in Tableau and Looker , including semantic modelling and governed metrics. Working knowledge of cloud data platforms (GCP preferred) and modern data pipelines. Experience leading global matrix teams and driving cross-functional alignment. Strong communication, storytelling, and executive-level presentation skills. Agile delivery experience (backlog ownership, planning, UAT). Strong understanding of data governance, workforce metrics, security, and privacy controls. Experience in data integration, modelling, and reporting; familiarity with Workday APIs and data flows.
Job Description We are looking for an AI/ML Engineer with a strong inclination toward Generative AI and Large Language Models (LLMs) to build intelligent, scalable, and production-grade AI applications. You will work on real-world use cases involving NLP, GenAI, predictive modelling , and data-driven automation, closely collaborating with data engineering and product teams. Responsibilities Design, develop, train, and deploy machine learning and Generative AI models for real-world business use cases including prediction, automation, NLP, and decision intelligence. Build and optimize LLM-powered applications such as chatbots, document intelligence systems, summarization engines, and RAG (Retrieval-Augmented Generation) pipelines with hands-on experience in LLMs, embeddings, vector search, and RAG architectures. Perform data preprocessing, feature engineering, model evaluation, and hyperparameter tuning to ensure accuracy, reliability, and scalability. Develop and manage end-to-end ML and GenAI pipelines, including training, validation, versioning, deployment, monitoring, and optimization. Work with Snowflake, Databricks and other cloud platforms (GCP, AWS, Azure) to enable scalable data-driven AI solutions. Monitor model performance, drift, cost, and latency, and apply continuous optimization to production AI systems. Collaborate with cross-functional teams to translate business problems into scalable AI solutions. Apply AI governance, security, and responsible AI practices across ML and LLM systems. Experience: 2 3 Years Location: Chennai Employment Type: Full-time Qualifications Bachelor s or Master s degree in Computer Science, Data Science, AI/ML, or related fields. 2 3 years of hands-on experience in Machine Learning / AI projects. Strong programming skills in Python and ML libraries like XGBoost, Pytorch, Tensorflow. Strong understanding of Model Evaluation Techniques and Feature Engineering. Experience with SQL and data handling. Strong experience with model deployment. Basic understanding of MLOps concepts (CI/CD for ML, model versioning). Hands-on experience with LangChain, LlamaIndex, and LangGraph to orchestrate agents, workflows, and multi-step AI pipelines. Working experience with platforms like Snowflake, Databricks is a plus
Job Description We are looking for a Sr. Data Engineer with strong hands-on Data Vault 2.0 modelling and design experience, advanced SQL skills, and solid data warehousing fundamentals. The role requires practical experience with the GCP stack ( BigQuery , Dataflow, Cloud Composer ) and strong exposure to Dataplex . Candidates should be proficient in taxonomy, ontology, and designing agile data models that separate and organize data domains effectively. Responsibilities Design and implement Data Vault 2.0 models (Hubs, Links, Satellites) using best practices. Define and maintain taxonomy and ontology frameworks for domain separation and agility. Build scalable data pipelines using BigQuery, Dataflow, and Cloud Composer . Implement governance, classification, quality rules, and lineage using Dataplex . Develop complex SQL transformations and optimize performance for analytical workloads. Collaborate with architecture, product, and analytics teams to deliver governed, scalable data models. Experience: 6+ Years Location: Chennai Employment Type: Full-time Qualifications 6+ years of experience in data engineering, data warehousing, or analytics engineering roles. Strong hands-on experience in Data Vault modelling & design . Advanced SQL skills and strong data warehousing fundamentals. Practical experience with GCP BigQuery, Dataflow, Cloud Composer, and Dataplex . Knowledge of taxonomy, ontology , and metadata-driven modelling practices. Exposure to Workday data structures and HR/People Analytics domain understanding. Exposure to dbt , Snowflake , or Databricks . Familiarity with CI/CD and cloud-native engineering best practices. Good analytical, problem-solving, and collaboration skills.
About the Role : We are seeking a highly skilled and experienced Informatica Data Management Cloud (IDMC) Architect/Tech Lead to join our dynamic team. In this role, you will be responsible for leading the design, implementation, and maintenance of data management solutions using the Informatica Data Management Cloud platform. You will work closely with cross-functional teams to architect scalable and efficient data pipelines, ensure data quality and governance, and drive the successful delivery of data projects. The ideal candidate will possess deep expertise in Informatica IDMC, strong leadership capabilities, and a proven track record of driving data initiatives to success. Responsibilities Lead the design and implementation of data management solutions leveraging Informatica Data Management Cloud. Architect end-to-end data pipelines for ingestion, transformation, integration, and delivery of data across various sources and destinations. Collaborate with stakeholders to gather requirements, define data architecture strategies, and translate business needs into technical solutions. Provide technical leadership and guidance to a team of developers, ensuring adherence to coding standards, best practices, and project timelines. Perform performance tuning, optimization, and troubleshooting of Informatica IDMC workflows and processes. Stay abreast of emerging trends and technologies in data management, Informatica platform updates, and industry best practices. Act as a subject matter expert on Informatica Data Management Cloud, participating in solution architecture discussions, client presentations, and knowledge sharing sessions. Job Type : Full Time, Permanent Qualifications Bachelor s degree in computer science, Information Technology, or related field 8 12 years of experience in IT with specialized in Data Management (DW/Data Lake/Lakehouse) 6 10 years of experience in Informatica suite of products such as PowerCenter / Data Engineering / CDC In-depth knowledge RDBMS/Cloud Database architecture Must have implemented a minimum of two full lifecycle IDMC projects. Strong understanding of data integration patterns and data modeling concepts Hands-on experience with Informatica IDMC configurations Data modelling & Data Mappings Proven leadership experience, with the ability to mentor team members and drive collaboration Excellent communication skills, with the ability to effectively interact with technical and non-technical stakeholders. Should be able to work with PM/BA and translate the requirements into working model and work with developers to implement the same. Prepare and present solution design and architecture documents. Knowledge of Visualization/BI tools will be an added advantage.
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