5551 Data Science Jobs - Page 49

Hi Everyone, Experience : 6-9yrs Work Mode: Hybrid Work location : Chennai/Bangalore/Pune Location Notice Period : Immediate - 30 days Role : Data Scientist Skills and Experience: 5 year with Data science and ML exposure Key Accountabilities & Responsibilities Support the Data Science team with the development of advanced analytics/machine learning/artificial intelligence initiatives Analyzing large and complex datasets to uncover trends and insights. Supporting the development of predictive models and machine learning workflows. Performing exploratory data analysis to guide product and business decisions. Collaborating with cross-functional teams, including product, marketing, and engineering. Assisting with the design and maintenance of data pipelines. Clearly documenting and communicating analytical findings to technical and non-technical stakeholders. Basic Qualifications: Qualificiation in Data Science, Statistics, Computer Science, Mathematics, or a related field. Proficiency in Python and key data science libraries (e.g., pandas, NumPy, scikit-learn). Operational understanding of machine learning principles and statistical modeling. Experience with SQL for data querying. Strong communication skills and a collaborative mindset. Preferred Qualifications Exposure to cloud platforms such as AWS, GCP, or Azure. Familiarity with data visualization tools like Tableau, Power BI, or matplotlib. Participation in personal data science projects or online competitions (e.g., Kaggle). Understanding of version control systems like Git. Kindly, share the following details : Updated CV Relevant Skills Total Experience Current Company Current CTC Expected CTC Notice Period Current Location Preferred Location

Project Overview The candidate will be working on the Model Development as a Service (MDaaS) initiative, Which focuses on scaling machine learning techniques for exception classification, early warning signals, Data quality control, model surveillance, and missing value imputation. The project involves applying advanced ML techniques to large datasets and integrating them into financial analytics systems. Key Responsibilities Set up Data Pipelines: Configure storage in cloud-based compute environments and repositories for large-scale data ingestion and processing. Develop and Optimize Machine Learning Models: Implement Machine Learning for Exception Classification (MLEC) to classify financial exceptions. Conduct Missing Value Imputation using statistical and ML-based techniques. Develop Early Warning Signals for detecting anomalies in multi-variate/univariate time-series financial data. Build Model Surveillance frameworks to monitor financial models. Apply Unsupervised Clustering techniques for market segmentation in securities lending. Develop Advanced Data Quality Control frameworks using TensorFlow-based validation techniques. Experimentation & Validation: Evaluate ML algorithms using cross-validation and performance metrics. Implement data science best practices and document findings. Data Quality and Governance: Develop QC mechanisms to ensure high-quality data processing and model outputs. Required Skillset Strong expertise in Machine Learning & AI (Supervised & Unsupervised Learning). Proficiency in Python, TensorFlow, SQL, and Jupyter Notebooks. Deep understanding of time-series modeling, anomaly detection, and risk analytics. Experience with big data processing and financial data pipelines. Ability to deploy scalable ML models in a cloud environment. Deliverables & Timeline Machine Learning for Exception Classification (MLEC): Working codes & documentation Missing Value Imputation: Implementation & validation reports Early Warning Signals: Data onboarding & anomaly detection models Model Surveillance: Fully documented monitoring framework Securities Lending: Clustering algorithms for financial markets Advanced Data QC: Development of a general-purpose QC library Preferred Qualifications Prior experience in investment banking, asset management, or trading desks. Strong foundation in quantitative finance and financial modeling. Hands-on experience with TensorFlow, PyTorch, and AWS/GCP AI services

6-8 years of over all experience with 3+ years in ML Ops engineering. Strong proficiency in Python , with experience in machine learning libraries such as TensorFlow , PyTorch , scikit-learn , etc. Extensiveexperience with ML Ops frameworks like DataIku (MUST Have),Kubeflow , MLflow , TensorFlow Extended (TFX) , . Strong experience in deploying and managing machine learning models on AWS environments Proficiency in managing CI/CD pipelines for ML workflows using tools such as Jenkins , GitLab , CircleCI , etc. Hands-on experience with containerization (Docker) and orchestration (Kubernetes) technologies for model deployment. Mandatory skills : SageMaker, DataIku, Python, PySpark, AWS Services ; Good to have: AWS CDK Mandatory Competencies Data Science - Machine Learning (ML) Python - Python Beh - Communication DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Jenkins DevOps - Github DevOps - Kubernetes Big Data - Big Data - Pyspark Cloud - AWS - AWS Lambda,AWS EventBridge, AWS Fargate Data Science and Machine Learning - Data Science and Machine Learning - AI/ML Data Science and Machine Learning - Data Science and Machine Learning - Python DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - GitLab,Github, Bitbucket DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Containerization (Docker, Kubernetes)

Role & responsibilities Highly focused individual with self-driven attitude Problem solving and logical thinking to automate and improve internal processes Using various tools such as SQL and Python for managing the various requirements for different data asset projects. Ability to diligently involve in activities like Data Cleaning, Retrieval, Manipulation, Analytics and Reporting Using data science and statistical techniques to build machine learning models and deal with textual data. Keep up-to-date knowledge of the industry and related markets Ability to multitask, prioritize, and manage time efficiently Understand needs of the hiring organization or client in order to target solutions to their benefit Advanced speaking and writing skills for effective communication Ability to work in cross functional teams demonstrating high level of commitment and coordination Attention to details and commitment to accuracy for the desired deliverable Should demonstrate and develop a sense of ownership towards the assigned task Ability to keep sensitive business information confidential Contribute, positively and extensively towards building the organizational reputation, brand and operational excellence Preferred candidate profile 3-6 years of relevant experience in data science Advanced knowledge of statistics and basics of machine learning Experienced in dealing with textual data and using natural language processing techniques Ability to conduct analysis to extract actionable insights Technical skills in Python (Numpy, Pandas, NLTK, transformers, Spacy), SQL and other programming languages for dealing with large datasets Experienced in data cleaning, manipulation, feature engineering and building models Experienced in the end-to-end development of a data science project Strong interpersonal skills and extremely resourceful Proven ability to complete assigned task according to the outlined scope and timeline Good language, communication and writing skills in English Expertise in using tools like MS Office, PowerPoint, Excel and Word Graduate or Post-graduate from a reputed college or university

Solid understanding of object-oriented programming and design patterns. 5 to 6 Years of strong experience with bigdata. Comfortable working with large data volumes and able to demonstrate a firm understanding of logical data structures and analysis techniques. Experience in Big data technologies like HDFS, Hive, HBase, Apache Spark, Pyspark & Kafka Proficient in code versioning tools, such as Git, BitBucket, and Jira Strong systems analysis, design and architecture fundamentals, Unit Testing, and other SDLC activities Experience in working on Linux shell scripting. Demonstrated analytical and problem-solving skills. Excellent troubleshooting and debugging skills. Strong communication and aptitude. Ability to write reliable, manageable, and high-performance code. Good knowledge of database principles, practices, and structures, including SQL development experience, preferably with Oracle. Understanding fundamental design principles behind a scalable application. Basic Unix OS and scripting knowledge. Good to have: Financial markets background is preferable but is not a must. Experience in Jenkins, Scala, Autosys. Familiarity with build tools such as Maven and continuous integration. Candidates with working knowledge of Docker Kubernetes OpenShift Mesos is a plus. Have basic experience in Data Preparation Tools Experience with CI/CD build pipelines. Mandatory Competencies Big Data - Big Data - HDFS Big Data - Big Data - HIVE Big Data - Big Data - Hadoop Big Data - Big Data - Pyspark Beh - Communication Data Science and Machine Learning - Data Science and Machine Learning - Apache Spark

Technical Expertise: Must Have: o Experience in Emma orchestration engine is a must o Proficient in Python programming with experience in agentic platforms from procode (e.g., Autogen, Semantic Kernel, LangGraph) to low code (e.g., Crew.ai, EMA.ai). o Hands-on experience with Azure open AI and related tools and services. o Fluent in GenAI packages like Llamaindex and Langchain. Soft Skills: Excellent communication and collaboration skills, with the ability to work effectively with stakeholders across business and technical teams. Strong problem-solving and analytical skills. Attention to detail. Ability to work with teams in a dynamic, fast-paced environment. Experience: 7 + years of experience in software development, with 3+ years in AI/ML or Generative AI projects. Demonstrated experience in deploying and managing AI applications in production environments. Key Responsibilities: Design, develop, and implement complex Generative AI solutions with high accuracy and for complex use cases. Utilize agentic platforms from procode (e.g., Autogen, Semantic Kernel, LangGraph) to low code (e.g., Crew.ai, EMA.ai). Leverage Azure OpenAI ecosystems and tooling, including training models, advanced prompting, Assistant API, and agent curation. Write efficient, clean, and maintainable Python code for AI applications. Develop and deploy RESTful APIs using frameworks like Flask or Django for model integration and consumption. Fine-tune and optimize AI models for business use cases. Mandatory Competencies Data Science and Machine Learning - Data Science and Machine Learning - Gen AI Programming Language - Python - Flask Programming Language - Python - Django Data Science and Machine Learning - Data Science and Machine Learning - Python Data Science and Machine Learning - Data Science and Machine Learning - AI/ML Cloud - Azure - Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage, Event Hubs, HDInsight Data Science and Machine Learning - Data Science and Machine Learning - Azure ML Beh - Communication and collaboration

Must-Have Skills: Expertise in AWS CDK, Services(Lambda, ECS, S3), Python and PostgreSQL DB management. Strong understanding serverless architecture and event-driven design(SNS, SQS). Nice to have: Knowledge of multi-account AWS Setups and Security best practices (IAM, VPC, etc.), Experience in cost optimization strategies in AWS. Mandatory Competencies Beh - Communication and collaboration Cloud - AWS - ECS Cloud - AWS - AWS Lambda,AWS EventBridge, AWS Fargate Data Science and Machine Learning - Data Science and Machine Learning - Python

ETL (IBM Datastage), Shell Python Scripting Database Expertise DevOps CI/CD Experience Mandatory Competencies Beh - Communication and collaboration ETL - ETL - Data Stage DevOps/Configuration Mgmt - DevOps/Configuration Mgmt - Basic Bash/Shell script writing Data Science and Machine Learning - Data Science and Machine Learning - Python Cloud - Azure - Azure Data Factory (ADF), Azure Databricks, Azure Data Lake Storage, Event Hubs, HDInsight Development Tools and Management - Development Tools and Management - CI/CD Database - Oracle - PL/SQL Packages Database - Sql Server - SQL Packages

Primary Skill(s): Lead Data Visualization Engineer with experience in Sigma BI Experience: 7+ Years in of experience in Data Visualization with experience in Sigma BI, PowerBI, Tableau or Looker Job Summary: Lead Data Visualization Engineer with deep expertise in Sigma BI and a strong ability to craft meaningful, insight-rich visual stories for business stakeholders. This role will be instrumental in transforming raw data into intuitive dashboards and visual analytics, helping cross-functional teams make informed decisions quickly and effectively. Key Responsibilities: Lead the design, development, and deployment of Sigma BI dashboards and reports tailored for various business functions. Translate complex data sets into clear, actionable insights using advanced visualization techniques. Collaborate with business stakeholders to understand goals, KPIs, and data requirements. Build data stories that communicate key business metrics, trends, and anomalies. Serve as a subject matter expert in Sigma BI and guide junior team members on best practices. Ensure visualizations follow design standards, accessibility guidelines, and performance optimization. Partner with data engineering and analytics teams to source and structure data effectively. Conduct workshops and training sessions to enable business users in consuming and interacting with dashboards. Drive the adoption of self-service BI tools and foster a data-driven decision-making culture. Required Skills & Experience: 7+ years of hands-on experience in Business Intelligence, with at least 2 years using Sigma BI. Proven ability to build end-to-end dashboard solutions that tell a story and influence decisions. Strong understanding of data modeling, SQL, and cloud data platforms (Snowflake, BigQuery, etc.). Demonstrated experience working with business users, gathering requirements, and delivering user-friendly outputs. Proficient in data storytelling, UX design principles, and visualization best practices. Experience integrating Sigma BI with modern data stacks and APIs is a plus. Excellent communication and stakeholder management skills. Preferred Qualifications: Experience with other BI tools (such as Sigma BI, Tableau, Power BI, Looker) is a plus. Familiarity with AWS Cloud Data Ecosystems (AWS Databricks). Background in Data Analysis, Statistics, or Business Analytics. Working Hours: 2 PM 11 PM IST [~4.30 AM ET 1.30 PM ET]. Communication skills: Good Mandatory Competencies BI and Reporting Tools - BI and Reporting Tools - Power BI BI and Reporting Tools - BI and Reporting Tools - Tableau Database - Database Programming - SQL Cloud - GCP - Cloud Data Fusion, Dataproc, BigQuery, Cloud Composer, Cloud Bigtable Data Science and Machine Learning - Data Science and Machine Learning - Databricks Cloud - AWS - ECS DMS - Data Analysis Skills Beh - Communication and collaboration

Automation test engineer with experience using AWS and scripting in Python Knowledge of Boto3 framework is required Test engineer should be able to test Infrastructure provisioned using CDK (created and deleted) and also test the full pipeline; scripts to test the persona (role Experience Required: 5 - 8 Yrs Involves execution of testing, monitoring and operational activities of various complexity based on assigned portfolio ensuring adherences to established service levels and standards. Executes identified test programs for a variety of specializations to support effective testing & monitoring of controls within business groups and across the Bank. Understands the business/group strategy and develops and maintains knowledge of end to end processes. Executes testing activities and any other operational activities within required service level agreements or standards. Develops knowledge related to program and/or area of specialty. Develops and maintains effective relationships with internal & external business partners/stakeholders to execute work and fulfill service delivery expectations. Participates in planning and implementation of operational programs and executes within required service level agreements and standards. Supports change management of varying scope and type; tasks typically focused on execution and sustainment activities. Executes various operational activities/requirements to ensure timely, accurate, and efficient service delivery. Ensures consistent, high quality practices/work and the achievement of business results in alignment with business/group strategies and with productivity goals. Analyzes automated test results and provides initial feedback on test results. Analyzes root causes of any errors discovered to provide for effective communication of issues to appropriate parties. Develops insights and recommends continuous improvement insights based on test results. Creates and maintains adequate monitoring support documentation, such as narratives, flowcharts, process flows, testing summaries, etc. to support the results of the reviews, including the write up of findings/issues for reporting. Mandatory Competencies QE - Test Automation Preparation Beh - Communication QA/QE - QA Automation - Python Data Science and Machine Learning - Data Science and Machine Learning - Python Cloud - AWS - AWS Lambda,AWS EventBridge, AWS Fargate

Roles & Responsibilities : - Responsible for developing new features and models as part of our core product through applied research. - Understand, apply and extend state-of-the-art NLP research to better serve our customers. - Work closely with engineering, product, and customers to scientifically frame the business problems and come up with the underlying AI models - Design, implement, test, deploy, and maintain innovative data and machine learning solutions to accelerate our business. - Think creatively to identify new opportunities and contribute to high-quality publications or patents. Desired Qualifications and Experience : - At Least 1 year of professional experience. - Bachelors in Computer Science or related fields from the top colleges. - Extensive knowledge and practical experience in one or more of the following areas : machine learning, deep learning, NLP, recommendation systems, information retrieval. - Experience applying ML to solve complex business problems from scratch. - Experience with Python and a deep learning framework like Pytorch/Tensorflow. - Awareness of the state of the art research in the NLP community. - Excellent verbal and written communication and presentation skills.

As a Technical Lead - Database Administration at Incedo, you will be responsible for managing and optimizing database management systems (DBMS) such as Oracle or SQL Server. You will work with database architects and developers to ensure that databases are designed and configured correctly. You will be responsible for ensuring the performance, scalability, and security of the DBMS and troubleshooting any issues that arise. You will also work with the security team to ensure that the DBMS is secure and complies with relevant regulations. Roles & Responsibilities: Installing, configuring and maintaining databases such as MySQL Managing and optimizing database performance Implementing and maintaining database security and access controls Troubleshooting and resolving database issues Developing and implementing database backup and recovery strategies Collaborating with other teams to ensure the consistency and integrity of data Technical Skills Skills Requirements: Proficiency in SQL programming for relational databases such as Oracle, SQL Server, or MySQL. Understanding of relational database concepts such as ACID properties, transactions, and normalization. Familiarity with database design and optimization techniques such as indexing, partitioning, and query optimization. Experience with database administration tasks such as backup and recovery, performance tuning, and security management. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Key Responsibilities Operational Oversight : Manage daily operations, schedule workflows, and oversee process improvements Strategic Planning : Develop and implement short-term and long-term plans; forecast resource and budget needs

As a Technical Lead - Fullstack at Incedo, you will be responsible for developing and maintaining web applications using various front-end and back-end technologies. You will work with a team of developers and collaborate with stakeholders to deliver high-quality solutions. Your responsibilities will include designing, developing, and maintaining software applications, as well as troubleshooting and fixing issues. Roles & Responsibilities: Writing high quality code, participating in code reviews, designing systems of varying complexity and scope, and creating high quality documents substantiating the architecture. Engaging with clients, understanding their technical requirements, planning and liaising with other team members to develop technical design & approach to deliver end-to-end solutions. Mentor & guide junior team members, review their code, establish quality gates, build & deploy code using CI/CD pipelines, apply secure coding practices, adopt unit-testing frameworks, provide better coverage, etc. Responsible for teams growth. Technical Skills Skills Requirements: Experience in both front-end and back-end development Proficiency in at least one programming language such as Java, Python, or JavaScript Familiarity with front-end technologies such as HTML, CSS, and JavaScript frameworks like React or Angular Knowledge of back-end technologies such as databases, APIs, and server-side frameworks like Node.js or Spring Boot Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Nice-to-have skills Qualifications Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Senior Big Data Platform Engineer at Incedo, you will be responsible for designing and implementing big data platforms to support large-scale data integration projects. You will work with data architects and data engineers to define the platform architecture and build the necessary infrastructure. You will be skilled in big data technologies such as Hadoop, Spark, and Kafka and have experience in cloud computing platforms such as AWS or Azure. You will be responsible for ensuring the performance, scalability, and security of the big data platform and troubleshooting any issues that arise. Roles & Responsibilities: Designing, developing and maintaining large-scale big data platforms using technologies like Hadoop, Spark and Kafka Creating and managing data warehouses, data lakes and data marts Implementing and optimizing ETL processes and data pipelines Developing and maintaining security and access controls Troubleshooting and resolving big data platform issues Collaborating with other teams to ensure the consistency and integrity of data Technical Skills Skills Requirements: Experience with big data processing technologies such as Apache Hadoop, Apache Spark, or Apache Kafka. Understanding of distributed computing concepts such as MapReduce, Spark RDDs, or Apache Flink data streams. Familiarity with big data storage solutions such as HDFS, Amazon S3, or Azure Data Lake Storage. Knowledge of big data processing frameworks such as Apache Hive, Apache Pig, or Apache Impala. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Senior Software Engineer - ETL - Python at Incedo, you will be responsible for designing and developing ETL workflows to extract, transform, and load data from various sources to target systems. You will work with data analysts and architects to understand business requirements and translate them into technical solutions. You will be skilled in ETL tools such as Informatica or Talend and have experience in programming languages such as SQL or Python. You will be responsible for writing efficient and reliable code that is easy to maintain and troubleshoot. Roles & Responsibilities: Develop, maintain, and enhance software applications for Extract, Transform, and Load (ETL) processes Design and implement ETL solutions that are scalable, reliable, and maintainable Develop and maintain ETL code, scripts, and jobs, ensuring they are efficient, accurate, and meet business requirements Troubleshoot and debug ETL code, identifying and resolving issues in a timely manner Collaborate with cross-functional teams, including data analysts, business analysts, and project managers, to understand requirements and deliver solutions that meet business needs Design and implement data integration processes between various systems and data sources Optimize ETL processes to improve performance, scalability, and reliability Create and maintain technical documentation, including design documents, coding standards, and best practices. Technical Skills Skills Requirements: Proficiency in programming languages such as Python for writing ETL scripts. Knowledge of data transformation techniques such as filtering, aggregation, and joining. Familiarity with ETL frameworks such as Apache NiFi, Talend, or Informatica. Understanding of data profiling, data quality, and data validation techniques. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Software Engineer - Investment ops at Incedo, you will be responsible for managing investment operations for clients. You will work with clients to understand their investment needs and manage operations that meet those needs. You will be skilled in investment management tasks such as portfolio management, trade processing, and performance measurement and have experience with investment management systems such as Bloomberg or Charles River. Roles & Responsibilities: Managing investment operations processes, including trade settlements, corporate actions, and cash management Ensuring compliance with regulatory requirements and internal policies Developing and maintaining investment operations documentation and policies Collaborating with other teams to implement process improvements Staying up-to-date with industry trends and best practices in investment operations. Technologies involved may include trading platforms, custodian systems, and investment management software. Technical Skills Skills Requirements: Knowledge of investment products such as equities, bonds, and derivatives Experience in managing investment operations processes such as trade settlements, portfolio accounting, and corporate actions Familiarity with investment management systems such as Bloomberg, Reuters, or FactSet Understanding of investment performance reporting and analytics Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Nice-to-have skills Qualifications Qualifications 3-5 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

System Design & Architecture : Lead architectural planning and design of software systems prioritizing scalability, reliability, and maintainability. Development & Coding : Write clean, efficient, and well-documented code. Implement robust testing, including unit and integration tests. Project Leadership : Drive projects from concept to delivery. Break down tasks, estimate effort, track milestones, and manage technical risk in collaboration with PMs and stakeholders.

As a Senior ML Engineer / ML Ops - GCP Specialist at Incedo, you will be responsible for building and deploying machine learning models in production environments. You will work with data scientists, data engineers, and software developers to design and implement machine learning pipelines. You will be skilled in programming languages such as Python or Java and have experience in ML tools such as TensorFlow or PyTorch. You will be responsible for ensuring that models are scalable, efficient, and can be deployed in production environments. Roles & Responsibilities: Designing and developing machine learning (ML) models and algorithms Implementing and maintaining ML pipelines and workflows Collaborating with data scientists and analysts to deploy and monitor ML models Developing and implementing ML deployment and monitoring strategies Providing guidance and mentorship to junior ML engineers Troubleshooting and resolving ML platform issues Technical Skills Skills Requirements: Proficiency in programming languages such as Python, Java, or Scala. Understanding of machine learning algorithms and techniques such as supervised learning, unsupervised learning, or reinforcement learning. Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras. Knowledge of cloud computing and containerization technologies such as Docker, Kubernetes, or AWS. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Provide leadership, guidance, and support to team members, ensuring the successful completion of tasks, and promoting a positive work environment that fosters collaboration and productivity, taking responsibility of the whole team. Nice-to-have skills Qualifications Qualifications 4-6 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Senior Technical Lead - C,C++ Scripting at Incedo, you will be responsible for developing and maintaining C/C++ scripts for various applications. You will work with a team of developers and collaborate with stakeholders to deliver high-quality solutions. Your responsibilities will include designing, developing, and maintaining software applications, as well as troubleshooting and fixing issues. Roles & Responsibilities: Design and develop C/C++ applications for various platforms including Windows, Linux, and Unix Write and maintain clean, efficient, and well-documented code Debug and troubleshoot complex software issues Collaborate with cross-functional teams to develop and implement software features and enhancements Foster a collaborative and supportive work environment, promoting open communication and teamwork. Demonstrate strong leadership skills, with the ability to inspire and motivate team members to perform at their best. Technical Skills Skills Requirements: Strong proficiency in C and/or C++ programming languages. Experience with scripting languages such as Python or Perl. Knowledge of software development principles such as OOP, design patterns, and clean code practices. Experience with version control systems such as Git. Lead and manage a team of professionals to achieve organizational goals. Provide guidance, support, and mentorship to help employees grow and develop professionally and focus on Career Management. Nice-to-have skills Qualifications Qualifications 8-10 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

We are seeking an intermediate Oracle Developer with strong expertise in PL/SQL and hands-on experience in database migrations. The ideal candidate will contribute to database migration projects, assist in resolving technical issues, and collaborate with the team to ensure seamless integration of Oracle databases with applications and analytics platforms. A basic understanding of Python will be valuable for troubleshooting and debugging issues at the PL/SQL code level. Experience with SingleStore (formerly MemSQL) is a plus and will be considered an added advantage. Technical Skills Key Responsibilities: Database Development: Assist in the development of complex PL/SQL queries, procedures, and functions to meet project requirements. Database Migrations: Participate in database migration projects, ensuring smooth data transitions and minimal disruption to operations. Collaboration: Work closely with senior developers, architects, and cross-functional teams to understand technical requirements and contribute to the design of solutions. Database Integration: Collaborate with other teams to ensure Oracle database integration with applications and analytics platforms. Troubleshooting and Debugging: Assist in troubleshooting PL/SQL code issues and provide solutions to resolve technical challenges. Learning and Development: Continuously enhance your knowledge and skills, particularly in PL/SQL, Oracle databases, and related technologies. SingleStore Experience (Preferred): If the candidate has exposure to SingleStore, they will have the opportunity to work on projects involving this hybrid database solution. Nice-to-have skills Qualifications Skills and Qualifications: Experience: 4-6 years of hands-on experience with Oracle databases and PL/SQL development. PL/SQL Expertise: Good knowledge of PL/SQL programming, with the ability to write, debug, and optimize queries, procedures, and functions. Database Migrations: Familiarity with database migration processes and understanding of how to migrate data between environments. Python Knowledge: Basic understanding of Python to assist in troubleshooting and debugging PL/SQL-related issues. Problem-Solving Skills: Ability to troubleshoot and resolve technical issues related to Oracle databases and PL/SQL code. Collaboration: Ability to work effectively in a team, communicate well, and collaborate with other developers and technical teams. Communication: Strong written and verbal communication skills, with the ability to clearly articulate technical concepts. Preferred Qualifications: Oracle certifications (e.g., Oracle Certified Associate) are a plus. Familiarity with database performance tuning and optimization. Exposure to cloud-based Oracle solutions (e.g., Oracle Cloud Infrastructure) is a plus. Experience with SingleStore (MemSQL) or other modern database technologies is an added advantage.

As a Technical Lead - Interaction Design (IxD) at Incedo, you will be responsible for designing intuitive and engaging user interfaces and experiences for web and mobile applications. You will work with product managers, developers, and other stakeholders to understand user needs and design solutions that meet those needs. You will be skilled in user research, information architecture, and interaction design tools such as Sketch or Figma. Roles & Responsibilities: Designing and prototyping user interfaces and experiences for software applications and websites Conducting user research to inform design decisions Collaborating with software engineers and developers to implement designs Conducting usability testing and providing feedback for improvement Providing guidance and mentorship to junior IxD specialists Staying up-to-date with industry trends and best practices in user experience design Technical Skills Skills Requirements: Knowledge of user-centered design methodologies such as design thinking, user research, or usability testing. Proficiency in design tools such as Sketch, Figma, or Adobe Creative Suite. Understanding of web development technologies such as HTML, CSS, or JavaScript. Familiarity with interaction design patterns and principles such as affordances, feedback, or mapping. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Nice-to-have skills Qualifications Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

As a Technical Lead - Cloud Data Platform (AWS) at Incedo, you will be responsible for designing, deploying and maintaining cloud-based data platforms on the AWS platform. You will work with data engineers, data scientists and business analysts to understand business requirements and design scalable, reliable and cost-effective solutions that meet those requirements. Roles & Responsibilities: Designing, developing and deploying cloud-based data platforms using Amazon Web Services (AWS) Integrating and processing large amounts of structured and unstructured data from various sources Implementing and optimizing ETL processes and data pipelines Developing and maintaining security and access controls Collaborating with other teams to ensure the consistency and integrity of data Troubleshooting and resolving data platform issues Technical Skills Skills Requirements: In-depth knowledge of AWS services and tools such as AWS Glue, AWS Redshift, and AWS Lambda Experience in building scalable and reliable data pipelines using AWS services, Apache Spark, and related big data technologies Familiarity with cloud-based infrastructure and deployment, specifically on AWS Strong knowledge of programming languages such as Python, Java, and SQL Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Nice-to-have skills Qualifications Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Role Description: As a Technical Lead - Interaction Design (IxD) at Incedo, you will be responsible for designing intuitive and engaging user interfaces and experiences for web and mobile applications. You will work with product managers, developers, and other stakeholders to understand user needs and design solutions that meet those needs. You will be skilled in user research, information architecture, and interaction design tools such as Sketch or Figma. Roles & Responsibilities: Designing and prototyping user interfaces and experiences for software applications and websites Conducting user research to inform design decisions Collaborating with software engineers and developers to implement designs Conducting usability testing and providing feedback for improvement Providing guidance and mentorship to junior IxD specialists Staying up-to-date with industry trends and best practices in user experience design Technical Skills Skills Requirements: Knowledge of user-centered design methodologies such as design thinking, user research, or usability testing. Proficiency in design tools such as Sketch, Figma, or Adobe Creative Suite. Understanding of web development technologies such as HTML, CSS, or JavaScript. Familiarity with interaction design patterns and principles such as affordances, feedback, or mapping. Must have excellent communication skills and be able to communicate complex technical information to non-technical stakeholders in a clear and concise manner. Must understand the company's long-term vision and align with it. Should be open to new ideas and be willing to learn and develop new skills. Should also be able to work well under pressure and manage multiple tasks and priorities. Nice-to-have skills Qualifications Qualifications 7-9 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred

Understands the process flow and the impact on the project module outcome. Works on coding assignments for specific technologies basis the project requirements and documentation available Debugs basic software components and identifies code defects. Focusses on building depth in project specific technologies. Expected to develop domain knowledge along with technical skills. Effectively communicate with team members, project managers and clients, as required. A proven high-performer and team-player, with the ability to take the lead on projects. Design and create S3 buckets and folder structures (raw, cleansed_data, output, script, temp-dir, spark-ui) Develop AWS Lambda functions (Python/Boto3) to download Bhav Copy via REST API and ingest into S3 Author and maintain AWS Glue Spark jobs to: partition data by scrip, year and month convert CSV to Parquet with Snappy compression Configure and run AWS Glue Crawlers to populate the Glue Data Catalog Write and optimize AWS Athena SQL queries to generate business-ready datasets Monitor, troubleshoot and tune data workflows for cost and performance Document architecture, code and operational runbooks Collaborate with analytics and downstream teams to understand requirements and deliver SLAs Technical Skills 3+ years hands-on experience with AWS data services (S3, Lambda, Glue, Athena) PostgreSQL basics Proficient in SQL and data partitioning strategies Experience with Parquet file formats and compression techniques (Snappy) Ability to configure Glue Crawlers and manage the AWS Glue Data Catalog Understanding of serverless architecture and best practices in security, encryption and cost control Good documentation, communication and problem-solving skills Nice-to-have skills Qualifications Qualifications 3-5 years of work experience in relevant field B.Tech/B.E/M.Tech or MCA degree from a reputed university. Computer science background is preferred