ETL Tools Informatica Jobs in Ahmedabad

Job Title: Data Engineer Position Overview: We are seeking a Data Engineer to join our team and work on developing and maintaining our Python-based applications. The Data Engineer will be responsible for designing, developing, testing, and maintaining code for new features while fixing bugs in the existing codebase. The role requires experience with ETL/ELT tools, SQL, Python, and PowerBI to deliver high-quality data integration and reporting solutions. Key Responsibilities Collaborate with the source application team and Data Champions to build and maintain the ETL/ELT pipelines for various source systems across the organization. Utilize applicable tools (e.g., SSIS, APIs) to qualify, extract, standardize/normalize, optimize, and import data from source to target data marts. Demonstrated experience working with Microsoft SQL Server Integration Services (SSIS) to create and deploy ETL packages. Write and optimize complex SQL queries, stored procedures, views, and functions for data extraction and transformation. Work on data analysis projects and continuous improvement programs to support internal projects. Use data visualization and reporting tools like Power BI/SSRS to create and publish reports. Write high-quality, clean, and maintainable code. Collaborate with cross-functional teams to define, design, and ship new features. Identify and fix bugs in existing code and optimize the performance of our applications. Ensure proper documentation for all tasks and deliverables. Requirements 3 to 5 years of experience in ETL/ELT tools, SQL, SSIS, Python, and PowerBI. Solid Python development skills, particularly for data manipulation or back-end API/framework development. Experience with SSIS and Business Objects Data Services, including data governance, master data management, data cleansing, Slowly Changing Dimensions, and Change Data Capture. Experience developing ETL pipelines using Python and SSIS to support data warehouse and data pipeline automation. Proven ability to write complex SQL queries and optimize them for performance. Experience managing production support for ETL projects and handling deployment activities. Tools and Activities Experience Data Integration and Management Tools: SQL Server Integration Services (SSIS), APIs, Python, SQL Server. Databases: SQL Server, MySQL, DB2. Data Visualization Tools: Microsoft Power BI, SSRS. Cloud: Azure (preferred). Skill Sets: Python, SQL Server, PowerBI, Azure (plus). Desired Skills Strong analytical skills with the ability to write and optimize SQL queries effectively. Excellent problem-solving and troubleshooting skills, particularly in a production support environment. Ability to work independently and manage multiple projects simultaneously. Strong written and verbal communication skills for reporting and collaborating across teams.

Job Description: We are seeking a Snowflake Lead to design and manage scalable data pipelines and solutions on Snowflake. The ideal candidate will have a strong understanding of Snowflake architecture and data warehousing concepts, along with hands-on experience in ETL processes, SQL optimization, and performance monitoring. Experience with Fivetran is a plus. Key Responsibilities: Design, build, and maintain scalable data pipelines using Snowflake. Implement and manage Snowpipe, Time Travel, and Fail Safe features. Develop and optimize SQL queries for data extraction and transformation. Build and maintain ETL processes to integrate data from multiple sources into Snowflake. Monitor and troubleshoot data warehouse performance issues. Ensure data security and governance practices are in place. Collaborate with cross-functional teams to support business intelligence and reporting requirements. Apply a deep understanding of Snowflake architecture to deliver robust solutions. Experience with Fivetran is an added advantage. Qualifications: Bachelor s degree in Computer Science, Information Technology, or a related field. Proven experience with Snowflake and data warehousing concepts. Proficiency in SQL and ETL tools (e.g., Talend, Informatica, etc.). Strong problem-solving and analytical skills. Excellent collaboration and communication skills. Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.

Job Overview Join us in shaping both our product and company culture! We re looking for an experienced engineer who thrives in a collaborative environment and enjoys experimenting with innovative solutions for building a blockchain ecosystem. You ll work alongside a supportive team that values agility, quality, and delivering impactful results. What You ll Do Play a core role in defining and implementing our product strategy. Collaborate closely with the team to deliver high-quality solutions with the right balance of speed and precision. Own the full lifecycle of projects from ideation to production release. Design and build scalable backend systems and ETL pipelines for processing financial market data. Work with modern tools and technologies such as Node.js, Typescript, AWS, Docker, Terraform, and Kafka. Contribute to backend architecture, code implementation, and strategies for improving system performance over time. 8+ years of engineering experience, with a strong foundation in distributed systems. Proficiency in Node.js, JavaScript, and Python. Experience with serverless technologies like AWS Lambda and AWS Fargate. Proven track record of running production APIs (REST/GraphQL). Experience working with Puppeteer, Playwright, or Cypress. Strong knowledge of relational databases (PostgreSQL, Snowflake). Hands-on experience managing complex software systems in AWS. Bonus Skills Experience with Rust, Solidity, and smart contract development/testing. Familiarity with Kafka and building ETL pipelines.

We are seeking a skilled AWS Redshift Developer to join our team and help us optimize our data warehousing and analytics capabilities. Roles & Responsibilities: Design, develop, and maintain data models and ETL processes in Amazon Redshift. Write complex SQL queries and optimize performance for data retrieval and reporting. Collaborate with data engineers, analysts, and other stakeholders to understand data requirements and deliver solutions. Implement best practices for data governance, security, and performance tuning in Redshift. Monitor system performance and troubleshoot any issues that arise. Create and maintain documentation for data models, ETL processes, and system architecture. Stay updated with the latest AWS services and features to enhance data management and analytics capabilities. Requirement: 3+ years of experience in data warehousing and analytics, with a strong focus on AWS Redshift. Proficient in SQL and experience with ETL tools (e.g., AWS Glue, Apache Airflow). Familiarity with data modelling concepts and methodologies. Experience with AWS services such as S3, Lambda, and EC2. Strong analytical skills and attention to detail. Excellent communication and collaboration skills. AWS certifications (e.g., AWS Certified Data Analytics - Specialty). Knowledge of other AWS data services (e.g., RDS, DynamoDB). Experience with BI tools (e.g., Tableau, Power BI) for data visualization. Qualification : 3+ years of experience in data warehousing and analytics, with a strong focus on AWS Redshift.

Job Title: Sr. Python / AI-ML Developer Location: Ahmedabad Experience: 3+ Years Qualification: Graduate in any discipline About Us: At Bytes Technolab, we strive to foster innovation through a robust digital infrastructure and a dynamic work environment. Our goal has always been to empower our developers with cutting-edge tools and technologies, enabling them to deliver world-class software solutions to startups, enterprises, and everything in between. We are looking for a highly skilled and driven Sr. Python / AI-ML Developer to join our expanding AI/ML team. If you're passionate about solving complex problems with intelligent solutions, we d love to hear from you. Key Responsibilities: Develop, train, and optimize machine learning and deep learning models using Python and its ML/AI ecosystem (NumPy, Pandas, scikit-learn, etc.). Work with leading ML/AI frameworks such as PyTorch, TensorFlow, Keras, OpenCV, and FaceNet. Leverage GPU acceleration (CUDA, cuDNN) for deep learning development and optimization. Design and implement solutions in computer vision, natural language processing (NLP), and neural networks. Work with large language models (LLMs) like GPT, BERT, and LLaMA, including tasks such as fine-tuning, embedding-based retrieval (RAG), and prompt engineering. Develop agentic AI systems using frameworks like LangChain, AutoGPT, BabyAGI, and custom orchestration pipelines. Translate complex business requirements into scalable AI/ML solutions. Deploy models on cloud platforms (AWS SageMaker, Azure ML, or Google AI Platform). Build and manage robust ETL pipelines, handle data preprocessing, and perform feature engineering. Implement MLOps workflows using tools such as MLflow, Kubeflow, or TensorFlow Extended (TFX). Containerize and orchestrate scalable deployments using Docker and Kubernetes. Manage model evaluation, A/B testing, continuous training pipelines, and CI/CD for ML systems. Work closely in Agile/Scrum teams and contribute to collaborative solution design. Ensure AI solutions adhere to ethical principles, and are fair, interpretable, and secure. Required Skills & Qualifications: 3+ years of professional experience in AI/ML model development and deployment. Expertise in Python and relevant libraries for AI/ML and data science. Strong grasp of neural networks, computer vision, and NLP fundamentals. Experience working with LLMs and agent-based architectures. Proficiency in cloud-based ML deployment and automation. Solid experience with containerization (Docker) and orchestration (Kubernetes). Strong problem-solving and analytical skills. Excellent communication skills with the ability to explain technical concepts to non-technical stakeholders. Familiarity with data versioning (DVC, Delta Lake) and continuous model delivery. Understanding of responsible AI practices including fairness and bias mitigation. Work on cutting-edge technologies in a high-growth, collaborative environment. Opportunity to lead AI/ML projects from ideation to production. Exposure to real-world applications of LLMs, MLOps, and agentic systems. Learn and grow with a passionate team of engineers, innovators, and thinkers.

Job Title: Data Engineering Intern / Junior Data Engineer Location: Ahmedabad, Gujarat Type: Internship About the Role We re looking for a passionate and motivated Data Engineering Intern to join our team. This is an excellent opportunity for individuals with a foundational understanding of data concepts who are eager to gain hands-on experience with real-world data engineering projects and modern cloud technologies. Key Responsibilities Assist in building and maintaining ETL/ELT data pipelines. Support data extraction, transformation, and loading processes. Help design and implement data warehouses and data lakes. Work closely with senior engineers and analysts to understand data requirements. Write basic SQL queries and Python scripts for data manipulation. Participate in data validation and quality checks. Document workflows, processes, and technical details. What You ll Need Basic understanding of SQL and Python. Familiarity with ETL concepts and data warehouse/lake architectures. Interest in cloud platforms such as Azure, AWS, or Google Cloud. Strong problem-solving skills and analytical thinking. Willingness to learn, adapt, and take initiative. Clear and effective communication skills. Bonus Skills (Nice to Have) Exposure to tools like Azure Data Factory, Databricks, or Power BI. Academic or personal projects related to data engineering. Familiarity with Git or other version control systems. Get hands-on experience with industry-standard data tools and technologies. Learn from a collaborative and experienced team. Build a solid foundation for a career in data engineering. Opportunity for full-time employment based on performance and growth.

Job Title: Python Developer (ERP & API Integration) Experience: 2 4 Years Location: Rajkot, Gujarat Vacancies: 2 Job Type: Full-Time Job Overview: We are hiring experienced Python Developers with 2 4 years of hands-on experience to contribute to the development and enhancement of our ERP platform. This role involves working with Python, APIs, and basic SQL operations, as well as applying object-oriented programming (OOP) principles to build scalable, maintainable solutions. Key Responsibilities: Develop Python-based modules and applications to enhance and extend ERP platform features. Perform basic SQL operations including data retrieval, insertion, and manipulation. Support and contribute to API integrations between internal systems and third-party services. Write modular, reusable, and maintainable code using OOP best practices. Participate in debugging, troubleshooting, and resolving software issues. Collaborate closely with cross-functional teams and maintain clear technical documentation. Eligibility & Requirements: 2 to 4 years of experience as a Python Developer. Solid understanding of Python programming, object-oriented principles, and clean coding practices. Familiarity with basic SQL operations and database interactions. Experience or exposure to API development and integration. Strong team collaboration and communication skills. Desirable Skills: Experience with ERP systems or enterprise software development. Familiarity with tools like Postman, Git, or JIRA. Knowledge of frameworks like Flask, Django, or FastAPI is a plus. Understanding of RESTful web services and backend architecture. Personal Attributes: Analytical thinker with attention to detail. Positive, self-motivated, and eager to learn. Ability to work both independently and as part of a collaborative team. Commitment to timely delivery and continuous improvement. Be part of a growing, tech-forward team in Rajkot. Work on challenging ERP and automation projects. Opportunity to grow your Python expertise in a collaborative environment.

Position: Database Developer/Administrator Job Summary: We are looking for an experienced Database Developer/Administrator to join our team and manage, optimize, and secure our database systems. The ideal candidate will have strong SQL development and database administration skills, with a focus on performance tuning, data modeling, and ensuring high availability and reliability of database systems. Key Responsibilities: Design, develop, and optimize complex SQL queries, stored procedures, and functions. Implement database schema changes and performance tuning strategies. Troubleshoot and resolve query performance issues. Install, configure, upgrade, and maintain database systems. Ensure database security, availability, and reliability. Perform regular database backups, restoration, and disaster recovery planning. Develop and maintain database architecture and data models. Design and implement data migration strategies between different systems. Establish best practices for database design and development. Lead a team of database developers and administrators. Mentor and guide junior team members in database best practices. Work closely with application developers, business analysts, and stakeholders to meet project requirements. Monitor database health, usage, and performance using monitoring tools. Conduct regular audits to ensure database integrity and consistency. Implement and maintain high availability and failover solutions. Ensure compliance with data protection and privacy regulations. Maintain up-to-date documentation for database systems and procedures. Required Qualifications: Bachelor s degree in Computer Science, Information Technology, or a related field. 7+ years of hands-on experience in SQL development and database administration. Proficiency in database technologies like SQL Server, MySQL, PostgreSQL, or Oracle. Strong knowledge of query optimization, indexing, and database performance tuning. Experience with database backup and recovery, replication, and high availability solutions. Familiarity with database monitoring tools and technologies. Solid understanding of data modeling concepts and techniques. Knowledge of cloud-based databases and services (e.g., AWS RDS, Azure SQL Database) is a plus. Excellent problem-solving and analytical skills. If you are a skilled and experienced Database Developer/Administrator looking for an exciting opportunity, we encourage you to apply and contribute to the success of our team! Qualification : Bachelors degree in Computer Science, Information Technology, or a related field.

Job Title: QA Tech Lead Blockchain & Cloud Technologies Location: Ahmedabad, India Experience Required: 1 to 10 Years About the Role As a QA Tech Lead, you ll play a pivotal role in driving product quality and team culture. You ll work closely with a dynamic and supportive team to deliver high-impact features using agile methodologies. This is a unique opportunity to be at the forefront of blockchain technology, cloud infrastructure, and data pipelines. Key Responsibilities Lead quality assurance efforts across multiple products and teams. Design and implement scalable QA strategies, automation frameworks, and test plans. Collaborate with cross-functional teams including developers, product managers, and DevOps. Contribute to the development of backend systems using Node.js, TypeScript, and Python. Design, develop, and maintain ETL pipelines for processing financial market data. Own product ideas from conception through delivery. Experiment with innovative solutions in a blockchain-first environment. Ensure continuous delivery and integration within a serverless AWS infrastructure. Tech Stack You'll Work With Languages & Frameworks: Node.js, JavaScript, TypeScript, Python Cloud & Infrastructure: AWS (Lambda, Fargate), Docker, Terraform Testing & QA: Puppeteer, Playwright, Cypress Databases: PostgreSQL, Snowflake Data & Messaging: Kafka, ETL pipelines Bonus Technologies: Rust, Solidity, Smart Contracts Requirements 8+ years of hands-on engineering experience. Strong command over distributed systems and microservices architecture. Proven experience running APIs (REST/GraphQL) in production environments. Expertise in server-side development with Node.js and Python. Proficiency in designing and executing QA processes and automation. Experience managing cloud-based applications on AWS. Familiarity with modern CI/CD pipelines and DevOps practices. Nice-to-Haves Experience with blockchain development, particularly Rust and Solidity. Knowledge of smart contract testing and deployment. Background in financial market data processing and analytics. Direct impact on product and engineering decisions. Work with cutting-edge technologies in a fast-growing blockchain ecosystem. Be part of a supportive, agile, and innovative team culture. Opportunity to take ownership of ideas and see them through to execution.

Roles and Responsibilities Data mining or extracting usable data from valuable data sources Using machine learning tools to select features, create and optimize classifiers Carrying out preprocessing of structured and unstructured data Enhancing data collection procedures to include all relevant information for developing analytic systems Processing, cleansing, and validating the integrity of data to be used for analysis Analyzing large amounts of information to find patterns and solutions Developing prediction systems and machine learning algorithms Presenting results in a clear manner Propose solutions and strategies to tackle business challenges Collaborate with Business and IT teams Requirements Bachelor's or Master's degree in Computer Science, Engineering, or related field. Proven track record of success in leading Data architecture projects and teams. Excellent communication, collaboration, and interpersonal skills. Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities effectively. Qualification : Bachelor's or Master's degree in Computer Science, Engineering, or related field.

Job Title: Data Scientist Experience: 4+ Years Educational Qualification: B.Tech/M.Tech (CS/IT), M.Sc. (CS/IT) from a recognized university Role Description We are seeking a skilled Data Scientist to join our team. The ideal candidate will identify valuable data sources, automate data collection processes, and analyze large datasets to uncover trends and patterns. This role involves building predictive models and machine-learning algorithms, collaborating with cross-functional teams, and proposing data-driven solutions to business challenges. Key Responsibilities Identify, collect, and automate data acquisition from valuable sources. Pre-process structured and unstructured data for analysis. Analyze large datasets to discover patterns and trends. Develop and implement predictive models and machine-learning algorithms. Combine multiple models using ensemble modeling techniques. Visualize data and present findings through dashboards and reports. Propose innovative solutions and strategies to address business challenges. Collaborate with engineering and product development teams for seamless integration of data solutions. Required Skills & Experience 4+ years of experience as a Data Scientist or Data Analyst with hands-on data mining experience. Proficiency in business intelligence tools (e.g., Power BI) and data frameworks (e.g., Hadoop). Experience querying databases and using statistical programming languages: Python, SQL, etc.; familiarity with Scala, Java, or C++ is a plus. Strong understanding of statistical and data mining techniques such as GLM/Regression, Random Forest, Boosting, Tree-based models, and text mining. Expertise in advanced machine learning algorithms: regression, clustering, simulation, scenario analysis, decision trees, neural networks, etc. Solid foundation in machine learning, operations research, and advanced statistical methods. Strong analytical mindset with business acumen and problem-solving capabilities. Excellent project management and organizational skills. Nice-to-Have Skills Strong math skills (e.g., statistics, algebra). Experience working in dynamic, cross-functional environments with diverse teams. Ability to work with data and analytics experts to enhance the functionality of data systems. Qualification : B.Tech/M.Tech (CS/IT), M.Sc. (CS/IT) from a recognized university

About the Team: The Transactions Division at S&P Global Market Intelligence focuses on publishing data related to Mergers & Acquisitions (M&A) and Capital Markets. The team is responsible for collecting, validating, and analyzing corporate transaction data using various sources, such as search tools, press releases, company websites, stock exchange platforms, and regulatory filings. This data is curated and provided to clients in the form of a comprehensive, accurate, and timely product. The Impact: This role plays a crucial part in shaping the Transactions Dataset. As an analyst, you will be involved in collecting and validating data while working closely with peers and stakeholders on process improvements. This position offers an excellent opportunity to gain hands-on experience in the M&A, Private Offerings (PO), and Public Placements (PP) domains. You will deepen your understanding of financial reporting standards, corporate actions, and apply this knowledge in a practical setting. What s in it for You: You will be primarily responsible for the daily collection and validation of transactional data. As you develop a strong understanding of the dataset and become proficient in workflows, you will also have the opportunity to mentor new talent, helping them build their skill set. Additionally, you will be involved in process improvement initiatives, including LEAN and automation projects, that support various S&P Global Market Intelligence products. Key Responsibilities: Data Collection & Validation: Accurately extract, analyze, and input data into work tools according to specified guidelines. Ensure the integrity and quality of the collected data. Data Sources & Research: Utilize search tools, press releases, company websites, regulatory filings, and trade documents to extract and verify transaction data. Dataset Understanding: Develop a deep understanding of the dataset and workflows, becoming proficient in using the work tools and ensuring timely data delivery. Target Achievement: Meet individual and team targets while maintaining a focus on delivering high-quality, error-free results. Process Improvement & Innovation: Provide input for new data collection methods and suggest product enhancements related to the dataset. Project Management: Participate in projects as assigned, ensuring they are completed within the specified timelines while maintaining the required quality standards. Problem Resolution: Troubleshoot issues and provide support to the team to resolve any operational challenges. Basic Qualifications: Educational Background: MBA/BBA (preferably in finance), M.Com, or ACCA. Experience: Previous experience in financial research, data analytics, or quality assurance is preferred. Skills: Strong research and analytical skills. Proficiency in clear and effective communication. Basic knowledge of SQL and VBA is preferred. Ability to manage multiple tasks and priorities simultaneously. Strong teamwork and collaboration skills, with the ability to communicate effectively with global stakeholders. Willingness to work in rotational shifts (Morning, Evening, and Night). About S&P Global Market Intelligence: At S&P Global Market Intelligence, a division of S&P Global, we provide accurate, deep, and insightful information that empowers our clients to make confident decisions. Our team of experts delivers cutting-edge data and technology solutions, helping organizations expand their perspective, operate with confidence, and make informed decisions. Qualification : MBA/BBA (preferably in finance), M.Com, or ACCA.

About the Role: The Data Quality Measurement Team plays a key role in ensuring the accuracy, timeliness, and reliability of data used by various business units. As part of this team, the Data Content Manager will be responsible for overseeing and managing data quality activities, ensuring that data sets meet the highest standards set by the business or regulatory guidelines. The team is composed of highly skilled professionals who work together to mitigate regulatory and legal risks while delivering exceptional client experiences. The Impact: The role of the Data Content Manager has a wide-reaching impact, influencing decision-making, operational efficiency, customer satisfaction, compliance, and overall team performance. By maintaining high-quality data standards, the organization can derive greater value from its data and gain a competitive advantage. What You Stand to Gain: Professional Growth & Development: Opportunities for career advancement and skill diversification. Direct Impact on Decision-Making: Engage with market leaders, gain cultural exposure, and strengthen stakeholder management skills. Cutting-Edge Technologies & Practices: Exposure to the latest technology adoption and a culture of innovation. Key Responsibilities: Stakeholder Engagement: Work closely with stakeholders to define data quality requirements and usage needs for specific regions or business areas. Ownership of Data Quality: Lead the ongoing delivery of data quality measurement activities, with a focused concentration on a specific region or business area. Issue Identification & Remediation: Identify data quality issues, perform analysis, and escalate for resolution to ensure data accuracy and high quality. Testing & Data Audits: Perform testing on defined use cases for new technologies, deliver results, and identify sources of errors. Also, conduct data audits on new data vendors. Root Cause Analysis: Conduct root cause analysis on smaller data analysis tasks related to assigned or unfamiliar projects. Regulatory Compliance: Implement data quality processes to ensure S&P Ratings compliance with regulatory requirements. Data Querying & Correction: Perform data queries to identify and drive corrections of data inconsistencies. What We re Looking For: Experience: Typically 7-9 years of experience in a data role, with experience in a data quality role being advantageous. Technical Skills: Proficiency in technical tools such as Excel, SQL, Python, data extraction tools, and data visualization tools. Industry Knowledge: Good understanding of financial and market data, data cataloging, and AI technologies and their potential applications in data management. Data Requirements & Querying: Solid understanding of data requirements and intermediate-level data querying skills. Leadership: Ability to manage a team of 8-10 professionals effectively. Collaboration & Problem-Solving: Ability to communicate assumptions clearly, solicit feedback, and find ways to improve. Proactively manage issues and drive solutions. Project Understanding: Understand how individual tasks fit into the larger project and identify issues with requirements early. About S&P Global Ratings: At S&P Global Ratings, we provide independent, analyst-driven credit ratings, research, and sustainable finance opinions that help market participants make confident, data-driven decisions. By providing transparency and high-quality insights into creditworthiness, we enable growth across a wide range of organizations, including businesses, governments, and institutions. As a division of S&P Global, we are the world's leading provider of credit ratings, benchmarks, analytics, and workflow solutions in the global capital, commodity, and automotive markets. Our offerings help organizations navigate the economic landscape and plan for the future with confidence.

Data Miner Job Location : Ahmedabad, Gujarat Experience : 1 to 2 Years Roles and responsibilities : Key Responsibilities: Gather, clean, and preprocess data from various sources, including databases, CRM systems, and online platforms. Utilize data mining techniques to identify and qualify potential leads. Develop targeted lead lists based on demographic, firmographic, and behavioral data. Analyze market trends, customer behavior, and competitive landscape to uncover actionable insights and identify new lead opportunities. Create detailed reports and dashboards to present lead generation metrics, trends, and performance to stakeholders. Work closely with sales and marketing teams to align lead generation efforts with business objectives and campaigns. Apply your knowledge of data practices and market trends specific to the US, UK, and Europe to optimize lead generation strategies. Use data mining tools and software to perform data extraction, analysis, and lead qualification. Stay updated with industry trends, emerging tools, and best practices in data mining and lead generation to enhance processes and outcomes. Qualifications: 1-2 years of experience in data mining, lead generation, or a related field. Proficiency in data mining tools. Demonstrated ability to generate and qualify leads using data-driven methods. Strong analytical and problem-solving skills with attention to detail in data analysis and lead generation. Excellent written and verbal communication skills, with the ability to present data insights and lead generation results clearly and effectively. Bachelor s degree in Data Science, Marketing, Business Analytics, or a related field. Perks and Benefits: Healthy & Flexible Work Environment All Saturdays Off (5 Days Working) Performance based Incentive & employee friendly policies Attractive Awards, Festival Celebrations, Picnic, Birthday Celebrations etc. Unlimited opportunity to grow. Qualification : Bachelors degree in Data Science, Marketing, Business Analytics, or a related field.

Job Title: Data Engineer Location: Ahmedabad, Gujarat Job Type: Full-Time About the Role We re seeking a talented Data Engineer with hands-on experience in Azure-based data solutions. If you excel at building scalable data pipelines and have a strong command of Azure Data Factory, Databricks, PySpark, and Python, we want to hear from you. Experience with Azure Synapse Analytics, Microsoft Fabric, or Power BI will be a strong advantage. What You ll Do Design and implement scalable ETL/ELT pipelines using Azure Data Factory and Databricks. Process and transform large datasets using PySpark and Python. Build and maintain data lakes and data warehouses on the Azure Cloud. Collaborate with data architects, analysts, and business stakeholders to develop effective data solutions. Ensure high standards of data quality, consistency, and reliability. Optimize pipeline performance and manage cloud costs efficiently. Apply best practices for data security, governance, and monitoring. Document workflows and contribute to architectural decisions. 3 5 years of hands-on experience in Data Engineering. Proficiency with: Azure Data Factory (ADF) Azure Databricks Azure SQL Python and PySpark Azure Storage (Blob, Data Lake Gen2) Experience with data lakehouse or modern data warehouse architecture. Familiarity with Delta Lake, MLflow, and Unity Catalog is a plus. Strong SQL skills and experience with performance tuning. Understanding of CI/CD processes in Azure. Excellent analytical and problem-solving abilities. Bonus Skills (Preferred but not required) Experience with Azure Synapse Analytics. Knowledge of Microsoft Fabric. Power BI experience for dashboards and reporting. Exposure to DevOps and Infrastructure as Code (IaC). Understanding of data governance and security frameworks. Relevant certifications (e.g., Databricks Certified Data Engineer Associate/Professional).

Data Scientist Roles and Responsibilities: Data Mining & Extraction: Extract valuable, usable data from various data sources to support business objectives and analytic systems development. Machine Learning & Model Optimization: Utilize machine learning techniques to select relevant features, build, and optimize classifiers for data analysis. Data Preprocessing & Cleansing: Perform preprocessing tasks on both structured and unstructured data to prepare it for in-depth analysis, ensuring its quality and accuracy. Enhancing Data Collection: Improve data collection procedures to capture all necessary information, enabling the development of robust analytic systems. Data Validation & Integrity: Cleanse and validate data to ensure its integrity, making it suitable for analysis and predictive modeling. Pattern Analysis & Solution Development: Analyze large datasets to identify patterns and develop insights, helping to solve complex business problems. Prediction & Algorithm Development: Design and develop predictive systems and machine learning algorithms to deliver actionable insights and support decision-making. Result Presentation: Communicate findings and insights clearly to both technical and non-technical stakeholders, ensuring understanding and adoption. Solution Proposal & Strategy Development: Propose innovative solutions and strategies to tackle business challenges, driving data-driven decisions. Collaboration with Teams: Work closely with Business and IT teams to align data science initiatives with organizational goals and ensure seamless integration with existing systems. Requirements: Educational Background: Bachelor s or Master s degree in Computer Science, Engineering, or a related field. Experience & Leadership: Proven experience leading data architecture projects and teams, with a strong track record of delivering data-driven solutions. Communication & Collaboration Skills: Excellent communication, collaboration, and interpersonal skills, with the ability to effectively convey technical concepts to various audiences. Adaptability: Ability to thrive in a fast-paced, dynamic environment, managing multiple priorities and deadlines effectively. Qualification : Bachelors or Masters degree in Computer Science, Engineering, or a related field.

Experience: 2 to 5 Years Job Location: Ahmedabad Role & Responsibilities: Excellent in analytical thinking for translating data into informative visuals and reports. Ability to create Power BI reports, dashboards, and visualizations as per business requirements. Proficient in creating DAX queries in Power BI desktop. Expertise in using advanced level calculations on data sets. Able to develop tabular and multidimensional models that are compatible with warehouse standards. Able to properly understand the business requirements and develop data models or work with the Data warehouse team on data modeling. Should have knowledge and experience in prototyping, designing, and requirement analysis. Ability to incorporate new features and techniques as released by Microsoft. Able to integrate Power BI reports into other applications using embedded analytics like Power BI service (SaaS), or by API automation. Also, one must be experienced in developing custom visuals for Power BI. Good knowledge and experience in understanding logical and physical data models. Good communication skills in English and attitude to learning new skills, technologies and taking on challenging tasks. Primary Skills: Power BI Dashboard SQL Server - Database Data Integration Data Profiling and Cleansing Database Query Tuning & Performance Optimization

Position: Data Science Architect Job Summary: We are seeking an experienced Data Science Architect to lead our data-driven initiatives, design scalable architectures, and drive AI/ML strategies. The ideal candidate will have deep expertise in data science, machine learning, cloud technologies, and big data frameworks. Key Responsibilities: Design and implement scalable data science architectures to support advanced analytics, AI, and ML models. Lead the end-to-end data pipeline development, including data ingestion, transformation, feature engineering, and model deployment. Collaborate with engineering, product, and business teams to define data strategies and align them with business goals. Provide thought leadership on best practices, emerging technologies, and AI/ML trends. Optimize and scale AI/ML models for real-time and batch processing use cases. Ensure compliance with data governance, security, and regulatory standards. Develop and mentor a team of data scientists and engineers to enhance overall capability and efficiency. Required Skills and Qualifications: Strong programming skills in Python. Experience with ML frameworks (TensorFlow, PyTorch, Scikit-learn, etc.). Knowledge of MLOps, CI/CD, and Model Deployment. Experience with Databases (SQL, NoSQL) and Data Warehouses (Redshift, BigQuery, Snowflake, etc.). Excellent problem-solving and analytical skills. Strong communication and stakeholder management abilities. Ability to lead and mentor teams. If you are a skilled Data Science Architect passionate about driving AI/ML initiatives and building scalable data solutions, we invite you to apply and join our innovative team! Qualification : BE/B.Tech/M.Tech

Technical Project Manager Dot Net Responsibilities: Project Management: Lead and manage large-scale software development projects, overseeing a team of 8 to 10 members on projects lasting 6+ months. Develop and execute detailed project and release plans, ensuring compliance with organizational standards and processes throughout the lifecycle. Technical Leadership: Provide hands-on guidance in backend (LAMP stack or .NET) and frontend technologies (ReactJS, NextJS, AngularJS). Utilize expertise in architecture, design, and implementation to ensure the successful delivery of technical solutions. Customer Communication: Serve as the primary point of contact for customers, managing relationships throughout the project delivery process. Develop and maintain a clear communication plan, ensuring regular updates and proactive sharing of relevant information with customers and stakeholders. Agile Methodology: Lead the adoption of Agile practices, facilitating Agile ceremonies and ensuring the team adheres to Agile principles to deliver high-quality software. Problem-Solving & Risk Management: Proactively identify and address potential risks, issues, and roadblocks, utilizing strong problem-solving skills to ensure timely resolution and avoid escalation. Technical Documentation & Presentation: Create wireframes and presentations to clearly communicate technical solutions to clients and stakeholders, ensuring a solid understanding of proposed technology concepts. API & Architecture Expertise: Leverage expertise in REST/SOAP APIs (JSON/XML) and a strong understanding of N-tier and Microservice architectures. Experience with ETL processes is a plus. Requirements: Experience: 10 to 15 years of experience in the software development industry, with at least 5 years in a Technical Project Manager role. Proven experience managing large-scale projects (6+ months), including new development projects with teams of 8 to 10 people. Technical Background: Hands-on experience with backend (LAMP stack or .NET) and frontend (ReactJS, NextJS, AngularJS) technologies. Strong expertise in REST/SOAP APIs, with solid experience in JSON/XML. Familiarity with N-tier and Microservice architecture; ETL experience is a plus. Agile Expertise: Deep understanding and hands-on experience with Agile development methodology and all associated ceremonies. Communication Skills: Exceptional verbal and written communication skills, with the ability to communicate effectively with both technical and non-technical stakeholders. Proven ability to manage customer relationships and serve as the main interface throughout the project delivery process. Problem-Solving & Risk Management: Strong analytical skills with a proven track record of identifying and solving potential issues before they escalate. Documentation & Presentation: Experience creating wireframes and technical presentations to communicate complex technology solutions effectively to clients.

Role & Responsibilities Power BI Report development. Building Analysis Services reporting models. Developing visual reports, KPI scorecards, and dashboards using Power BI desktop Connecting data sources, importing data, and transforming data for Business intelligence Analytical thinking for translating data into informative reports and visuals Responsible for design methodology and project documentaries Very good communication skills must be able to discuss the requirements effectively with the client teams, and with internal teams Primary Skills Power BI SQL Server- Database Secondary Skills (Nice to Have) SSIS- Database SSRS- Database SSAS- Database