ETL Extract Jobs in Pune

Senior ETL Engineer Location: Pune Role Overview: We are seeking a Senior ETL Engineer to design, develop, and optimize our end-to-end data infrastructure, including ETL pipelines, data lakes, and data warehouses. This role is instrumental in enabling reliable, scalable, and high-performance data operations while aligning with data governance best practices. You will be an integral part of a collaborative data team, working closely with Data Engineers, Architects, Analysts, Scientists, and other stakeholders to modernize and migrate our data systems to the cloud. Key Responsibilities: Convert SSIS stored procedures into Matillion mappings, and develop associated job schedules and audit frameworks. Design, build, and maintain efficient ETL pipelines to extract, transform, and load data from multiple sources into the data lake and data warehouse. Implement both full and incremental loads using SCD (Slowly Changing Dimensions) and CDC (Change Data Capture) methodologies for real-time and batch data processing. Develop and maintain robust error handling, job monitoring, and job audit mechanisms. Conduct data profiling, data cleansing, and root cause analysis to resolve data inconsistencies and improve data quality. Optimize data pipelines for performance, scalability, and data quality, using benchmarking and tuning techniques. Build dashboards or reports for ETL job monitoring, performance tracking, and system health checks. Support data governance practices, ensuring accuracy, availability, and security of production data. Contribute to cloud migration initiatives, transitioning data workloads from on-premise systems to modern cloud data platforms. Required Skills & Qualifications: Bachelor's degree in Computer Science, Engineering, or a related field. 5+ years of experience as an ETL Engineer, Data Engineer, or in a similar data engineering role. Experience with cloud-based data platforms such as AWS, Azure, or GCP. Proficiency with data warehousing technologies like Snowflake, Redshift, Azure Synapse, or Databricks. Hands-on experience with ETL tools such as Matillion, SSIS, Informatica, AWS Glue, Azure Data Factory, StreamSets, STRiim, Oracle ODI, Coalesce, or Talend. Solid understanding of data modeling principles (E/R and Dimensional Modeling) and tools like ER/Studio or ERwin. Proficiency with SQL and programming/scripting languages such as Python, Scala, or Java. Experience with database tools such as Microsoft SSMS or Oracle Developer. Strong analytical, problem-solving, and data troubleshooting skills. Excellent communication and collaboration abilities. Ability to work efficiently in a fast-paced, agile, and dynamic environment. Qualification : Bachelor's degree in Computer Science, Engineering, or a related field.

Job Title: Machine Learning Engineer Location: Pune Employment Type: Full-Time About the Role: We are seeking a Machine Learning Engineer with 1-3 years of hands-on experience to join our team. The ideal candidate will have proficiency in Python programming and a solid understanding of machine learning frameworks. You will work on building and deploying cutting-edge machine learning models and solutions, with a particular focus on computer vision and ML-Ops. Key Responsibilities: Develop Machine Learning Models: Build, train, and deploy machine learning models for various business applications. Computer Vision Solutions: Focus on building and deploying computer vision solutions at scale, leveraging frameworks like TensorFlow and OpenCV. Collaborate with Teams: Work with data scientists, software engineers, and other stakeholders to integrate machine learning solutions into products. Code Quality & Documentation: Write clean, maintainable, and readable code. Document your code and solutions for ease of understanding and future reference. Work with Data Pipelines: Understand and implement data pipelines for training machine learning models, ensuring data is pre-processed and transformed correctly. Version Control & Best Practices: Use Git and follow version control best practices to ensure collaboration and code integrity across the team. Machine Learning Frameworks: Implement machine learning algorithms using frameworks like TensorFlow, Keras, OpenCV, and other relevant libraries. ML-Ops: Familiarity with deploying machine learning models into production environments and managing their lifecycle. Minimum Qualifications: Experience: 1-3 years of experience as a Machine Learning Engineer or Data Scientist. Agile Development: Familiarity with the Agile development lifecycle and collaborative software development practices. Code Readability & Documentation: Ability to write clean, readable code and document your work thoroughly for future use and team collaboration. Third-Party Libraries & APIs: Experience in consuming third-party libraries and APIs to extend the functionality of your machine learning solutions. Version Control: Experience with Git and version control best practices. Data Pipelines: Understanding of data pipelines and how to handle data preprocessing, cleaning, and transformation for machine learning purposes. Core Python: Proficiency in Python programming and popular data science libraries (e.g., NumPy, Pandas, etc.). Machine Learning Frameworks: Knowledge of machine learning frameworks like TensorFlow and OpenCV. Preferred Qualifications: ETL Tools: Experience working with ETL (Extract, Transform, Load) tools and libraries to manage and preprocess data for machine learning. Computer Vision: Hands-on experience with computer vision tasks, especially with MaskRCNN for object detection and segmentation. ML-Ops: Knowledge of ML-Ops practices for deploying, monitoring, and maintaining machine learning models in production environments. Work on cutting-edge machine learning and computer vision projects. Collaborate with a talented, cross-functional team to solve real-world problems. Opportunity to grow your career in a dynamic and innovation-driven environment. Competitive compensation and benefits package. If you're passionate about machine learning, computer vision, and deploying scalable solutions, we'd love to have you on our team!

Data Engineer IBM Consulting About the Role Join us at IBM Consulting in one of our Client Innovation Centers, where we deliver specialized technical and industry expertise to both public and private sector clients worldwide. Our centers bring local skills and technical capabilities to help clients drive innovation and adopt cutting-edge technologies. A career at IBM Consulting is built on fostering long-term relationships and collaborating closely with clients around the globe. You ll work with leaders across multiple industries to advance the hybrid cloud and AI journeys of some of the world s most innovative and influential companies. Your ability to create impactful change will be empowered by IBM's strategic partner ecosystem and our robust technology platforms, including IBM Software and Red Hat. At IBM, curiosity and a continual pursuit of knowledge form the cornerstone of success. In your role, you'll be encouraged to challenge norms, explore new ideas beyond your immediate responsibilities, and deliver innovative solutions that make a meaningful difference for clients. Our culture is rooted in growth and empathy, ensuring long-term career development in an environment that celebrates your unique skills and experiences. Your Role and Responsibilities As a Data Engineer at IBM, you ll unlock the power of data, revealing insightful stories and complex patterns. You ll contribute to data gathering, storage, and both batch and real-time processing, playing an essential role in defining data management systems and identifying key data for analysis. Your key responsibilities will include: Predictive Modeling: Implementing, validating, and maintaining statistical and predictive models, utilizing big data techniques along with various machine learning methodologies. Enterprise Search Applications: Designing and deploying enterprise search applications like Elasticsearch and Splunk to meet client-specific needs. Collaboration & Agile Practices: Working in an agile, team-oriented environment, collaborating with data scientists, engineers, consultants, and database administrators to bring statistical rigor to predictive behavior challenges. Data Integration & Cleansing: Developing teams or writing programs to efficiently cleanse and integrate data, build predictive models, and evaluate the results. Required Education Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field. Preferred Education Master's Degree in a relevant technical discipline. Required Technical and Professional Expertise 4+ years of experience in data modeling and data architecture. Proficiency in data modeling tools like ERwin, IBM Infosphere Data Architect, and experience with database management systems. Familiarity with various data models, including relational, dimensional, and NoSQL databases. Strong understanding of business processes and how data supports business decision-making. Expertise in database design principles, data warehousing concepts, and data governance practices. Preferred Technical and Professional Experience Exceptional analytical and problem-solving skills, with a sharp attention to detail. Ability to work collaboratively in a team-oriented environment and manage multiple projects simultaneously. Knowledge of SQL or similar programming languages. At IBM Consulting, we foster a culture of growth, innovation, and collaboration. As a Data Engineer, you ll have the opportunity to work with some of the brightest minds in the industry, all while impacting critical data-driven solutions for global clients. Join us and be a part of a diverse team committed to driving change and shaping the future of technology and analytics. Qualification : Bachelor's Degree in Computer Science, Information Technology, Data Science, or a related field.

Transform Healthcare with Data: Join Cencora as a Data Engineer II At Cencora, our team members are at the heart of everything we do. We are on a mission to create healthier futures, and every individual here plays a crucial role in fulfilling that purpose. We believe in making a difference at the intersection of healthcare, technology, and innovation. If you're ready to shape the future of health and help improve lives globally, Cencora is the place for you. We are looking for a Data Engineer II to join our dynamic team. This role is pivotal in delivering accurate and reliable data to support our Legal and Compliance departments, with a direct impact on driving data-driven decisions that improve operational efficiencies and support strategic business goals. What You ll Do: As a Data Engineer II, you will be responsible for transforming raw data into actionable insights and building solutions that enhance business operations. Your role will span across multiple platforms, using SQL, SAP BusinessObjects, and a variety of other tools, to ensure that our data remains accurate, accessible, and consistent. Enhance Analytics Solutions: Lead the design and implementation of enhancements to business analytics solutions that align with evolving business needs. You ll turn complex business challenges into accessible data access requirements. Data Mining & Analysis: Perform data mining on vast datasets to uncover growth opportunities in sales, margin, and market share. Analyze pricing activities, including discounts, allowances, programs, and contract pricing, to drive profitability. Data Quality Assurance: Validate, cleanse, and aggregate data, ensuring its accuracy and integrity. You ll identify and resolve data inaccuracies, improving the overall quality of enterprise data. Collaboration & Problem-Solving: Work cross-functionally with teams like Inside Sales, Finance, and Sourcing to develop performance forecasts, projections, and plans based on data assumptions and variables. Automated Solutions: Identify opportunities for automated solutions to enhance data quality and efficiency across the enterprise. Report Development: Collaborate with internal stakeholders to define reporting deliverables, ensuring that data is appropriately named, structured, and ready for decision-making. Data Integrity & Monitoring: Monitor and update data changes on a mass scale using tools, ensuring the highest level of data integrity is maintained. What You Bring to the Table: Experience: You have 4+ years of direct experience in healthcare data analytics or data engineering. You know your way around large datasets and understand how to unlock insights that drive business decisions. Technical Expertise: Proficient in SAP and BusinessObjects, with an extensive background in Business Intelligence and SQL. Strong understanding of the wholesale distribution process, including purchases, sales, payments, and supplier rebates. Knowledge of pharmaceutical wholesale processes and chargebacks to wholesalers is a plus. Familiar with data visualization tools like Power BI or Tableau. Analytical Mindset: You re a critical thinker with an eye for detail, always ready to dive into data to uncover trends, identify issues, and solve problems. Mentorship: You bring leadership experience, with a knack for mentoring and guiding team members. Communication Skills: Your ability to communicate complex data insights to non-technical stakeholders is top-notch. You can explain trends and patterns with clarity and confidence. Bonus Points: Familiarity with Microsoft Power BI, Tableau, or other data visualization tools. Experience with Big Data analysis tools and techniques. Background in data governance and data management. What You ll Get from Us: Meaningful Work: At Cencora, your work directly impacts the future of healthcare. Your expertise in data will help us make strategic, data-driven decisions that improve lives globally. Growth Opportunities: We invest in our team members' growth through mentorship, professional development, and the chance to shape the future of healthcare technology. Collaborative Environment: Work alongside innovative professionals in a culture that values diverse perspectives and fosters collaboration. Comprehensive Benefits: We offer a range of benefits designed to support you in every aspect of life health, wellness, work-life balance, and more. Join Cencora Today! If you re ready to leverage your data engineering expertise to drive meaningful change, we d love to hear from you! Apply now to become part of a purpose-driven company at the forefront of innovation in the healthcare sector. Cencora is committed to building a healthier future, and we want you on this journey with us.

Tech Lead Data Overview: As a Tech Lead Data, you will provide technical leadership to a team of experts, helping implement information-driven strategies and systems that support agricultural scientists in developing solutions for growers. You will manage end-to-end implementation of data environments beyond architectural design, ensuring that real-life data systems are developed and executed efficiently. You are a highly motivated problem solver with the ability to prioritize shifting workloads in a dynamic environment. You are an effective communicator and a confident leader passionate about making things happen within a fast-paced organization. Key Responsibilities: Lead the development of data and analytics capabilities within the R&D node of the enterprise data mesh, implementing architectural blueprints for various data platforms. Develop and implement an organizational data strategy aligned with business processes, including data model design, database development standards, and management of data warehouses and analytics systems. Identify and manage both internal and external data sources, creating a data management plan aligned with the organizational strategy. Collaborate with cross-functional teams, stakeholders, and vendors to ensure the smooth functioning of the enterprise data ecosystem. Guide the technical direction of data projects and initiatives, ensuring best practices in data engineering and analytics. Integrate technical functionality to ensure data accessibility, accuracy, and security. Perform continuous audits of data management systems and address performance issues, reporting breaches or vulnerabilities to stakeholders. Experience & Skills Required: 9+ years of experience in Big Data, data warehousing, data analytics, and/or Information Management projects. Proven experience building large-scale enterprise data architectures using both commercial and open-source Data Analytics technologies. Strong data modeling and architecture skills, including expertise in data warehousing, data normalization, and dimensional modeling (e.g., OLAP, data vault). Understanding of predictive modeling, Natural Language Processing (NLP), text analysis, and Machine Learning. Knowledge of security integration, including Kerberos authentication, SAML, data security, privacy techniques like data masking, and tokenization. Experience with DevOps engineering and Continuous Integration/Delivery tools. In-depth understanding of AWS Cloud solutions and integrating into legacy systems and COTS solutions. Familiarity with the following tools: Data Ingestion: Snaplogic, Glue, Lambda Storage: S3 Processing: Databricks DWH: Redshift, Databricks SQL Warehouse Databases: RDS Languages: Python (pyspark), SQL (sparksql), Java, R BI Tools: PowerBI, Dash, Spotfire, Qlik Catalog: Glue catalog, Unity Catalog Streaming: Kafka, EventHub AI/ML: MLOps, SageMaker Storage/Dataframe: S3, Deltalake, Iceberg, Parquet Qualifications: University bachelor s degree in Science, Technology, Engineering, or Mathematics (STEM). Fluency in English. Strong customer focus with excellent communication, teamwork, and negotiation skills. In-depth technical experience, ideally with AWS certification. Experience implementing data-first solutions. Experiences to be Gained: Continuous upskilling in the latest technologies, tools, and design practices. Exposure to R&D operations. Development of leadership and relationship-building skills with internal customers. Company Description: Syngenta Group is one of the world s leading sustainable agriculture innovation companies, with over 53,000 people in more than 100 countries. We strive to transform agriculture through tailor-made solutions for farmers, society, and the planet. We are committed to maintaining high standards of ethics, integrity, and creating an inclusive, discrimination-free workplace. Additional Information: Syngenta is an Equal Opportunity Employer. We do not discriminate based on race, color, religion, gender, national origin, age, sexual orientation, gender identity, marital status, veteran status, disability, or any other legally protected status. Qualification : University bachelors degree in Science, Technology, Engineering, or Mathematics (STEM).

About Talentica Software: Talentica Software is a specialized software development firm founded by seasoned industry experts and alumni of IIT Bombay. We partner with startups to create innovative products, using cutting-edge technologies to address real-world challenges. With over 21 years of experience, we have collaborated with more than 180 startups, primarily in the U.S., contributing to many successful exits. In 2022, Talentica Software was honored as one of India s Great Mid-Size Workplaces by Great Place to Work. What We re Looking For: We are seeking a motivated Data Analyst to join our growing team. If you're passionate about working with SQL, BigQuery, Tableau, and MongoDB, and enjoy optimizing data ecosystems, we d love to hear from you! In this role, you will play a key part in managing and enhancing our data infrastructure, working across SQL (Oracle), BigQuery, Tableau, and NoSQL databases like MongoDB. You'll also help build our Lakehouse architecture and ensure data accuracy while supporting the scalability of our platform. Your Responsibilities: Develop, optimize, and maintain SQL queries to support efficient data delivery for Tableau reports. Write and refine complex queries for Oracle and BigQuery databases to meet business reporting needs. Utilize MongoDB to query semi-structured data for analytics and reporting. Collaborate with BI developers and analysts to streamline data workflows and enhance report accuracy. Design and manage ETL/ELT pipelines for smooth data ingestion and transformation. Work with cross-functional teams to identify and implement improvements in data workflows. Troubleshoot and resolve data issues as they arise. Contribute to the early-stage development of our Lakehouse architecture. Prepare existing data workflows for seamless integration with modern cloud platforms. Stay current with emerging data technologies and contribute to ongoing modernization efforts. Perform data validation and reconciliation to ensure consistency across multiple data sources. Collaborate with data analysts and business stakeholders to resolve data discrepancies. Support data quality assurance initiatives and establish best practices for data reliability. What You ll Need to Succeed: Qualifications: A BE/BTech in Computer Science, Data Engineering, or a related field from a prestigious institution (IIT, NIT, BITS, etc.). Experience: At least 5 years of experience in SQL development and managing data pipelines. Technical Skills: Advanced SQL skills, including performance tuning and query optimization. Strong understanding of ETL/ELT processes and experience with data transformation. Hands-on experience with relational databases (Oracle, BigQuery) and NoSQL (MongoDB). Proficiency in Python or other scripting languages for automation. Familiarity with cloud platforms (AWS, GCP, Azure) is a plus. Experience with BI tools like Tableau is highly desirable. Soft Skills: Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Ability to manage multiple tasks independently in a fast-paced environment. What We Offer: Innovative Culture: We focus on cutting-edge development, not routine maintenance work. Our team thrives on staying ahead with the latest technologies. Continuous Learning: At Talentica, you ll find abundant opportunities to grow and keep up-to-date with the latest trends in technology. Brilliant Peers: Work alongside talented professionals from top engineering colleges (IITs, NITs, and more). Work-Life Balance: Enjoy flexibility with remote work options and adaptable schedules. Supportive Environment: 82% of our employees recommend Talentica to their peers (according to Glassdoor), thanks to our positive, collaborative work culture. Recognition & Rewards: Your hard work will be celebrated, with a culture that recognizes and appreciates your contributions. If you re excited about the prospect of working with a team of bright professionals and advancing your career, we d love to hear from you. Ready to make an impact? Apply today, and let s connect! Qualification : BE/BTech in Computer Science, Data Engineering, or a related field from a top-tier institution (IIT, NIT, BITS, etc.).

About Talentica Software: Talentica Software is a boutique software development company founded by industry veterans and alumni of IIT Bombay. We specialize in helping startups build innovative products by leveraging the latest tools and technologies to solve real-world problems. Over the past 21 years, we've partnered with 180+ startups, primarily in the US, and have helped many achieve successful exits. In 2022, Great Place to Work recognized Talentica Software as one of India s Great Mid-Size Workplaces. What We re Looking For: What You ll Be Doing: As an ELT Developer, you will: Design, develop, and maintain ELT pipelines using GCP tools such as BigQuery, Dataflow, and Firestore. Optimize data pipelines for performance, scalability, and reliability. Transform raw data into structured formats that are ready for analytics and reporting. Integrate data from various sources into centralized repositories or operational systems. Collaborate with data engineers, analysts, and stakeholders to gather requirements and deliver solutions. Document ELT processes, workflows, and best practices. Monitor and manage ELT jobs to ensure timely data availability. Troubleshoot and resolve issues in data pipelines to maintain data integrity. To Succeed in This Role, You Should Have: Qualification: A Bachelor's degree in Computer Science, Information Technology, or a related field from a top-tier institute (IIT, NIT, BITS, etc.). Experience: At least 3 years of hands-on experience in ELT/ETL development on cloud platforms. Technical Skills: Expertise in GCP services like BigQuery, Firestore, Dataflow, and Pub/Sub. Proficiency in Python for scripting and automation. Strong understanding of data warehousing concepts and data modeling. Experience with SQL for data querying and transformation. Familiarity with NoSQL databases such as Firestore. Knowledge of Apache Beam for building scalable data processing pipelines. Soft Skills: Excellent problem-solving abilities, strong communication skills, and the ability to collaborate effectively with cross-functional teams. Bonus Points If You: Have experience with GCP Cloud Scheduler or other orchestration tools. Hold a Google Professional Data Engineer certification or a similar qualification. Have worked with CI/CD pipelines for deploying ELT workflows. What You ll Find at Talentica: Innovative Culture: We specialize in cutting-edge development, not maintenance work. Our clients come to us for our technological expertise and innovation. Endless Learning Opportunities: You'll have ample opportunities to grow, learn, and stay up to date with the latest trends in technology. Talented Peers: Work alongside talented individuals from India s top engineering colleges (IITs, NITs, and others). Work-Life Balance: We understand the importance of work-life balance and offer flexible schedules and remote work options. Great Culture: 82% of our employees recommend Talentica to their friends (according to Glassdoor). Join us, and you'll see why! Recognition & Rewards: We celebrate success and ensure that your contributions are recognized and appreciated. If you're excited to work with a team of talented professionals and take your career to the next level, we d love to hear from you. Ready to take the next step? Fill out the form below, and we'll be in touch soon! About Talentica Software: Talentica Software is a boutique software development company founded by industry veterans and alumni of IIT Bombay. We specialize in helping startups build innovative products by leveraging the latest tools and technologies to solve real-world problems. Over the past 21 years, we've partnered with 180+ startups, primarily in the US, and have helped many achieve successful exits. In 2022, Great Place to Work recognized Talentica Software as one of India s Great Mid-Size Workplaces. What We re Looking For: What You ll Be Doing: As an ELT Developer, you will: Design, develop, and maintain ELT pipelines using GCP tools such as BigQuery, Dataflow, and Firestore. Optimize data pipelines for performance, scalability, and reliability. Transform raw data into structured formats that are ready for analytics and reporting. Integrate data from various sources into centralized repositories or operational systems. Collaborate with data engineers, analysts, and stakeholders to gather requirements and deliver solutions. Document ELT processes, workflows, and best practices. Monitor and manage ELT jobs to ensure timely data availability. Troubleshoot and resolve issues in data pipelines to maintain data integrity. To Succeed in This Role, You Should Have: Qualification: A Bachelor's degree in Computer Science, Information Technology, or a related field from a top-tier institute (IIT, NIT, BITS, etc.). Experience: At least 3 years of hands-on experience in ELT/ETL development on cloud platforms. Technical Skills: Expertise in GCP services like BigQuery, Firestore, Dataflow, and Pub/Sub. Proficiency in Python for scripting and automation. Strong understanding of data warehousing concepts and data modeling. Experience with SQL for data querying and transformation. Familiarity with NoSQL databases such as Firestore. Knowledge of Apache Beam for building scalable data processing pipelines. Soft Skills: Excellent problem-solving abilities, strong communication skills, and the ability to collaborate effectively with cross-functional teams. Bonus Points If You: Have experience with GCP Cloud Scheduler or other orchestration tools. Hold a Google Professional Data Engineer certification or a similar qualification. Have worked with CI/CD pipelines for deploying ELT workflows. What You ll Find at Talentica: Innovative Culture: We specialize in cutting-edge development, not maintenance work. Our clients come to us for our technological expertise and innovation. Endless Learning Opportunities: You'll have ample opportunities to grow, learn, and stay up to date with the latest trends in technology. Talented Peers: Work along...

About Talentica Software: Talentica Software is a specialized software development firm founded by industry veterans and IIT Bombay alumni. We excel in helping startups build innovative products by leveraging cutting-edge tools and technologies to solve real-world challenges. Over the past 21 years, we ve collaborated with over 180 startups, primarily in the US, and have contributed to numerous successful exits. In 2022, Talentica Software was recognized by Great Place to Work as one of India s Great Mid-Size Workplaces. What We re Looking For: We are seeking a meticulous and detail-oriented QA Specialist who is passionate about ensuring data quality. You will work closely with our analytics team to design and execute robust QA processes, validate data pipelines, and automate repetitive QA tasks. Your contributions will play a crucial role in delivering accurate, reliable, and high-quality solutions. If you enjoy solving problems, automating processes, and ensuring data integrity, this role is tailor-made for you! What You ll Be Doing: As a QA Specialist, your responsibilities will include: Designing and implementing comprehensive QA processes for data and analytics deliverables. Validating end-to-end data pipelines, including data sources, ETL processes, data extracts, calculations, visualizations, and application interfaces. Conducting functional, regression, performance, and tolerance-range testing across reports and data systems. Simulating end-user interactions to ensure a smooth user experience with analytics outputs. Validating application tracking functionalities, including data collection through app usage. Verifying calculations and metrics in BI tools like Tableau, Power BI, and others. Performing database validation using SQL (Oracle, BigQuery) and NoSQL (MongoDB) systems. Automating recurring QA tasks in the analytics/BI environment where possible. Identifying, documenting, and tracking data quality issues and discrepancies. Collaborating with cross-functional teams including data engineers, BI developers, and product managers to ensure high-quality analytics deliverables. To Succeed in This Role, You Should Have: Qualifications: BE/B.Tech degree from top engineering institutions such as IIT, NIT, BITS, VJTI, or equivalent. Experience: 2+ years of experience in QA, data validation, or analytics testing. Technical Skills: Hands-on experience testing in BI tools environments. Proficiency in SQL, with experience in Oracle and BigQuery (preferred). Familiarity with NoSQL databases like MongoDB (a plus). Experience with regression testing and simulating user interactions in BI tools. Bonus Points If You Have: Knowledge of scripting languages like R or Python. Experience in automation testing in analytics or BI environments. Familiarity with Databricks. Soft Skills: Strong communication skills, with the ability to collaborate effectively across teams. Ability to present complex findings to both technical and non-technical stakeholders. What You ll Find at Talentica: Innovative Culture: We focus exclusively on cutting-edge development, not routine maintenance. Our technological expertise sets us apart. Endless Learning Opportunities: This is a place to grow. You ll have access to constant learning opportunities and stay updated on the latest trends in technology. Talented Peers: Work with brilliant professionals from India s top engineering colleges (IITs, NITs, and more). Work-Life Balance: We value flexibility and offer remote work options and flexible schedules to ensure a healthy work-life balance. Great Culture: 82% of our employees recommend Talentica to their peers (according to Glassdoor). We pride ourselves on our supportive and collaborative work environment. Recognition & Rewards: We celebrate success and ensure that your contributions are recognized and appreciated. If you re passionate about ensuring data integrity, automating processes, and solving problems in a fast-paced, innovative environment, we d love to hear from you. Qualification : BE/B.Tech from IIT, NIT, BITS, VJTI, or any other top Indian engineering college.

About Talentica Software: Talentica Software is a boutique software development company founded by industry veterans and alumni from IITB. For over 21 years, we have been helping startups build products using cutting-edge technologies. With a focus on solving real-world problems, we ve worked with over 180+ startups, primarily in the US, leading to numerous successful exits. In 2022, Great Place to Work recognized Talentica Software as one of India s Great Mid-Size Workplaces. What We re Looking For: We are seeking a Data Engineer to join the product engineering team for a SAAS-based Subscription Management Platform. If you have a passion for working with data and a drive to innovate, we encourage you to apply. What You ll Be Doing: Data Transformation: Use Python and PySpark to transform large datasets and build efficient data pipelines. Pipeline Creation: Work with Kafka and Debezium to create and deploy real-time data pipelines. SQL Expertise: Write and optimize complex SQL queries for data aggregation and transformation. Delta Lake & Databricks: Utilize Delta Lake and Databricks for efficient data storage and management. Collaboration: Work with cross-functional teams to ensure data is accessible, reliable, and well-organized for product teams. To Be Successful in This Role, You Should Have: Qualification: BE/BTech from a top-tier engineering institute. Experience: 5+ years of experience in the data engineering field. Must-Have Skills: Strong proficiency in Python and PySpark for data transformation. Experience with Kafka and Debezium for data pipeline creation and deployment. Excellent SQL skills, especially for complex data aggregation and transformation. Familiarity with Delta Lake and Databricks. A solid understanding of all stages of the SDLC and experience with Agile/SCRUM methodology. Good-to-Have Skills: Understanding of machine learning algorithms. Familiarity with ETL tools like Matillion or Google Data Studio. Experience with creating BI reports using tools like Looker or Tableau. Familiarity with writing APIs to extract data from databases. What You ll Find Here: Culture of Innovation: We focus on technology expertise and innovation, not maintenance projects. Our customers come to us for cutting-edge solutions. Endless Learning Opportunities: Stay ahead of the curve by exploring new advancements in your field and applying them to build better, faster, and simpler products. Talented Peers: Work alongside experienced graduates from India's top 20 engineering colleges, including IITs, NITs, and other top-tier institutes. Flexibility: We value work-life balance and offer flexible schedules, including remote work options. Great Culture: 82% of our employees recommend Talentica to their friends, according to Glassdoor. You'll love being part of our team! At Talentica, we don t just follow trends we lead them. If you re looking for a dynamic, fast-paced environment with opportunities to innovate, grow, and shape the future of technology, Talentica is the place for you. Join us and make a real difference! Qualification : BE/BTech from a top-tier engineering institute.

Tableau Developer - Job Description We are seeking a highly skilled Tableau Developer with expertise in creating impactful and user-friendly dashboards. This role involves collaborating with clients to understand their business needs and delivering data-driven solutions that adhere to UX standards. The ideal candidate will have a strong background in Tableau and SQL, with additional knowledge of data warehouses and Ad Tech being a plus. This is an excellent opportunity for professionals passionate about transforming complex data into actionable insights and maintaining high-performance dashboards. Technical and Professional Requirements: Tableau Expertise: Strong proficiency in creating Tableau dashboards that are visually appealing and effective in communicating insights. SQL Proficiency: Solid understanding of SQL for querying and manipulating data from relational databases. Data Warehouse Experience: Experience with BigQuery or similar data warehouse technologies. Ad Tech Knowledge: Experience working in the Ad Tech domain is preferred, but not mandatory. Job Responsibilities: Dashboard Creation: Collaborate with clients to gather and understand requirements, then translate those into intuitive, user-friendly dashboards using Tableau. Data Manipulation: Use SQL to query and manipulate data as needed for dashboard creation. Data Warehouse Integration: Work with data warehouse concepts and create extracts for efficient Tableau performance. Dashboard Maintenance: Manage and maintain dashboards on Tableau Server, ensuring reliability, uptime, and accessibility. Educational Requirements: Bachelor s Degree in Computer Science, Information Technology, or a related field. Qualification : Bachelors Degree in Computer Science, Information Technology, or a related field.

Position: Senior Data Engineer Location: Pune Employment Type: Full-Time Company: vConstruct (Construction Technology Company) About vConstruct vConstruct is a Pune-based construction technology company focused on leveraging data science and analytics to transform the construction industry. Our Data Science and Analytics team is a close-knit group dedicated to supporting the business with robust data infrastructure and insightful analysis. Role Overview We are seeking a highly experienced Senior Data Engineer to lead the design, development, and maintenance of scalable data pipelines and infrastructure. This role involves working closely with cross-functional teams to manage diverse data sources, ensure data integrity, and support data-driven business initiatives. Key Responsibilities Lead the design and development of scalable, high-performance data pipelines and ETL/ELT frameworks following modern data engineering best practices. Architect complex data integration workflows that unify structured, semi-structured, and unstructured data from cloud and on-premise sources. Develop robust real-time, batch, and on-demand data pipelines equipped with monitoring, alerting, and automated error handling. Collaborate with analysts, data scientists, and business leaders to create reliable data models, quality frameworks, and SLAs. Ensure optimal pipeline performance, throughput, and proactive issue resolution. Work with platform, DevOps, and architecture teams to build secure, reusable, and CI/CD-enabled data workflows aligned with enterprise standards. Enforce best practices in source control, code reviews, testing automation, and continuous delivery. Lead root cause analysis and preventive maintenance to minimize business impact from data failures. Establish standards for data modeling, transformation logic, and governance. Design and execute comprehensive testing strategies to ensure data reliability and pipeline resilience. Optimize pipeline and query performance for scalability, reliability, and cost-efficiency. Maintain detailed technical documentation including architecture diagrams, process flows, and integration specs. Facilitate discussions with business and operational teams to prioritize data initiatives and drive strategy. Qualifications 7-10 years of hands-on experience in data engineering with a track record of building scalable and secure data platforms. 5+ years of scripting experience in Python for data processing, automation, and ETL development. 4+ years experience with Snowflake, including performance tuning, security, and advanced SQL. 5+ years experience with data integration tools like Azure Data Factory, Fivetran, or Matillion. 5+ years writing complex, optimized SQL queries on large datasets. Proven experience integrating APIs, JSON, XML, and webhooks for data acquisition. Hands-on experience with cloud platforms (Azure/AWS) and orchestration tools such as Apache Airflow. Experience with CI/CD pipelines, automated testing, and code versioning tools (e.g., Git). Familiarity with dbt or similar transformation tools and modular development practices. Experience with data visualization tools like Power BI is a plus. Strong interpersonal and communication skills to lead cross-functional technical discussions. Education Bachelor s or Master s degree in Computer Science, Information Technology, or a related field. Equivalent academic and professional experience will also be considered. Qualification : Bachelors or Masters degree in Computer Science, Information Technology, or a related field

Tableau Architect Location: Pune Role Overview: We are looking for an experienced Tableau Architect to lead the design, development, and optimization of scalable data visualization solutions. The ideal candidate will bring deep expertise in Tableau, strong data architecture skills, and a passion for mentoring and guiding teams. You will play a pivotal role in delivering impactful analytics and ensuring best practices are followed across the organization. Key Responsibilities: Lead and mentor junior Tableau developers and analysts in Pune, fostering skill development and enforcing adherence to data visualization best practices. Architect, design, and implement scalable, high-performing Tableau dashboards and data models to support business analytics needs. Optimize Tableau environments to ensure efficient performance with large datasets and complex visualizations. Guide and support data integration efforts from diverse data sources into Tableau, ensuring data consistency and reliability. Conduct training sessions, hands-on workshops, and provide one-on-one mentorship to upskill team members. Collaborate with cross-functional teams including data engineers, business analysts, and IT to align on data and reporting requirements. Troubleshoot and resolve technical issues related to Tableau workbooks, data connections, and server performance. Create and maintain clear, user-friendly documentation for internal and external stakeholders, including architecture diagrams, user guides, and training materials. Technical Skills: Advanced proficiency in Tableau Desktop, Tableau Prep, and Tableau Server. Strong background in data modeling, ETL processes, and data architecture. Expertise in SQL and experience working with relational databases (e.g., SQL Server, Oracle). Hands-on experience in data integration from multiple sources and ensuring data quality. Proven ability to optimize dashboard performance for speed and responsiveness with large-scale datasets. Familiarity with cloud platforms such as AWS or Azure for data storage and analytics. Soft Skills & Additional Requirements: Experience in training and mentoring junior analysts, with a focus on building local talent in Pune. Excellent communication skills, especially when working with distributed and cross-functional teams. Strong problem-solving abilities to diagnose data and performance issues effectively. Commitment to producing high-quality documentation and reusable templates.

Job Title: Staff Data / Machine Learning Engineer Company: Druva Location: Pune, Maharashtra, India About Druva: Druva, the autonomous data security company, delivers data protection on autopilot through a 100% SaaS, fully managed platform that secures and recovers data from all threats. The Druva Data Security Cloud guarantees data availability, confidentiality, and integrity providing customers with autonomous protection, rapid incident response, and guaranteed data recovery. Trusted by over 6,000 customers worldwide including 65 of the Fortune 500 Druva safeguards business-critical data in today s connected world. Backed by over $350M in venture capital, Druva protects more than 200 PB of data globally and offers a $10 million Data Resiliency Guarantee against cyber threats. The Role & Team: Join Druva s Business Intelligence team, where data drives key insights and fuels operational and strategic decisions. As a Staff Data/Analytics/ML Engineer, you will lead the development of data-to-insights recommendation engines and drive collaboration across teams to deliver impactful, data-driven solutions. This is a high-impact role working alongside expert engineers and product leaders, leveraging industry-leading data platforms and tools. What You ll Do: Bridge the gap between data engineering, analytics, and machine learning to unlock actionable business insights. Collaborate cross-functionally with Product, Engineering, GTM, and Customer Success teams to build data-driven solutions that enhance decision-making and business outcomes. Design, build, and maintain scalable data pipelines and infrastructure supporting analytics, machine learning, and operational workflows. Develop and optimize data models for efficient analytics and reporting across large datasets. Lead feature engineering, model training, and deployment pipelines for real-time and batch ML/AI applications. Drive architectural improvements in data governance, observability, and platform scalability. Evaluate and implement cutting-edge data tools and platforms including Reverse ETL, MLOps, and DataOps frameworks. Mentor and guide data engineers, analysts, and ML practitioners, fostering technical excellence and collaboration. Translate complex business requirements into technical deliverables, prioritizing initiatives that maximize impact. What We Are Looking For: Bachelor s or Master s degree in Computer Science, Data Science, Engineering, Statistics, or a related field. 7+ years experience spanning data engineering, analytics engineering, and machine learning with a strong technical foundation in all three areas. Expertise in modern data stacks: Snowflake, dbt, Airflow, Spark, and cloud platforms (AWS, GCP, Azure). Proficiency with BI and analytics tools such as Looker, Sigma, Tableau, Power BI, or equivalents. Strong skills in SQL, Python, and distributed data processing frameworks (Spark, Dask, etc.). Experience designing and maintaining data pipelines, ETL/ELT workflows, and data transformations for analytics and ML use cases. Familiarity with ML frameworks like TensorFlow, PyTorch, Scikit-learn, and MLOps lifecycle management. Deep knowledge of data modeling, architecture, and governance best practices. Proven problem-solver who thrives in ambiguity and designs robust data solutions. Experience working in Agile environments with strong prioritization and collaboration skills. Excellent communication skills, capable of simplifying complex technical topics for non-technical stakeholders. Bonus Points For: Experience with Generative AI, LLMs, and integrating AI into business workflows. Knowledge of streaming architectures (Kafka, Kinesis, Pub/Sub) and real-time analytics. Familiarity with Data Contracts, Data Quality frameworks, or Data Mesh architectures. Experience with Reverse ETL tools such as Salesforce, Census, Hightouch, or Segment for operational analytics. If you re passionate about driving data innovation at scale and want to work in a dynamic environment protecting the world s critical data, Druva invites you to join our team! Qualification : Bachelors or Masters degree in Computer Science, Data Science, Engineering, Statistics, or a related field.

Job Title: Senior AWS Data Engineer Experience: 5+ years Location: Kharadi, Pune Role & Responsibilities Design, develop, and optimize scalable data pipelines and ETL workflows using AWS services such as AWS Glue, Lambda, and Step Functions. Implement and maintain data lakes and data warehouses on AWS platforms including S3, Redshift, and Athena. Develop and manage both real-time and batch data processing solutions. Ensure data security, governance, and compliance following industry best practices. Collaborate with data scientists, analysts, and business stakeholders to deliver actionable, data-driven solutions. Optimize query performance and troubleshoot data issues proactively. Automate infrastructure deployment using Infrastructure as Code (IaC) tools like Terraform or CloudFormation. Implement monitoring, logging, and alerting frameworks using AWS CloudWatch, Prometheus, or equivalent tools. Mentor junior engineers and actively contribute to data engineering best practices and standards. Required Skills & Qualifications 5+ years of experience in data engineering, with at least 3 years focused on AWS cloud services. Strong hands-on experience with AWS services including Glue, Redshift, S3, Lambda, EMR, and Athena. Proficient in SQL, Python, and Spark for data processing and analytics. Experience designing and implementing ETL/ELT pipelines. Familiarity with DevOps practices, CI/CD pipelines, and automation tools such as Terraform, CloudFormation, and Jenkins. Deep understanding of data governance, security protocols, and compliance frameworks. Experience with real-time data streaming and processing technologies such as Kafka, Kinesis, or similar tools. Knowledge of database optimization techniques including indexing and partitioning.

In this role, you will join one of IBM Consulting's Client Innovation Centers (Delivery Centers), where we deliver deep technical expertise and industry insight to both public and private sector clients globally. Our centers provide locally based skills to drive the innovation and adoption of new technologies. A career in IBM Consulting offers long-term relationships and close collaboration with clients worldwide. You ll work alongside visionaries across multiple industries to improve hybrid cloud and AI journeys for some of the world s most innovative and valuable companies. Your ability to accelerate impact and foster meaningful change is enabled by IBM's robust technology platforms, including software and Red Hat. Curiosity and a constant quest for knowledge are key to success, allowing you to challenge the norm, think creatively, and produce groundbreaking solutions for our clients. This environment promotes long-term growth, with ample career development opportunities. Your Role and Responsibilities: As a Big Data Engineer, you will be responsible for the design, maintenance, evaluation, and testing of big data solutions. Your key responsibilities include: Designing, building, optimizing, and supporting data models and ETL processes based on client business requirements. Building, deploying, and managing data infrastructure that can support the needs of a rapidly growing, data-driven organization. Coordinating data access and security to ensure seamless data access for data scientists and analysts when needed. Developing data pipelines/workflows for Source to Target and implementing solutions to address client needs. Ensuring high performance, scalability, and reliability of big data solutions. Required Technical and Professional Expertise: 3-5 years of experience working with Big Data technologies (Hadoop, Spark, HBase, Hive). Proficient in Scala and Python for data engineering tasks, including writing Pyspark programs for data analysis. Good working experience with Python to develop a custom framework for rule generation (similar to a rules engine). Developed Python code to gather data from HBase and implemented solutions using Pyspark. Strong knowledge of Apache Spark, including working with DataFrames and RDDs for business transformations. Experience using Hive Context objects for read/write operations in Hive. Preferred Technical and Professional Expertise: Understanding of DevOps principles and practices. Experience in building scalable end-to-end data ingestion and processing solutions. Familiarity with AWS services (e.g., S3, Athena, DynamoDB, Lambda, Jenkins). Proficiency in object-oriented and/or functional programming languages such as Python, Java, and Scala. As a Big Data Engineer at IBM Consulting, you will have the opportunity to work with cutting-edge technologies, influence industry transformations, and drive meaningful change for a variety of clients. IBM fosters a culture of continuous learning and career development, giving you the resources and support to grow in your role and within the company. This role offers the chance to work on complex, high-impact projects and collaborate with a global team of industry leaders.

Job Title: Java Architect Integration Engineering Location: Pune Team: Integration Engineering About Anchanto Anchanto is a global SaaS technology company that powers eCommerce automation and logistics solutions for enterprises and 3PLs. Our Integration Engineering team develops scalable, high-performance integrations connecting our products with marketplaces, ERPs, WMS, OMS, and other enterprise systems across the globe. We are looking for a seasoned Java Architect to lead the design, development, and delivery of our integration framework, guide engineering best practices, and define the technical vision for integrations that serve businesses worldwide. As a key driver of innovation, you will also champion the adoption of AI tools to enhance productivity, code quality, and development processes. The Role As a Java Architect Integration Engineering, you will: Define integration architecture standards, design patterns, and development best practices to ensure scalable and robust solutions. Lead the end-to-end design and development of integrations with a variety of internal and external systems, utilizing Spring Boot and modern Java frameworks. Collaborate closely with customers to understand their integration requirements, business processes, and objectives. Work with the solution team to document and finalize integration designs, architecture, and data mappings. Champion AI-driven development practices by integrating tools like Cursor AI and other AI-assisted coding solutions into the team s workflow. Partner with Product Management, Pre-Sales, and Implementation teams to translate business needs into actionable technical designs. Guide and mentor engineers, fostering a culture of technical excellence, innovation, and AI adoption within the integration team. Play a hands-on role in building Proof-of-Concepts (POCs), solving complex integration challenges, and driving mission-critical deliveries. Collaborate with leadership to define the roadmap for integration products and platform capabilities. Key Responsibilities Architect and oversee the implementation of integration solutions, leveraging Spring Boot, REST APIs, messaging systems, and event-driven architectures. Define and enforce integration design patterns (e.g., EAI, ESB, SOA, pub/sub, ETL) to ensure reusability, scalability, and maintainability. Lead technical discovery sessions with customers to understand integration requirements and create clear, actionable solution blueprints. Collaborate with internal solution architects, product managers, and customer success teams to ensure integration feasibility and alignment with business objectives. Introduce and evaluate AI-powered development tools, integrating solutions like Cursor AI, GitHub Copilot, and others into the engineering process to improve efficiency, code quality, and documentation. Promote a culture of AI-first problem solving in architecture design, code reviews, and automation within the team. Establish frameworks and automation to accelerate the onboarding of new integrations. Evaluate and recommend technologies, tools, and cloud services (primarily AWS) to optimize integration performance and scalability. Review solution designs and code to ensure adherence to architectural principles and coding standards. Support pre-sales activities with architecture diagrams, integration approaches, and technical feasibility assessments. Lead technical discussions with external partners, vendors, and enterprise customers to ensure alignment on integration strategies and solutions. Required Skills & Experience 15+ years of software development experience, with at least 3+ years as an Architect. Strong hands-on expertise in Java (Java 8+), Spring Boot, and microservices architecture. Solid understanding of integration patterns, enterprise architecture, and middleware solutions. Experience with REST APIs, messaging systems (Kafka, RabbitMQ), and data transformation (e.g., JSON, XML, CSV). Proficiency with AWS cloud services relevant to integration, such as API Gateway, Lambda, SQS/SNS, ECS, RDS, etc. Familiarity with CI/CD pipelines, Git workflows, branching/merging strategies, and code quality tools. Linux proficiency and experience with shell scripting. Experience building connectors/adapters for ERP, WMS, OMS, CRM, or eCommerce platforms is a plus. Exposure to integration tools such as TIBCO, Informatica, SnapLogic, WebMethods, or MuleSoft is advantageous. Strong problem-solving skills, with the ability to think out-of-the-box and adapt to evolving priorities. Excellent communication and leadership skills, with the ability to influence teams across functions. Bonus / Good to Have Experience in AI-assisted development, especially using tools like Cursor AI, GitHub Copilot, Tabnine, or similar. Familiarity with prompt engineering and integrating AI APIs (e.g., OpenAI, Anthropic) into developer tooling or backend services. Understanding of ML Ops principles and how AI models can be integrated into enterprise applications. A proven track record of evangelizing AI adoption in engineering teams to enhance productivity and foster innovation. Work on global integration projects for a leading SaaS platform serving top-tier retailers, brands, and logistics companies. Lead impactful projects utilizing cutting-edge Java, Spring Boot, AWS, and AI-driven development tools. Collaborate with a globally distributed product and engineering team in an innovation-driven environment. Contribute to the future of Anchanto s integration platform, shaping scalable and robust solutions for enterprises worldwide.

Python Developer / Senior Developer (Automated Testing) Location: Pune Experience: 5 10 years Qualifications: B.E. in IT/Computer Science Skills & Technologies Required: Strong experience in writing Python scripts with solid debugging skills Proficiency in Object-Oriented Programming (OOP) in Python Hands-on experience with FastAPI, HTML, CSS, and SQL Experience with Python Unit Testing Framework Familiarity with MS Windows UI Automation (e.g., PyWinAuto or similar tools) Strong analytical skills and ability to understand requirements Excellent design and coding skills; ability to transform requirements into efficient, functional code Strong English communication skills Nice-to-Have: Experience in designing automated test frameworks from scratch Web automation expertise (e.g., Selenium or other tools) Familiarity with PyWinAuto, PyQt, REST APIs, JSON, XML, Jenkins, Git Experience with project or defect management tools Familiarity with version control systems like GIT/SVN Development experience using Eclipse IDE or other equivalent IDEs Behavioral Competencies Collaborative and a strong team player Willingness to learn and adapt to new technologies Self-motivated with a proactive attitude Capable of working with minimal supervision Ability to guide and supervise junior team members Take full ownership of tasks and responsibilities Role & Responsibilities Design, develop, and maintain automated test scripts using Python for a variety of applications Work on UI automation for Windows platforms (using tools like PyWinAuto) Build and enhance automated testing frameworks from the ground up Collaborate with cross-functional teams to understand requirements and deliver high-quality solutions Participate in writing unit tests, integration tests, and ensuring the stability of developed code Take ownership of tasks and ensure timely delivery of assigned work Guide and mentor junior developers, providing technical expertise and direction Qualification : B.E. in IT/Computer Science

Data Engineer BI Analytics & DWH Location: Pune About Calfus At Calfus, we develop cutting-edge AI agents and software products that enable businesses to unlock the full potential of AI transforming operations, boosting revenue, and driving innovation. From startups to global enterprises, our clients trust us to deliver engineering excellence. Our teams have built ERP and cloud solutions that integrate seamlessly with core business systems, streamlining manual processes and empowering teams to focus on high-impact work. As one of the fastest-growing companies in our sector, we thrive on collaboration, speed, and innovation. If you re driven by impact and love working in fast-paced environments, we want to hear from you. About the Role We re looking for a Data Engineer with 3 4 years of experience to join our Business Intelligence & Data Warehouse team. In this role, you'll be responsible for building robust data pipelines, designing scalable data models, and supporting analytics and reporting capabilities. You will work with modern tools like Azure Data Factory, Databricks, and Snowflake, and help deliver reliable, performant data infrastructure for internal and client-facing initiatives. What You ll Do ETL/ELT Development Build and maintain efficient ETL/ELT pipelines using Azure Data Factory, Databricks, or equivalent. Ingest and consolidate data from multiple sources into data warehouses or data lakes. Data Modeling & Warehousing Design and implement relational and dimensional models suited for business reporting. Work with databases such as Snowflake, Redshift, Postgres, or SQL Server. SQL & Database Engineering Write performant SQL queries, stored procedures, and scripts for data transformation. Implement complex joins and aggregations for analytical workloads. BI & Visualization Support Collaborate with business users to support reporting in Power BI or Tableau. Enable data-driven decisions through accessible and accurate data models. Performance & Data Quality Monitor pipeline jobs for failures, performance issues, and delays. Apply data validation checks to ensure the integrity and accuracy of data. Bachelor s degree in Computer Science, Data Engineering, Information Systems, or related field. 3 4 years of hands-on experience in data engineering, with strong skills in ETL/ELT, SQL, and data modeling. Experience with cloud platforms (Azure, AWS) and tools like: Azure Data Factory Databricks SQL Server, Postgres, Redshift, or Snowflake Basic understanding of Python for scripting and automation. Familiarity with file formats like JSON, Parquet, and CSV. Exposure to BI tools such as Tableau or Power BI (nice to have). Benefits @ Calfus Medical, group, and parental insurance Provident fund & gratuity Birthday leave and wellness support High-growth, high-impact environment Diversity & Inclusion Calfus is proud to be an Equal Opportunity Employer. We believe that diversity drives innovation, and we are committed to fostering an inclusive, supportive, and respectful environment for all. Qualification : Bachelors degree in Computer Science, Data Engineering, Information Systems, or related field

Position: Data Science Engineer Location: Pune Work Type: Full Time Minimum Experience: 3+ Years Top Skills: AI Applications, Python, Machine Learning, Deep Learning, NLP/NLG, Computer Vision, Object Detection About the Role We re looking for an experienced Data Science Engineer to join our Data & AI Practice. You will work on building and deploying intelligent, enterprise-grade AI solutions using the latest in Machine Learning, Deep Learning, Computer Vision, and Generative AI technologies. This is a role for engineers who thrive on ownership, innovation, and collaboration with the opportunity to mentor, lead, and make a real business impact through data. What You Will Work On Lead the design and development of AI/ML models and applications. Work with Product Management to translate business use cases into technical requirements and AI solutions. Develop and deploy Computer Vision, NLP, Deep Learning, and multi-modal GenAI applications. Perform dataset selection, feature engineering, and optimize data representation techniques. Mentor junior team members and contribute to team growth. Continuously explore and adopt the latest advancements in AI/ML, CV, NLP, and LLMs. Required Skills & Experience 3+ years of full lifecycle experience in building and deploying AI/ML applications. Proficiency in Python and core libraries: Pandas, NumPy, SciPy, Scikit-learn, NLTK. Hands-on experience with ML/DL/NLP frameworks: TensorFlow, Keras, PyTorch, HuggingFace Transformers, spaCy, CoreNLP. Deep knowledge in Linear Algebra, Probability, and Statistics. Strong foundation in Computer Vision: image classification, object detection (YOLO, Mask/Faster R-CNN), segmentation (semantic, instance, panoptic). Experience in Generative AI/LLMs, including Prompt Engineering, LangChain, LlamaIndex, Vector Search, Function Calling, Agentic Frameworks, and Document Processing. Exposure to cloud platforms: AWS (preferred), Azure, or GCP. Experience building RESTful APIs using frameworks like FastAPI, with async programming. Familiarity with CI/CD, Docker/Kubernetes, and scalable cloud-native deployments. Excellent problem-solving, analytical, and communication skills. Bonus Skills (Nice to Have) Experience in Agile/Scrum methodologies. Knowledge of MLOps/LLMOps: model versioning, tuning, deployment, monitoring. Experience with data visualization tools for analytics storytelling. Startup culture with autonomy, agility, and small team dynamics. Work on emerging AI/ML technologies across diverse real-world applications. Remote work options for high-performing team members. Competitive compensation with family-friendly benefits. Structured career progression based on performance and innovation. About Cognologix At Cognologix, we help businesses redefine their digital future through innovation and data-centric solutions. Our focus on cloud-native architectures, AI-driven intelligence, and automation-first thinking empowers enterprises to achieve meaningful transformation.

Job Title: Data Architect Cloud, Big Data & Scalable Data Engineering Location: Pune, India Experience Level: 7+ Years Job Type: Full-Time | On-site / Hybrid (Specify your policy) Job Summary We are seeking a visionary Data Architect based in Pune to lead our data engineering practice within product engineering services. This strategic role involves shaping the organization's data architecture, defining best practices for data lakes and data warehouses, and guiding architectural decisions across data engineering initiatives. If you're passionate about building cloud-based, future-ready data platforms using tools like Databricks, Snowflake, AWS, Azure, and Google BigQuery, this is your opportunity to make a significant impact. Key Responsibilities Design and implement enterprise-wide data architecture strategies, including data modeling, data governance, and integration frameworks. Lead the development of scalable data lakes, data warehouses, and data marts, especially using Databricks and medallion architecture. Build and optimize robust ETL/ELT data pipelines and real-time streaming solutions. Collaborate with security teams to implement strong data security and compliance practices, including GDPR and CCPA regulations. Standardize data governance policies and drive data quality across platforms and business units. Work closely with data engineers to implement high-performance cloud-native storage solutions using Azure ADLS Gen2, AWS S3, etc. Evaluate and introduce innovative data platforms, tools, and frameworks to enhance engineering capabilities. Provide technical leadership and mentorship to engineering teams across all data initiatives. Translate business data needs into technical architectures and create detailed documentation (e.g., ERDs, data flow diagrams, integration maps). Required Qualifications Bachelor s or Master s degree in Computer Science, Information Systems, or a related field. 7+ years of experience in data architecture, data engineering, or enterprise data solutions. Strong command of data modeling techniques (e.g., dimensional, data vault). Experience with relational databases (e.g., Oracle, SQL Server, PostgreSQL) and NoSQL databases (e.g., MongoDB, Cassandra). Hands-on expertise with Databricks, Snowflake, Amazon Redshift, or Google BigQuery. Knowledge of cloud platforms such as AWS, Azure, or GCP and their data ecosystems. Proficiency in SQL and at least one programming language (Python, Java, Scala). Familiarity with ETL/ELT tools, data pipeline orchestration (e.g., Airflow), and real-time streaming (e.g., Kafka, Flink). Solid understanding of data security, compliance, and data governance frameworks. Experience with Power BI, Tableau, or similar tools from an architectural standpoint. Preferred Qualifications Exposure to machine learning architectures and MLOps pipelines. Understanding of graph databases (e.g., Neo4j) and semantic data layers. Familiarity with data mesh, data fabric, and modern data management paradigms. Hands-on experience with real-time data streaming frameworks like Apache Flink, Kafka, or Spark Streaming. Be a key architect in shaping enterprise-wide data strategies and infrastructure. Collaborate with top-tier engineers and data scientists in India s growing tech hub. Access the latest cloud, AI, and big data tools and work on high-impact, global projects. Thrive in a culture that encourages innovation, ownership, and continuous learning. Qualification : Bachelors or Masters degree in Computer Science, Information Systems, or a related field.