4689 Extract Jobs - Page 46

At Iron Mountain we know that work, when done well, makes a positive impact for our customers, our employees, and our planet. That’s why we need smart, committed people to join us. Whether you’re looking to start your career or make a change, talk to us and see how you can elevate the power of your work at Iron Mountain. We provide expert, sustainable solutions in records and information management, digital transformation services, data centers, asset lifecycle management, and fine art storage, handling, and logistics. We proudly partner every day with our 225,000 customers around the world to preserve their invaluable artifacts, extract more from their inventory, and protect their data privacy in innovative and socially responsible ways. Are you curious about being part of our growth stor y while evolving your skills in a culture that will welcome your unique contributions? If so, let's start the conversation. As attached Category: Operations Group Iron Mountain is a global leader in storage and information management services trusted by more than 225,000 organizations in 60 countries. We safeguard billions of our customers’ assets, including critical business information, highly sensitive data, and invaluable cultural and historic artifacts. Take a look at our history here. Iron Mountain helps lower cost and risk, comply with regulations, recover from disaster, and enable digital and sustainable solutions, whether in information management, digital transformation, secure storage and destruction, data center operations, cloud services, or art storage and logistics. Please see our Values and Code of Ethics for a look at our principles and aspirations in elevating the power of our work together. If you have a physical or mental disability that requires special accommodations, please let us know by sending an email to accommodationrequest@ironmountain.com. See the Supplement to learn more about Equal Employment Opportunity. Iron Mountain is committed to a policy of equal employment opportunity. We recruit and hire applicants without regard to race, color, religion, sex (including pregnancy), national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law. To view the Equal Employment Opportunity is the Law posters and the supplement, as well as the Pay Transparency Policy Statement, CLICK HERE Requisition: J0086733 Show more Show less

Job Title: Data Migration Specialist – EWM 9.5 to Decentralized EWM on SAP S/4HANA Location: Pune | Experience: 5+ Years Job Summary: We are seeking a skilled Data Migration Specialist to lead the migration from SAP EWM 9.5 Business Suite to decentralized EWM on SAP S/4HANA. The role involves planning, executing, and validating the entire migration process, ensuring data integrity and seamless system integration. Key Responsibilities: Develop and execute a comprehensive data migration plan. Extract, transform, and load data from EWM 9.5 to S/4HANA EWM. Prepare systems, ensure ERP integration, and conduct validation tests. Collaborate with cross-functional teams and provide post-migration support. Document all migration processes and data mappings. Requirements: 5+ years of data migration experience, with 2+ years in SAP EWM and S/4HANA. Proficient in ETL processes and SAP Migration Cockpit. Strong understanding of EWM and S/4HANA architecture. Excellent problem-solving and communication skills. Preferred: SAP Certification (EWM or S/4HANA) Experience with SAP Fiori/UI5 and SAP BTP ABAP environment Show more Show less

Arista Networks is an industry leader in data-driven, client-to-cloud networking for large data center, campus and routing environments. Arista is a well-established and profitable company with over $7 billion in revenue. Arista’s award-winning platforms, ranging in Ethernet speeds up to 800G bits per second, redefine scalability, agility, and resilience. Arista is a founding member of the Ultra Ethernet consortium. We have shipped over 20 million cloud networking ports worldwide with CloudVision and EOS, an advanced network operating system. Arista is committed to open standards, and its products are available worldwide directly and through partners. At Arista, we value the diversity of thought and perspectives each employee brings. We believe fostering an inclusive environment where individuals from various backgrounds and experiences feel welcome is essential for driving creativity and innovation. Our commitment to excellence has earned us several prestigious awards, such as the Great Place to Work Survey for Best Engineering Team and Best Company for Diversity, Compensation, and Work-Life Balance. At Arista, we take pride in our track record of success and strive to maintain the highest quality and performance standards in everything we do. Job Description Who You'll Work With You will collaborate closely with a diverse group of stakeholders across technical and non-technical teams. Your role will be key in bridging business needs with technical solutions, ensuring seamless support and delivery of Salesforce-related services. This position offers the opportunity to work in a dynamic environment where cross-functional collaboration is essential to driving operational excellence and user satisfaction. What You’ll Do Should be ready for 24*7 Support Project (Working in shifts). Provide resolutions to support tickets(L2&L3) to the user issues within SLA. Handle change requests in SFDC. Help users develop or fine-tune reports so they yield meaningful metrics. Set up and terminate users, assign roles and profiles to reflect organizational changes or users’ new duties. Expand or refine sharing rules and access privileges so records can be properly viewed and manipulated. Monitor time-based workflow and scheduled APEX queues to make sure there are no unexpected entries. Examine SFDC error and debug logs for any surprises. For any external application that synchronizes data with SFDC, look at its error logs to see if a new error pattern has developed. Look at the login history table to spot any user lockouts, excessive login errors, and unexpected IP addresses. Deal with SSO, two-factor authentication, and certificate problems. Adding new white-listed IP addresses. Archive or purge documents (in all four places where SFDC hides them), emails, and tasks to control data storage usage and adhere to company’s document/email retention policies. Qualifications Skills Required Should be able to map the business requirement to sales cloud/service cloud features and functionality. Very good understanding of cases, quotes, products, opportunities, orders, accounts, contacts and communities in SFDC. Also , very good Knowledge/understanding of OOB features like workflow rules, validation rules, process builder, flows Should be able to engage cross-functional teams to resolve the issues related to Service/Sales Cloud in SFDC. Hands on experience in reports/dashboards. Solid understanding of users, profiles, roles, access and SFDC security model. Should be able to develop triggers, apex classes, lightning components, flows, process builders and workflows. Working knowledge of lightning components(LWC and Aura) Should be able to write clear documentation on user issues and project tasks. Should work independently with very less supervision. Good MS Excel skills to analyse the pattern in large data volume Able to load/extract data using Workbench and Data Loader Experience Required: 2-4 Years Area Of Expertise: Sales Cloud & Service Cloud, Good to have Community Cloud Education: B/Tech OR MCA Certifications(Any of 2) : Salesforce Certified Administrator, Sales Cloud Consultant, Service Cloud Consultant, Salesforce Certified Platform Developer Additional Information Arista stands out as an engineering-centric company. Our leadership, including founders and engineering managers, are all engineers who understand sound software engineering principles and the importance of doing things right. We hire globally into our diverse team. At Arista, engineers have complete ownership of their projects. Our management structure is flat and streamlined, and software engineering is led by those who understand it best. We prioritize the development and utilization of test automation tools. Our engineers have access to every part of the company, providing opportunities to work across various domains. Arista is headquartered in Santa Clara, California, with development offices in Australia, Canada, India, Ireland, and the US. We consider all our R&D centers equal in stature. Join us to shape the future of networking and be part of a culture that values invention, quality, respect, and fun. Show more Show less

Job Summary Skill Name: Power BI with GCP developer Experience : 7 - 10 yrs Mandatory Skills : Power BI + GCP(Big Query) Required Skills & Qualifications: Power BI Expertise: Strong hands-on experience in Power BI development, including report/dashboard creation, DAX, Power Query, and custom visualizations. Semantic Model Knowledge: Proficiency in building and managing semantic models within Power BI to ensure consistency and user-friendly data exploration. GCP Tools: Practical experience with Google Cloud Platform tools, particularly BigQuery, Dataflow, and Cloud Storage, for managing large datasets and data integration. ETL Processes: Experience in designing and managing ETL (Extract, Transform, Load) processes using GCP services. SQL & Data Modeling: Solid skills in SQL and data modeling, particularly for BI solutions and creating relationships between different data sources. Cloud Data Integration: Familiarity with integrating cloud-based data sources into Power BI, including knowledge of best practices for handling cloud storage and data pipelines. Data Analysis & Troubleshooting: Strong problem-solving abilities, including diagnosing and resolving issues in data models, reports, or data integration pipelines. Communication & Collaboration: Excellent communication skills to work effectively with cross Show more Show less

Responsibilities- 1. Generate analytics reports from various campaigns and extract actionable insights to optimize performance. 2. Contribute to developing and implementing campaign strategies for clients, ensuring alignment with their goals and objectives. 3. Execute campaigns on platforms such as HubSpot, Google Ads, Facebook, LinkedIn, etc., following best practices and guidelines. 4. Monitor campaign performance, identify areas for improvement, and make recommendations for optimization. 5. Stay updated on industry trends, platform updates, and emerging technologies to inform campaign strategies and tactics. Qualifications- 1. Bachelor's degree in Marketing, Business, or a related field. 2. 1-3 years of experience in Performance Marketing or related roles is required. 3. Strong analytical skills with the ability to interpret data and draw meaningful conclusions. 4. Familiarity with digital marketing platforms such as HubSpot, Google Ads, Facebook Ads Manager, LinkedIn Ads, etc. 5. Excellent communication skills, both written and verbal. 6. Detail-oriented with strong organizational skills and the ability to manage multiple tasks simultaneously. 7. Proactive attitude with a willingness to learn and adapt in a fast-paced environment. Salary- upto 4LPA Working Days- 5 Days (Monday to Friday) Timings- Flexible Show more Show less

Job Description Bachelor’s degree in computer science or data analytics 2+ years of professional software development experience Comfortable in a collaborative, agile development environment Proven experience in using data to drive insights and influence business decisions. Strong expertise in Python, particularly for solving data analytics-related challenges. Hands-on experience with data visualization tools and techniques (e.g„ Matplotlib, Tableau, PowerBI, or similar). Solid understanding of data pipelines, analysis workflows, and process automation. Strong problem-solving skills with an ability to work in ambiguous, fast-paced environments Responsibilities Design, develop, and maintain data analytics tooling to monitor, analyze, and improve system performance and stability. Use data to extract meaningful insights and translate them into actionable business decisions. Automate processes and workflows to enhance performance and customer experience. Collaborate with cross-functional teams (engineering, product, operations) to identify and address critical issues using data. Create intuitive and impactful data visualizations that simplify complex technical problems. Continuously evolve analytics frameworks to support real-time monitoring and predictive capabilities. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

Job Description Bachelor’s degree in computer science or data analytics 2+ years of professional software development experience Comfortable in a collaborative, agile development environment Proven experience in using data to drive insights and influence business decisions. Strong expertise in Python, particularly for solving data analytics-related challenges. Hands-on experience with data visualization tools and techniques (e.g„ Matplotlib, Tableau, PowerBI, or similar). Solid understanding of data pipelines, analysis workflows, and process automation. Strong problem-solving skills with an ability to work in ambiguous, fast-paced environments Responsibilities Design, develop, and maintain data analytics tooling to monitor, analyze, and improve system performance and stability. Use data to extract meaningful insights and translate them into actionable business decisions. Automate processes and workflows to enhance performance and customer experience. Collaborate with cross-functional teams (engineering, product, operations) to identify and address critical issues using data. Create intuitive and impactful data visualizations that simplify complex technical problems. Continuously evolve analytics frameworks to support real-time monitoring and predictive capabilities. Qualifications Career Level - IC3 About Us As a world leader in cloud solutions, Oracle uses tomorrow’s technology to tackle today’s challenges. We’ve partnered with industry-leaders in almost every sector—and continue to thrive after 40+ years of change by operating with integrity. We know that true innovation starts when everyone is empowered to contribute. That’s why we’re committed to growing an inclusive workforce that promotes opportunities for all. Oracle careers open the door to global opportunities where work-life balance flourishes. We offer competitive benefits based on parity and consistency and support our people with flexible medical, life insurance, and retirement options. We also encourage employees to give back to their communities through our volunteer programs. We’re committed to including people with disabilities at all stages of the employment process. If you require accessibility assistance or accommodation for a disability at any point, let us know by emailing accommodation-request_mb@oracle.com or by calling +1 888 404 2494 in the United States. Oracle is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability and protected veterans’ status, or any other characteristic protected by law. Oracle will consider for employment qualified applicants with arrest and conviction records pursuant to applicable law. Show more Show less

About the role: At Investorsync , we’re building the future of investor-startup matchmaking . Our platform connects high-potential startups with venture capitalists through smarter, AI-driven dealflow infrastructure. We're backed by cutting-edge tech and deep market insights — and we're just getting started. We’re looking for a Private Equity Analyst to help bridge the gap between founder profiles and investor mandates , particularly for later-stage and growth equity rounds. You’ll build models, parse through portfolios, and deliver actionable investor-fit insights. What you will do: Analyse and benchmark late-stage startup metrics for investor-readiness Research PE firms, funds, and exits to enrich our CRM intelligence layer Create and optimize investor lists based on sector, check size, and strategy Track M&A activity and support warm intros to relevant investors What we are looking for? 1–2 years of experience in PE, IB, consulting, or corporate strategy Fluency in financial modeling and private market transaction workflows Ability to work with minimal data and extract structured insights Bonus: Understanding of buyout funds, roll-up strategies, or fund-of-funds Why join us? Influence how founders prepare for late-stage and strategic capital Learn the inner workings of PE decision-making High learning curve in investor strategy, fund behavior, and market mapping Show more Show less

Job Description In this role you'll be responsible for building machine learning based systems and conduct data analysis that improves the quality of our large geospatial data. You’ll be developing NLP models to extract information, using outlier detection to identifying anomalies and applying data science methods to quantify the quality of our data. You will take part in the development, integration, productionisation and deployment of the models at scale, which would require a good combination of data science and software development. Responsibilities - Development of machine learning models - Building and maintaining software development solutions - Provide insights by applying data science methods - Take ownership of delivering features and improvements on time Must-have Qualifications - 5+ years experience - Senior data scientist preferable with knowledge of NLP - Strong programming skills and extensive experience with Python - Professional experience working with LLMs, transformers and open-source models from HuggingFace - Professional experience working with machine learning and data science, such as classification, feature engineering, clustering, anomaly detection and neural networks - Knowledgeable in classic machine learning algorithms (SVM, Random Forest, Naive Bayes, KNN etc). - Experience using deep learning libraries and platforms, such as PyTorch - Experience with frameworks such as Sklearn, Numpy, Pandas, Polars - Excellent analytical and problem solving skills - Excellent oral and written communication skills Extra Merit Qualifications - Knowledge in at least one of the following: NLP, information retrieval, data mining - Ability to do statistical modeling and building predictive models - Programming skills and experience with Scala and/or Java Show more Show less

We are looking for a Azure Data Engineer with a driving passion to ensure that our customers have the most pleasant experience using our platform.This position will directly contribute to the WoW customer experience by consistently delivering the best quality of work. Our ideal candidate enjoys a work environment that requires strong problem solving skills and independent self-direction, coupled with an aptitude for team collaboration and open communication. Title: Azure Data Enginee rLocation: Remote Shift: 2:00 PM-11: 00 PM IS T Please note : This is pure Azure specific role, if your expertise is into AWS/GCP. Please avoid to apply for this rol e. Key Responsibilit iesDesign and implement robust data pipelines usi ng Azure Data Fact ory, ensuring seamless data flow across enterprise syste ms.Le ad data migrat ion initiatives, translating complex business requirements into efficient and scalable ETL process es.Architect and optimi ze Azure Data L ake solutions to support scalable storage and advanced analytics for big data workloa ds.Develop high-performan ce data transformation scri pts usi ng Pyt hon a nd PySp ark, enhancing data processing efficien cy.Write compl ex SQL quer ies and stored procedures to extract actionable insights from diverse data sourc es.Troubleshoot data integration issues and optimize system performance using advanc ed problem-solv ing techniqu es.Collaborate with cross-functional teams to align data engineering solutions with business objectives, demonstrating strong ownership and communication skil ls.Stay up to date with emergi ng Azure technolog ies and implement innovative solutions, embodying a continuous learning minds et.Deliver data-driven insights through innovati ve data model ing techniques to support informed decision-maki ng.Mentor junior engine ers, promoting a culture of excellence and continuous improvement in data engineering practic es.Foundational Ski llsAzure Data Fact ory: Proven expertise in designing, implementing, and managing scalable data integration workflo ws.Data Migrat ion: Successful track record in planning and executing large-scale migrations with a focus on data integrity and minimal downti me.Azure Data L ake: Deep understanding of architecture and best practices for scalable data storage and processi ng.Pyt hon: Strong programming skills for data manipulation, automation, and engineering workflo ws.PySp ark: Hands-on experience in distributed data processing for efficient big data handli ng. SQL: Advanced skills in query writing, data manipulation, and performance tuning across multiple database platfor ms.Analytical Think ing: Exceptional ability to resolve complex engineering challenges with scalable, efficient solutio ns. About Techolut ion:Techolution is a leading innovation consulting company on track to become one of the most admired brands in the world for "innovation done right". Our purpose is to harness our expertise in novel technologies to deliver more profits for our enterprise clients while helping them deliver a better h umanexperience for the communities they serve. With that, we are now fully committed to helping our clients build the enterprise of tomorrow by making the leap from Lab Grade AI to Real World AI. In 2019, we won the prestigious Inc. 500 Fastest-Growing Companies in America award, only 4 years after its formation. In 2022, Techolution was honored with the “Best-in-Business” title by Inc. for “Innovation Done Right”. Most recently, we received the “AIConics” trophy for being the Top AI Solution Provider of the Year at the AI Summit in New Y ork.Let’s give you more insig hts!One of our amazing products with Artificial Intellige nce:1. https://faceopen.co m / : Our proprietary and powerful AI Powered user identification system which is built on artificial intelligence technologies such as image recognition, deep neural networks, and robotic process automation. (No more touching keys, badges or fingerprint scanners ever aga in!)Some videos you wanna wa tch!Life at Techolu tionGoogleNext 2023Ai4 - Artificial Intelligence Conferences 2023WaWa - Solving Food Wast age Saving lives - Brooklyn Hosp italInnovation Done Right on Google C loudTecholution featured on Worldwide Business with KathyIre landTecholution presented by ION World’s Grea test Visi t us @www.techolutio n.c om : To know more about our revolutionary core practices and getting to know in detail about how we enrich the human experience with techno logy. Show more Show less

About US At Particleblack, we drive innovation through intelligent experimentation with Artificial Intelligence. Our multidisciplinary team—comprising solution architects, data scientists, engineers, product managers, and designers—collaborates with domain experts to deliver cutting-edge R&D solutions tailored to your business. Our ecosystem empowers rapid execution with plug-and-play tools, enabling scalable, AI-powered strategies that fast-track your digital transformation. With a focus on automation and seamless integration, we help you stay ahead—letting you focus on your core, while we accelerate your growth Responsibilities & Qualifications Data Architecture Design: Develop and implement scalable and efficient data architectures for batch and real-time data processing.Design and optimize data lakes, warehouses, and marts to support analytical and operational use cases. ETL/ELT Pipelines: Build and maintain robust ETL/ELT pipelines to extract, transform, and load data from diverse sources.Ensure pipelines are highly performant, secure, and resilient to handle large volumes of structured and semi-structured data. Data Quality and Governance: Establish data quality checks, monitoring systems, and governance practices to ensure the integrity, consistency, and security of data assets. Implement data cataloging and lineage tracking for enterprise-wide data transparency. Collaboration with Teams:Work closely with data scientists and analysts to provide accessible, well-structured datasets for model development and reporting. Partner with software engineering teams to integrate data pipelines into applications and services. Cloud Data Solutions: Architect and deploy cloud-based data solutions using platforms like AWS, Azure, or Google Cloud, leveraging services such as S3, BigQuery, Redshift, or Snowflake. Optimize cloud infrastructure costs while maintaining high performance. Data Automation and Workflow Orchestration: Utilize tools like Apache Airflow, n8n, or similar platforms to automate workflows and schedule recurring data jobs. Develop monitoring systems to proactively detect and resolve pipeline failures. Innovation and Leadership: Research and implement emerging data technologies and methodologies to improve team productivity and system efficiency. Mentor junior engineers, fostering a culture of excellence and innovation.| Required Skills: Experience: 7+ years of overall experience in data engineering roles, with at least 2+ years in a leadership capacity. Proven expertise in designing and deploying large-scale data systems and pipelines. Technical Skills: Proficiency in Python, Java, or Scala for data engineering tasks. Strong SQL skills for querying and optimizing large datasets. Experience with data processing frameworks like Apache Spark, Beam, or Flink. Hands-on experience with ETL tools like Apache NiFi, dbt, or Talend. Experience in pub sub and stream processing using Kafka/Kinesis or the like Cloud Platforms: Expertise in one or more cloud platforms (AWS, Azure, GCP) with a focus on data-related services. Data Modeling: Strong understanding of data modeling techniques (dimensional modeling, star/snowflake schemas). Collaboration: Proven ability to work with cross-functional teams and translate business requirements into technical solutions. Preferred Skills: Familiarity with data visualization tools like Tableau or Power BI to support reporting teams. Knowledge of MLOps pipelines and collaboration with data scientists. Show more Show less

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Google BigQuery Good to have skills : Microsoft SQL Server, Google Cloud Data Services Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will be responsible for designing, developing, and maintaining data solutions for data generation, collection, and processing. You will create data pipelines, ensure data quality, and implement ETL processes to migrate and deploy data across systems. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Develop and maintain data pipelines. - Ensure data quality throughout the data lifecycle. - Implement ETL processes for data migration and deployment. - Collaborate with cross-functional teams to understand data requirements. - Optimize data storage and retrieval processes. Professional & Technical Skills: - Must To Have Skills: Proficiency in Google BigQuery. - Strong understanding of data engineering principles. - Experience with cloud-based data services. - Knowledge of SQL and database management systems. - Hands-on experience with data modeling and schema design. Additional Information: - The candidate should have a minimum of 3 years of experience in Google BigQuery. - This position is based at our Mumbai office. - A 15 years full time education is required. 15 years full time education Show more Show less

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy, ensuring that the data architecture aligns with business objectives and supports analytical needs. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Develop and optimize data pipelines to enhance data processing efficiency. - Collaborate with stakeholders to gather requirements and translate them into technical specifications. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Strong understanding of data modeling and database design principles. - Experience with ETL tools and data integration techniques. - Familiarity with cloud platforms and services related to data storage and processing. - Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information: - The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Chennai office. - A 15 years full time education is required. 15 years full time education Show more Show less

Data Science and AI Developer **Job Description:** We are seeking a highly skilled and motivated Data Science and AI Developer to join our dynamic team. As a Data Science and AI Developer, you will be responsible for leveraging cutting-edge technologies to develop innovative solutions that drive business insights and enhance decision-making processes. **Key Responsibilities:** 1. Develop and deploy machine learning models for predictive analytics, classification, clustering, and anomaly detection. 2. Design and implement algorithms for data mining, pattern recognition, and natural language processing. 3. Collaborate with cross-functional teams to understand business requirements and translate them into technical solutions. 4. Utilize advanced statistical techniques to analyze complex datasets and extract actionable insights. 5. Implement scalable data pipelines for data ingestion, preprocessing, feature engineering, and model training. 6. Stay updated with the latest advancements in data science, machine learning, and artificial intelligence research. 7. Optimize model performance and scalability through experimentation and iteration. 8. Communicate findings and results to stakeholders through reports, presentations, and visualizations. 9. Ensure compliance with data privacy regulations and best practices in data handling and security. 10. Mentor junior team members and provide technical guidance and support. **Requirements:** 1. Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, or a related field. 2. Proven experience in developing and deploying machine learning models in production environments. 3. Proficiency in programming languages such as Python, R, or Scala, with strong software engineering skills. 4. Hands-on experience with machine learning libraries/frameworks such as TensorFlow, PyTorch, Scikit-learn, or Spark MLlib. 5. Solid understanding of data structures, algorithms, and computer science fundamentals. 6. Excellent problem-solving skills and the ability to think creatively to overcome challenges. 7. Strong communication and interpersonal skills, with the ability to work effectively in a collaborative team environment. 8. Certification in Data Science, Machine Learning, or Artificial Intelligence (e.g., Coursera, edX, Udacity, etc.). 9. Experience with cloud platforms such as AWS, Azure, or Google Cloud is a plus. 10. Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) is an advantage. Data Manipulation and Analysis : NumPy, Pandas Data Visualization : Matplotlib, Seaborn, Power BI Machine Learning Libraries : Scikit-learn, TensorFlow, Keras Statistical Analysis : SciPy Web Scrapping : Scrapy IDE : PyCharm, Google Colab HTML/CSS/JavaScript/React JS Proficiency in these core web development technologies is a must. Python Django Expertise: In-depth knowledge of e-commerce functionalities or deep Python Django knowledge. Theming: Proven experience in designing and implementing custom themes for Python websites. Responsive Design: Strong understanding of responsive design principles and the ability to create visually appealing and user-friendly interfaces for various devices. Problem Solving: Excellent problem-solving skills with the ability to troubleshoot and resolve issues independently. Collaboration: Ability to work closely with cross-functional teams, including marketing and design, to bring creative visions to life. interns must know about how to connect front end with datascience Also must Know to connect datascience to frontend **Benefits:** - Competitive salary package - Flexible working hours - Opportunities for career growth and professional development - Dynamic and innovative work environment Job Type: Full-time Pay: ₹8,000.00 - ₹12,000.00 per month Schedule: Day shift Ability to commute/relocate: Thiruvananthapuram, Kerala: Reliably commute or planning to relocate before starting work (Preferred) Work Location: In person

Employment Type: 12 Months Fixed Term Key Responsibilities and Tasks: Manage and be accountable for the full recruitment lifecycle, including sourcing, screening, interviewing and onboarding candidates, for areas of responsibility. Complete Hiring Manager brief to understand the most important elements of their requirement, to facilitate suitable candidate shortlisting. Establish agreed sourcing methodologies for vacancies with Hiring Managers. Utilise social media and established talent pools, to proactively recruit and achieve minimum time to hire. Responsible for candidate management; screening for suitability and endorsing to Hiring Managers. Manage offer discussions with successful candidates correctly, to eradicate possibility of candidate offer rejection. Achieve subject matter expert level usage of recruitment ATS, ensuring accurate maintenance of candidate records and vacancy activity. Educating/ training new hiring manager users to use the system effectively. Use data and market intelligence to support Group Reward and Group Human Resources colleagues, with related people issues and decision-making process. Support wider business activity aligned to recruitment (i.e. university fairs, networking events). Deliver guidance and SME advice on recruitment matters for given geographical and organisational areas of responsibility. Essential: Previous experience of in-house recruitment. Significant direct sourcing and networking experience. Demonstrable evidence of strong stakeholder engagement skills. Proven experience of using ATS systems to extract data for reporting purposes. Solution minded and adaptable, demonstrating the ability to quickly adjust to shifting business priorities. Desirable : Maritime or similar industry experience. Show more Show less

Job Type: 12 month fixed term(CONTRACT) Overall Purpose of The Job Manage end to end recruitment process for disciplines and locations of responsibility, ensuring the best possible candidate and Hiring Manager experience, while ensuring a positive recruitment outcome. Key Responsibilities and Tasks Manage and be accountable for the full recruitment lifecycle, including sourcing, screening, interviewing and onboarding candidates, for areas of responsibility. Complete Hiring Manager brief to understand the most important elements of their requirement, to facilitate suitable candidate shortlisting. Establish agreed sourcing methodologies for vacancies with Hiring Managers. Utilise social media and established talent pools, to proactively recruit and achieve minimum time to hire. Responsible for candidate management; screening for suitability and endorsing to Hiring Managers. Manage offer discussions with successful candidates correctly, to eradicate possibility of candidate offer rejection. Achieve subject matter expert level usage of recruitment ATS, ensuring accurate maintenance of candidate records and vacancy activity. Educating/ training new hiring manager users to use the system effectively. Use data and market intelligence to support Group Reward and Group Human Resources colleagues, with related people issues and decision-making process. Support wider business activity aligned to recruitment (i.e. university fairs, networking events). Deliver guidance and SME advice on recruitment matters for given geographical and organisational areas of responsibility. Essential Previous experience of in-house recruitment. Significant direct sourcing and networking experience. Demonstrable evidence of strong stakeholder engagement skills. Proven experience of using ATS systems to extract data for reporting purposes. Solution minded and adaptable, demonstrating the ability to quickly adjust to shifting business priorities. Show more Show less

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and deliver effective solutions that meet business needs, while also troubleshooting any issues that arise in the data flow and processing stages. Your role will be pivotal in ensuring that data is accessible, reliable, and ready for analysis, contributing to informed decision-making within the organization. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Assist in the design and implementation of data architecture and data models. - Monitor and optimize data pipelines for performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Good To Have Skills: Experience with Apache Spark and data lake architectures. - Strong understanding of ETL processes and data integration techniques. - Familiarity with data quality frameworks and data governance practices. - Experience with cloud platforms such as AWS or Azure. Additional Information: - The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Bhubaneswar office. - A 15 years full time education is required. 15 years full time education Show more Show less

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. - Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Experience with data pipeline development and management. - Strong understanding of ETL processes and data integration techniques. - Familiarity with data quality frameworks and best practices. - Knowledge of cloud data storage solutions and architectures. Additional Information: - The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform. - This position is based in Hyderabad. - A 15 years full time education is required. 15 years full time education Show more Show less

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 3 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand data requirements and contribute to the overall data strategy, ensuring that the data architecture aligns with business objectives and supports analytical needs. Roles & Responsibilities: - Expected to perform independently and become an SME. - Required active participation/contribution in team discussions. - Contribute in providing solutions to work related problems. - Assist in the design and implementation of data architecture to support data initiatives. - Monitor and optimize data pipelines for performance and reliability. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Strong understanding of data modeling and database design principles. - Experience with ETL tools and processes. - Familiarity with cloud platforms and services related to data storage and processing. - Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information: - The candidate should have minimum 3 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Indore office. - A 15 years full time education is required. 15 years full time education Show more Show less

Amrita Vishwa Vidyapeetham, Amritapuri Campus is inviting applications from qualified candidates for the post of Data Analyst. For More details contact paikrishnang@am.amrita.edu Job Title Data Analyst Location Kollam, Kerala Required Number 1 Qualification Bachelor’s or Master’s degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Desirable Skills & Capacity 1–2 years of experience working as a data analyst or in a related role Strong proficiency in Python for data analysis (pandas, numpy, matplotlib/ seaborn) Familiarity with SQL for querying databases Experience with data visualization tools such as Power BI, or Tableau Good spoken and written English skills Job Responsibilities Data Cleaning & Preparation Collect, clean, and prepare structured and unstructured data from various sources Handle missing values, outliers, and data formatting issues Data Analysis Perform exploratory data analysis (EDA) to extract insights and trends Work with large datasets to support research and project goals Apply statistical techniques for hypothesis testing and inference Reporting & Visualization Build dashboards and reports to communicate findings effectively Present insights in a clear and compelling manner for internal and external stakeholders Collaboration Work closely with project managers, developers, and education researchers Translate research questions into data-driven analyses and solutions Code Quality & Documentation Write clean, reproducible scripts and notebooks Maintain proper documentation of data sources, workflows, and results Use Git for version control and collaborative development Learning & Improvement Stay updated on current trends and tools in data science Continuously enhance skills through learning and experimentation Job Category Research Last Date to Apply August 2, 2025

Job Applications are invited for the post of Data Analyst at Amrita Center for Research in Analytics, Technologies and Education. For details contact : amritawna.hr@gmail.com Job Title Data Analyst Location Kollam, Kerala Required Number 5 Qualification Bachelor’s degree (or higher) in Computer Science, IT, Statistics Job Description We are seeking a highly motivated and detail-oriented Data Analyst to join our team. The ideal candidate will play a key role in cleaning, analyzing, and summarizing complex datasets collected from surveys, interviews, mobile applications and secondary data sources Clean, transform, and validate raw survey and app-collected data for use in analysis and visualization. Conduct descriptive and inferential statistical analysis to extract insights from datasets. Develop clear, concise data summaries and reports for non-technical stakeholders. • Collaborate with the dashboard development team to ensure data accuracy and clarity in visualizations. Identify patterns, trends, and anomalies in the data to inform social science research questions. Document data processes, code, and analysis logic for reproducibility and transparency. Support the design and continuous improvement of data pipelines and workflow automation Job category Non-Teaching Last date to apply June 25, 2025 For details contact amritawna.hr@gmail.com

Location Gurugram, India Share Position Summary Futures First is a part of the Hertshten Group, its holding company which has raised the benchmarks for excellence in the international derivatives industry. Futures First benefits from the significant experience of the Hertshten Group in derivatives markets across global financial exchanges. This is an exciting challenge and an excellent opportunity for bright, analytical, highly motivated professionals to join a vibrant and global organization. At Futures First, we are dedicated to empowering our team with cutting‑edge technology, comprehensive training, dependable infrastructure, and ongoing learning opportunities—enabling everyone to produce high‑caliber work while advancing both professionally and personally. Job Profile We are seeking a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will have a strong background in data analysis, MIS reporting, and proficiency in Excel, VBA Macros, SQL, Python, and Power BI/Qlik Sense. This role involves transforming data into actionable insights to support business decisions. Key Responsibilities: Develop, maintain, and automate MIS reports and dashboards to support various business functions. Utilize advanced Excel functions including VBA Macros, for data analysis, reporting and automation. Write complex SQL queries to extract, manipulate, and analyze data from relational databases. Employ Python for data cleaning, analysis, and visualization tasks. Design and implement interactive dashboards and reports using Power BI/Qlik Sense to visualize key performance indicators and trends. Collaborate with cross-functional teams to understand data requirements and deliver insights. Ensure data accuracy and integrity across all reporting platforms. Requirements Education Qualifications Bachelor's or Master’s in any discipline Work Experience Minimum of 3 years of experience in data analysis or a similar role Skill Set Any certification in data analysis would be an added advantage Good analytical, logical and communication skills Proficiency in Microsoft Excel, including advanced functions and VBA Macros. Strong knowledge of SQL and Python for data querying and manipulation. Good to have hands on experience on one of the self-serviced BI tools like Power BI or Qlik Sense. Location: Gurgaon, Haryana Experience: 3+ Years Employment Type: Full-time

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 7.5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. - Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Experience with data pipeline orchestration tools such as Apache Airflow or similar. - Strong understanding of ETL processes and data warehousing concepts. - Familiarity with cloud platforms like AWS, Azure, or Google Cloud. - Knowledge of programming languages such as Python or Scala for data manipulation. Additional Information: - The candidate should have minimum 7.5 years of experience in Databricks Unified Data Analytics Platform. - This position is based at our Pune office. - A 15 years full time education is required. 15 years full time education Show more Show less

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. - Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Experience with data pipeline orchestration tools. - Strong understanding of ETL processes and data warehousing concepts. - Familiarity with data quality frameworks and best practices. - Knowledge of programming languages such as Python or Scala. Additional Information: - The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform. - This position is based in Mumbai. - A 15 years full time education is required. 15 years full time education Show more Show less

Project Role : Data Engineer Project Role Description : Design, develop and maintain data solutions for data generation, collection, and processing. Create data pipelines, ensure data quality, and implement ETL (extract, transform and load) processes to migrate and deploy data across systems. Must have skills : Databricks Unified Data Analytics Platform Good to have skills : NA Minimum 5 Year(s) Of Experience Is Required Educational Qualification : 15 years full time education Summary: As a Data Engineer, you will design, develop, and maintain data solutions that facilitate data generation, collection, and processing. Your typical day will involve creating data pipelines, ensuring data quality, and implementing ETL processes to migrate and deploy data across various systems. You will collaborate with cross-functional teams to understand their data needs and provide effective solutions, ensuring that the data infrastructure is robust and scalable to meet the demands of the organization. Roles & Responsibilities: - Expected to be an SME. - Collaborate and manage the team to perform. - Responsible for team decisions. - Engage with multiple teams and contribute on key decisions. - Provide solutions to problems for their immediate team and across multiple teams. - Mentor junior team members to enhance their skills and knowledge in data engineering. - Continuously evaluate and improve data processes to enhance efficiency and effectiveness. Professional & Technical Skills: - Must To Have Skills: Proficiency in Databricks Unified Data Analytics Platform. - Experience with data pipeline development and management. - Strong understanding of ETL processes and data integration techniques. - Familiarity with data quality frameworks and best practices. - Knowledge of cloud-based data solutions and architectures. Additional Information: - The candidate should have minimum 5 years of experience in Databricks Unified Data Analytics Platform. - This position is based in Mumbai. - A 15 years full time education is required. 15 years full time education Show more Show less