Here are the top Data Engineer available for hire in Chennai in December 2024
An IIT Graduate, Chief Data Scientist Have significant expertise in leading and executing Machine Learning & Analytics projects & building strategies based on insights. Worked across Industries spanning Private Equity, Financial Services, Retail, Online lenders, Marketing etc. Proficient in building Machine Learning models, Segmentation models, Strategy designing, Data Exploration & Data Visualization.
PhD in Computer Science with 20+ years of experience in Data Engineering, Business Intelligence, Enterprise Architecture, data driven AI Products - SKILLS :-Strategic Planning, ,Solution Design & Architect,COE/ AI Labs Set-Up Artificial intelligence ,Data Ops, Deve Ops, ML & AI Ops,Cloud-first Data Analytics Systems Data Modelling, Data Visualization ,Business Intelligence,Project Management,Digital Transformation/Automations ,Patents & Publications,Cost & Resource Optimisation,Stakeholder / Client Engagements,Business Decision-Making Support,Team Building, Leadership, Trainings, Software Engineering ,Data Engineering - Immediate joiner and CTC per Annum is 87 K USD per annum.. expected is 97 K USD per annum
Technology Leader with 23 years of software engineering experience building high-performing products and engineering organizations setting technology strategy, and building innovative, scalable, and operationally excellent products. • Designing and building SaaS-based consumer-facing, enterprise as well as backend infrastructure services at internet scale, in the cloud. • A Data Leader with experience in building high-quality large-scale distributed systems handling petabyte-scale data focusing on full-stack Data Engineering, Data Analytics, and Data Science coupled with AI/ML. • Ability to sustain a strong culture of innovation and craftsmanship. • Experience in attracting, retaining, and developing top Full-stack Engineers, Data Engineers, Data Scientists, and Engineering Managers.
With 20+ years' expertise in Digital Transformation, Business Analytics, and Cloud, this Tech Leader excelled at AB InBev, driving $30M revenue growth. Led global teams, forged strategic partnerships, and enabled Data Platform adoption. Proficient in AI/ML, Big Data, Cloud Security, and DevOps. Seeks $160,000 USD/yr.
Experienced Engineering Director with 13+ years, excelling in large-scale project leadership. Current Director at VISA's Data & AI Platform, overseeing teams in governance, observability, and insights. Skilled in Cloud (GCP, Azure), big data, microservices, AI/ML. Strong track record in team growth, innovation, and strategic collaboration. Holds patents, and innovation awards. The current salary is INR 1.1cr.
2 years exp with MACHINE LEARNING ENGINEER A passionate Machine Learning Engineer with proven experience in Computer Vision, Natural Language Processing (NLP), and Data Mining. Successfully designed, improved, and implemented an entire recommendation engine that serves >250k users.
● 7+ years of IT experience in all phases of Software Development with Agile methodology which includes User Interaction, Business Analysis/Modeling, Design & Development, Integration, Planning and testing, migration and documentation in applications using ETL pipelines and distributed applications. ● 2+ years of Strong expertise in using Hadoop big data technologies Apache Spark, Scala, python, Kafka, Cassandra, Jenkins Pipelines, Kubernetes, Kibana, Rancher, GITHUB, Rancher ,Kibana, Hadoop HDFS, Hive, IntelliJ, Cassandra, sqlserveretc .. ● Designing and developing Spark jobs with data frames using different file formats like Text, Sequence, Xml, parquet and Avro ● Used Python with OpenStack, OpenERP (now ODOO), SQL Alchemy, Django CMS. ● Excellent experience with Requests, NumPy, Matplotlib, SciPy, PySpark and Pandas python libraries during development lifecycle and experience in developing API's for the application using Python, Django, MongoDB, Express, ReactJS, and NodeJS.
Senior level BigData Spark Developer with over 10+ years of successful IT experience and over 8+ Years of experience in BigData, Spark, Java, Scala, PySpark and AWS. Recognized consistently for performance excellence and contributions to success in Banking/Finance industry. Strengths in Spark and Scala backed by training in AWS. Reliable Spark Developer with demonstrated history of success and extensive talents in inspections, material estimations and project evaluations. Highly skilled at delivering job proposals and cost estimates. Ready to tackle new challenges with great organization. Technologically savvy and focused BigData Engineer with strong background in advanced data management and troubleshooting skills. Effective in developing and optimizing data systems to meet customer needs. Complex problem-solver with analytical and driven mindset. Dedicated to achieving demanding development objectives according to tight schedules while producing impeccable code.
Expertise in solving various business problems, involving large scale datasets by designing data science solutions using Machine Learning and Deep Learning algorithms in frameworks like Pyspark, ScikitLearn, Pytorch, Tensorflow-and Keras. Hands on experience in managing complete analytics project and involved in all phases of project life cycle.. High interest in closely following technological developments in the marketspace relating to Deep Learning and NLP and in implementing projects to drive the business value.
Linux Systems Engineer/DevOps Engineer Linux Systems Engineer/DevOps Engineer with excellent exposure in Linux Mail Servers, Streaming Servers, Linux Internals and Troubleshooting Skills. Also having profound knowledge in Virtualization Technologies, Cloud Computing Technologies and IT Infrastructure Automation Tools with good communication and interpersonal skill.
24 years of relevant expertise in the IT sector; full application life cycle implementations for the development of custom software; experience delivering large-scale systems using IOT, cloud, and Microsoft technologies; and pre-sales activities for solutions and consulting.
Software Engineer with 17 years of experience in wide range technologies and handled different roles like Developer, Team lead, Senior Technical lead, Technical Manager.
A result driven data engineer with around 14 years of experience in architecture, design, development and validation of data lakehouse, data warehouse and business intelligence solutions and databases. Vast exposure in resolving issues, improving customer satisfaction, driving overall operational improvements, and interacting with cross teams and customers. Strong experience in requirement gathering, analysis and agile model of product delivery. A team player who can add value to any organization
Seeking a permanent full-time role which demands the best of my skills in terms of technical and analytical knowledge along with organization objectives. I have completed an internship of around 6 months, working with Azure Data Services. Skilled in ETL and developing Databricks notebooks for data cleansing, transformation, and enrichment. Possess a strong understanding of SQL, databases, and data warehouses.
Having 15+ years of experience in providing solutions in Data Warehousing and Business Intelligence. During this have worked in the domain of Finance, Banking , Sales and Marketing for Investment & Retail Banking , Life Sciences and IT Security Customers .Have been involved in Project Management, Team Leading, analysis of requirement, analysis of data models, preparation of High level design and detailed level design documents, Preparing Unit test documents, SIT and UAT defect fixes, ETL and DB Performance Tuning and Production Support.
Languages: Python, SQL, Pyspark,yaml Application tool: MySQL, SQL developer, Oracle, Excel, Qubole, Databricks, Airflow Big data/Hadoop technologies: Hive, Spark,Kafka, NoSQL Cloud technologies: Amazon web services(AWS), Redshift, Glue, EMR, cloud watch Visualization tools: Tableau, Redash Other: Linux, Git, Pandas, Numpy, Matplotlib, Seaborn,sklearn,pyspark.ml, Agile
Highly motivated IT professional with 8+ years of industry experience in Bigdata / Analytics / Data Engineering /Data visualization arena out of 11+ years of total IT experience. An individual who aspires to be a better human every day and is an explorer by heart with an insatiable urge to never stop learning.
Shankar Ravi is an Indian Senior Data Engineer with 7 years of experience working passionately with data. He has a degree in data science and a bachelor's degree in computer applications from a prestigious university in India, the country of tech geniuses.
Programming Languages: Python, Java, C#/C++, R, SQL/NoSQL, JavaScript Research Areas: Artificial Intelligence, Machine Learning, Genetic Analysis, Big Data, Distributed Computing Technologies: AWS, Azure, Google Cloud API, Apache Airflow, NLP, CNN, RNN, Scikit-Learn, Keras, Pytorch, TensorFlow, Apache Spark, Argo • Promoted a culture of continuous improvement within the team (self, team members, and stories) • Matrix-managed a multidisciplinary team • Proven experience balancing multiple priorities and a sense of urgency. • Highly results-driven, with the energy and determination to succeed
Experienced Marketing Planner with 1 year of experience in strategic planning, data analysis, and project management. Highly skilled in leveraging digital tools and analytics to drive growth and increase ROI. Proven track record of creating and executing integrated marketing campaigns. Applying for the position of Business Development Associate at Multisig Ventures
Technology professional with over 5 years of software engineering experience in the finance, automotive and digital entertainment sectors. Proficient in managing and developing projects using Python and C++ in agile environments. Able to pick up new technologies independently to deliver elegant, efficient and effective solutions to business problems.
An Investment Analyst with nearly four year of experience in audit and investment. I have had opportunities to work with a variety of clients, understand their business and working environment in real estate, commercial, manufacturing and logistics sectors. I also have had the understanding of financial statements, financial modeling and advanced knowledge of Excel with large quantities of data relevant to business tasks. I am seeking a new role in which I can use my analytical and quantitative skills to support clients.
A self-learned, technical-oriented data enthusiast with minor experience in the fintech and social media industry. Experienced in data cleaning and data scraping as well as writing scripts to automate repetitive tasks for internal usages.
Solid Experience as Data Analyst/ Engineer. With proven record and ability to solve problems.
5+ years experience Data Scientist. Familiar with Python, SQL, Database, AWS, API etc. IELTS 7.0, excellent English
5+ years experience Data Analyst. Conducting reports for million users, support deploy by Python, SQL, VB, JavaScript, Google BigQuery, Apache Airflow, SAP. His english is intermediate
4+ years experience working with data, DAGs on Airflow, maintaining dashboards, Google Cloud, Big Query, Python, iOT, AI, Algorithms
3+ years experience Data Scientist. Tech skills: Power BI, SWL, Python, Google Cloud Platform, Big Query, Colab Notebooks, Data analyst, Azure. Can speak both French & English
* VNG ● From: May 11, 2022 – now ● Company: VNG (VNG Cloud) ● Title Senior System Engineer * ITD ● From: June 01, 2021 – April 22, 2022 ● Company : ITD ● Title: Senior System Engineer * CODE88 ● From:June 21, 2020 – June 01, 2021 ● Company: Code88 ● Title:System Engineer
As a data professional, I leverage Tableau, QlikView, Python, SQL, and Alteryx to create impactful dashboards for leadership and GTI stakeholders. My expertise lies in collaborating with various GTI teams to conduct root cause analysis, present strategic problem-solving recommendations, and convey key messages through data storytelling. I prioritize data quality assessment and ensure the integrity and accuracy of analysis. I also excel in developing process flows for strategic initiatives and automation solutions. Working closely with stakeholders, I gather requirements for key business metrics, visualizations, and delivery, enabling actionable insights. Effective communication of recommendations and status updates to stakeholders is a vital aspect of my role, ensuring that BI and data needs are met. Additionally, I possess project management skills and experience, ensuring successful execution of data-related projects.
Seasoned data professional with strong Data Monetization, AI/Machine Learning, Data Warehousing, and RDBMS background. Proven track record in utilizing technical expertise to improve business efficiency and profitability.
Experienced Data Scientist with a passion for exploring the potential of Language Models (LLMs) and Vision Transformers (ViTs). As a recent graduate from NYU, I am eager to contribute my expertise in a dynamic and collaborative work environment, where I can tackle challenging tasks head-on. I bring a wealth of skills to leverage in delivering impactful solutions.
I am a ms student advised Huan Sun in ohio state university. My research mainly focuses on deep learning and its applications in Recommendation (3 papers in SIGIR 2020, 2021) and Natural Language Processing (1 paper in AAAI 2022). I am enthusiastic about tackling the real-world problem by using NLP technology and develop the program to apply ML/DL technology. Recently, I am doing the research on fake detection method on the social media. Publications: 1 C.-Y. Tai (1st author), M.-Y.Li, L.-W. Ku. Hyperbolic Disentangled Representation for Fine-Grained Aspect Extraction. AAAI Conference, 2022. 2 C.-Y. Tai (1st author), C.-K.Hua, L.-Y. Hua, L.-W. Ku. Knowledge Based Hyperbolic Propagation. International ACM SIGIR Conference, 2021. 3 C.-Y. Tai (1st author), L.-Y. Hua, C.-K.Hua, L.-W. Ku.. User-Centric Path Reasoning towards Explainable Recommendation. International ACM SIGIR Conference, 2021. 4. 1st author - MVIN: Learning Multiview Items for Recommendation (KG-aware GNN-based recommen
Extensive work on the machine learning and deep learning techniques to help companies arrive at data-driven solutions. Deliver optimized, scalable and explainable machine learning models for production use cases. Worked on technologies like Python, scala, apache spark, Tensorflow, pandas, scikit, and large scale data science products
Versatile data professional with extensive experience in the modern data stack,including cloud platforms (GCP, AWS), cloud service providers (Fivetran, Stitch, Airbyte, DBT, Snow.ake), data modeling, and data pipeline stages. Proven track record in implementing data-driven solutions across various industries, such as retail, mobility, and finance, to optimize business performance.Strong expertise in machine learning, statistical modeling, and web development technologies, as well as soft skills in communication, leadership, and problem-solving . Seeking opportunities to leverage my diverse skill set and expertise to drive innovation and generate valuable insights for organizations