Required Experience: 5 - 7 Years
Skills : ADF, Azure, SSIS, python
Job Description
Azure Data Engineer with hands on SSIS migrations and ADF expertise.
Roles & Responsibilities
•Overall, 6+ years’ experience in Cloud Data Engineering, with hands on experience in ADF (Azure Data Factory) is required.
Hands on experience with SSIS to ADF migration is preferred.
SQL Server Integration Services (SSIS) workloads to SSIS in ADF. ( Must have done at least one migration)
Hands on experience implementing Azure Data Factory frameworks, scheduling, and performance tuning.
Hands on experience in migrating SSIS solutions to ADF
Hands on experience in ADF coding side.
Hands on experience with MPP Database architecture
Hands on experience in python
About Fint Solutions
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CodeCraft Technologies is an award-winning creative engineering company where highly skilled designers and engineers work closely and bring to life, user-focused solutions.
Proven design & development methodologies are leveraged, and the latest technologies are explored, to deliver best-in-class mobile and web solutions. Our success is built on a team of talented and motivated individuals who drive excellence in everything they do. We are seeking a highly skilled and experienced Lead Data Scientist to join our growing team.
Responsibilities:
● Work with stakeholders across the organization to identify opportunities for leveraging company data to drive business solutions.
● Develop custom data models and algorithms to apply to data sets.
● Use predictive modeling to increase and optimize the business process and solutions
● Research and development of AI algorithms and their applicability in business-related problems to build intelligent systems.
● Build a Solid Data Science Team: Provide strategic direction for the data science team. Lead, mentor, and inspire a team of data scientists, fostering a culture of collaboration and continuous learning.
● Explore the latest technologies in the Data science domain and develop POCs.
● Establish a Technology Partnership with the leading technology providers in the AI/ML space.
● MLOps – Deploy ML solutions to the cloud.
● Collaborate with the content team to produce Tech blogs, case studies, etc.,
Required Skill Set:
● Strong foundational knowledge of data science concepts, machine learning algorithms, and programming skills in Python (and/or R).
● Expertise in Generative AI (GenAI), Large Language Models (LLM), Natural Language Processing (NLP), image processing and/or video analytics
● Proven track record of supporting global clients or internal stakeholders in data science projects.
● Experience in data analytics, descriptive analytics and predictive analytics
● Experience using AI/ML tools available from cloud service providers like AWS/AZURE/GCP including TensorFlow, SageMaker, and Azure ML
● Experience in deploying solutions to the cloud [AWS/Azure/GCP]
● Experience with Data Visualization tools like PowerBI, Tableau
● Proficient in SQL and other database technologies.
● Good understanding of the latest research and technologies in AI.
● Experience working across multiple geographic borders and time zones
● Outstanding communication and presentation skills
Education:
● Graduation/Post-graduation in Computers/Engineering/Statistics from a reputed institute
Job Title
Data Analyst
Job Brief
The successful candidate will turn data into information, information into insight and insight into business decisions.
Data Analyst Job Duties
Data analyst responsibilities include conducting full lifecycle analysis to include requirements, activities and design. Data analysts will develop analysis and reporting capabilities. They will also monitor performance and quality control plans to identify improvements.
Responsibilities
● Interpret data, analyze results using statistical techniques and provide ongoing reports.
● Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality.
● Acquire data fromprimary orsecondary data sources andmaintain databases/data systems.
● Identify, analyze, and interpret trends orpatternsin complex data sets.
● Filter and “clean” data by reviewing computerreports, printouts, and performance indicatorsto locate and correct code problems.
● Work withmanagementto prioritize business and information needs.
● Locate and define new processimprovement opportunities.
Requirements
● Proven working experienceas aData Analyst or BusinessDataAnalyst.
● Technical expertise regarding data models, database design development, data mining and segmentation techniques.
● Strong knowledge of and experience with reporting packages (Business Objects etc), databases (SQL etc), programming (XML, Javascript, or ETL frameworks).
● Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc).
● Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
● Adept atqueries,reportwriting and presenting findings.
Job Location SouthDelhi, New Delhi
o You’re both relentless and kind, and don’t see these as being mutually
exclusive
o You have a self-directed learning style, an insatiable curiosity, and a
hands-on execution mindset
o You have deep experience working with product and engineering teams
to launch machine learning products that users love in new or rapidly
evolving markets
o You flourish in uncertain environments and can turn incomplete,
conflicting, or ambiguous inputs into solid data-science action plans
o You bring best practices to feature engineering, model development, and
ML operations
o Your experience in deploying and monitoring the performance of models
in production enables us to implement a best-in-class solution
o You have exceptional writing and speaking skills with a talent for
articulating how data science can be applied to solve customer problems
Must-Have Qualifications
o Graduate degree in engineering, data science, mathematics, physics, or
another quantitative field
o 5+ years of hands-on experience in building and deploying production-
grade ML models with ML frameworks (TensorFlow, Keras, PyTorch) and
libraries like scikit-learn
o Track-record in building ML pipelines for time series, classification, and
predictive applications
o Expert level skills in Python for data analysis and visualization, hypothesis
testing, and model building
o Deep experience with ensemble ML approaches including random forests
and xgboost, and experience with databases and querying models for
structured and unstructured data
o A knack for using data visualization and analysis tools to tell a story
o You naturally think quantitatively about problems and work backward
from a customer outcome
What’ll make you stand out (but not required)
o You have a keen awareness or interest in network analysis/graph analysis
or NLP
o You have experience in distributed systems and graph databases
o You have a strong connection to finance teams or closely related
domains, the challenges they face, and a deep appreciation for their
aspirations
- At least 4 to 7 years of relevant experience as Big Data Engineer
- Hands-on experience in Scala or Python
- Hands-on experience on major components in Hadoop Ecosystem like HDFS, Map Reduce, Hive, Impala.
- Strong programming experience in building applications/platform using Scala or Python.
- Experienced in implementing Spark RDD Transformations, actions to implement business analysis
We are specialized in productizing solutions of new technology.
Our vision is to build engineers with entrepreneurial and leadership mindsets who can create highly impactful products and solutions using technology to deliver immense value to our clients.
We strive to develop innovation and passion into everything we do, whether it is services or products, or solutions.
Ganit has flipped the data science value chain as we do not start with a technique but for us, consumption comes first. With this philosophy, we have successfully scaled from being a small start-up to a 200 resource company with clients in the US, Singapore, Africa, UAE, and India.
We are looking for experienced data enthusiasts who can make the data talk to them.
You will:
- Understand business problems and translate business requirements into technical requirements.
- Conduct complex data analysis to ensure data quality & reliability i.e., make the data talk by extracting, preparing, and transforming it.
- Identify, develop and implement statistical techniques and algorithms to address business challenges and add value to the organization.
- Gather requirements and communicate findings in the form of a meaningful story with the stakeholders
- Build & implement data models using predictive modelling techniques. Interact with clients and provide support for queries and delivery adoption.
- Lead and mentor data analysts.
We are looking for someone who has:
- Apart from your love for data and ability to code even while sleeping you would need the following.
- Minimum of 02 years of experience in designing and delivery of data science solutions.
- You should have successful projects of retail/BFSI/FMCG/Manufacturing/QSR in your kitty to show-off.
- Deep understanding of various statistical techniques, mathematical models, and algorithms to start the conversation with the data in hand.
- Ability to choose the right model for the data and translate that into a code using R, Python, VBA, SQL, etc.
- Bachelors/Masters degree in Engineering/Technology or MBA from Tier-1 B School or MSc. in Statistics or Mathematics
Skillset Required:
- Regression
- Classification
- Predictive Modelling
- Prescriptive Modelling
- Python
- R
- Descriptive Modelling
- Time Series
- Clustering
What is in it for you:
- Be a part of building the biggest brand in Data science.
- An opportunity to be a part of a young and energetic team with a strong pedigree.
- Work on awesome projects across industries and learn from the best in the industry, while growing at a hyper rate.
Please Note:
At Ganit, we are looking for people who love problem solving. You are encouraged to apply even if your experience does not precisely match the job description above. Your passion and skills will stand out and set you apart—especially if your career has taken some extraordinary twists and turns over the years. We welcome diverse perspectives, people who think rigorously and are not afraid to challenge assumptions in a problem. Join us and punch above your weight!
Ganit is an equal opportunity employer and is committed to providing a work environment that is free from harassment and discrimination.
All recruitment, selection procedures and decisions will reflect Ganit’s commitment to providing equal opportunity. All potential candidates will be assessed according to their skills, knowledge, qualifications, and capabilities. No regard will be given to factors such as age, gender, marital status, race, religion, physical impairment, or political opinions.
- B.E Computer Science or equivalent.
- In-depth knowledge of machine learning algorithms and their applications including
practical experience with and theoretical understanding of algorithms for classification,
regression and clustering.
- Hands-on experience in computer vision and deep learning projects to solve real world
problems involving vision tasks such as object detection, Object tracking, instance
segmentation, activity detection, depth estimation, optical flow, multi-view geometry,
domain adaptation etc.
- Strong understanding of modern and traditional Computer Vision Algorithms.
- Experience in one of the Deep Learning Frameworks / Networks: PyTorch, TensorFlow,
Darknet (YOLO v4 v5), U-Net, Mask R-CNN, EfficientDet, BERT etc.
- Proficiency with CNN architectures such as ResNet, VGG, UNet, MobileNet, pix2pix,
and Cycle GAN.
- Experienced user of libraries such as OpenCV, scikit-learn, matplotlib and pandas.
- Ability to transform research articles into working solutions to solve real-world problems.
- High proficiency in Python programming knowledge.
- Familiar with software development practices/pipelines (DevOps- Kubernetes, docker
containers, CI/CD tools).
- Strong communication skills.
Who Are We
A research-oriented company with expertise in computer vision and artificial intelligence, at its core, Orbo is a comprehensive platform of AI-based visual enhancement stack. This way, companies can find a suitable product as per their need where deep learning powered technology can automatically improve their Imagery.
ORBO's solutions are helping BFSI, beauty and personal care digital transformation and Ecommerce image retouching industries in multiple ways.
WHY US
- Join top AI company
- Grow with your best companions
- Continuous pursuit of excellence, equality, respect
- Competitive compensation and benefits
You'll be a part of the core team and will be working directly with the founders in building and iterating upon the core products that make cameras intelligent and images more informative.
To learn more about how we work, please check out
Description:
We are looking for a computer vision engineer to lead our team in developing a factory floor analytics SaaS product. This would be a fast-paced role and the person will get an opportunity to develop an industrial grade solution from concept to deployment.
Responsibilities:
- Research and develop computer vision solutions for industries (BFSI, Beauty and personal care, E-commerce, Defence etc.)
- Lead a team of ML engineers in developing an industrial AI product from scratch
- Setup end-end Deep Learning pipeline for data ingestion, preparation, model training, validation and deployment
- Tune the models to achieve high accuracy rates and minimum latency
- Deploying developed computer vision models on edge devices after optimization to meet customer requirements
Requirements:
- Bachelor’s degree
- Understanding about depth and breadth of computer vision and deep learning algorithms.
- 4+ years of industrial experience in computer vision and/or deep learning
- Experience in taking an AI product from scratch to commercial deployment.
- Experience in Image enhancement, object detection, image segmentation, image classification algorithms
- Experience in deployment with OpenVINO, ONNXruntime and TensorRT
- Experience in deploying computer vision solutions on edge devices such as Intel Movidius and Nvidia Jetson
- Experience with any machine/deep learning frameworks like Tensorflow, and PyTorch.
- Proficient understanding of code versioning tools, such as Git
Our perfect candidate is someone that:
- is proactive and an independent problem solver
- is a constant learner. We are a fast growing start-up. We want you to grow with us!
- is a team player and good communicator
What We Offer:
- You will have fun working with a fast-paced team on a product that can impact the business model of E-commerce and BFSI industries. As the team is small, you will easily be able to see a direct impact of what you build on our customers (Trust us - it is extremely fulfilling!)
- You will be in charge of what you build and be an integral part of the product development process
- Technical and financial growth!
We are currently looking for a Junior Data Scientist to join our growing Data Science team in Panchkula. As a Jr. Data Scientist, you will work closely with the Head of Data Science and a variety of cross-functional teams to identify opportunities to enhance the customer journey, reduce churn, improve user retention, and drive revenue.
Experience Required
- Medium to Expert level proficiency in either R or Python.
- Expert level proficiency in SQL scripting for RDBMS and NoSQL DBs (especially MongoDB)
- Tracking and insights on key metrics around User Journey, User Retention, Churn Modelling and Prediction, etc.
- Medium-to-Highly skilled in data-structures and ML algorithms, with the ability to create efficient solutions to complex problems.
- Experience of working on an end-to-end data science pipeline: problem scoping, data gathering, EDA, modeling, insights, visualizations, monitoring and maintenance.
- Medium-to-Proficient in creating beautiful Tableau dashboards.
- Problem-solving: Ability to break the problem into small parts and apply relevant techniques to drive the required outcomes.
- Intermediate to advanced knowledge of machine learning, probability theory, statistics, and algorithms. You will be required to discuss and use various algorithms and approaches on a daily basis.
- Proficient in at least a few of the following: regression, Bayesian methods, tree-based learners, SVM, RF, XGBOOST, time series modelling, GLM, GLMM, clustering, Deep learning etc.
Good to Have
- Experience in one of the upcoming technologies like deep learning, recommender systems, etc.
- Experience of working in the Gaming domain
- Marketing analytics, cross-sell, up-sell, campaign analytics, fraud detection
- Experience in building and maintaining Data Warehouses in AWS would be a big plus!
Benefits
- PF and gratuity
- Working 5 days a week
- Paid leaves (CL, SL, EL, ML) and holidays
- Parties, festivals, birthday celebrations, etc
- Equability: absence of favouritism in hiring & promotion
The programmer should be proficient in python and should be able to work totally independently. Should also have skill to work with databases and have strong capability to understand how to fetch data from various sources, organise the data and identify useful information through efficient code.
Familiarity with Python
Some examples of work: