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• 2+ years of experience in data engineering & strong understanding of data engineering principles using big data technologies
• Excellent programming skills in Python is mandatory
• Expertise in relational databases (MSSQL/MySQL/Postgres) and expertise in SQL. Exposure to NoSQL such as Cassandra. MongoDB will be a plus.
• Exposure to deploying ETL pipelines such as AirFlow, Docker containers & Lambda functions
• Experience in AWS loud services such as AWS CLI, Glue, Kinesis etc
• Experience using Tableau for data visualization is a plus
• Ability to demonstrate a portfolio of projects (GitHub, papers, etc.) is a plus
• Motivated, can-do attitude and desire to make a change is a must
• Excellent communication skills
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Hiring for Azure Data Engineers.
Location: Bangalore
Employment type: Full-time, permanent
website: www.amazech.com
Qualifications:
B.E./B.Tech/M.E./M.Tech in Computer Science, Information Technology, Electrical or Electronic with good academic background.
Experience and Required Skill Sets:
• Minimum 5 years of hands-on experience with Azure Data Lake, Azure Data Factory, SQL Data Warehouse, Azure Blob, Azure Storage Explorer
• Experience in Data warehouse/analytical systems using Azure Synapse.
Proficient in creating Azure Data Factory pipelines for ETL processing; copy activity, custom Azure development, Synapse, etc.
• Knowledge of Azure Data Catalog, Event Grid, Service Bus, SQL, and Purview.
• Good technical knowledge in Microsoft SQL Server BI Suite (ETL, Reporting, Analytics, Dashboards) using SSIS, SSAS, SSRS, Power BI
• Design and develop batch and real-time streaming of data loads to data warehouse systems
Other Requirements:
A Bachelor's or Master's degree (Engineering or computer-related degree preferred)
Strong understanding of Software Development Life Cycles including Agile/Scrum
Responsibilities:
• Ability to create complex, enterprise-transforming applications that meet and exceed client expectations.
• Responsible for the bottom line. Strong project management abilities. Ability to encourage the team to stick to timelines.
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- Modeling complex problems, discovering insights, and identifying opportunities through the use of statistical, algorithmic, mining, and visualization techniques
- Experience working with business understanding the requirement, creating the problem statement, and building scalable and dependable Analytical solutions
- Must have hands-on and strong experience in Python
- Broad knowledge of fundamentals and state-of-the-art in NLP and machine learning
- Strong analytical & algorithm development skills
- Deep knowledge of techniques such as Linear Regression, gradient descent, Logistic Regression, Forecasting, Cluster analysis, Decision trees, Linear Optimization, Text Mining, etc
- Ability to collaborate across teams and strong interpersonal skills
Skills
- Sound theoretical knowledge in ML algorithm and their application
- Hands-on experience in statistical modeling tools such as R, Python, and SQL
- Hands-on experience in Machine learning/data science
- Strong knowledge of statistics
- Experience in advanced analytics / Statistical techniques – Regression, Decision trees, Ensemble machine learning algorithms, etc
- Experience in Natural Language Processing & Deep Learning techniques
- Pandas, NLTK, Scikit-learn, SpaCy, Tensorflow
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Hi,
Enterprise minds is looking for Data Scientist.
Strong in Python,Pyspark.
Prefer immediate joiners
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- The ideal candidate is adept at using large data sets to find opportunities for product and process optimization and using models to test the effectiveness of different courses of action.
- Mine and analyze data from company databases to drive optimization and improvement of product development, marketing techniques and business strategies.
- Assess the effectiveness and accuracy of new data sources and data gathering techniques.
- Develop custom data models and algorithms to apply to data sets.
- Use predictive modeling to increase and optimize customer experiences, revenue generation, ad targeting and other business outcomes.
- Develop company A/B testing framework and test model quality.
- Develop processes and tools to monitor and analyze model performance and data accuracy.
Roles & Responsibilities
- Experience using statistical languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
- Experience working with and creating data architectures.
- Looking for someone with 3-7 years of experience manipulating data sets and building statistical models
- Has a Bachelor's, Master's in Computer Science or another quantitative field
- Knowledge and experience in statistical and data mining techniques :
- GLM/Regression, Random Forest, Boosting, Trees, text mining,social network analysis, etc.
- Experience querying databases and using statistical computer languages :R, Python, SQL, etc.
- Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modeling, clustering, decision trees,neural networks, etc.
- Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, Gurobi, MySQL, etc.
- Experience visualizing/presenting data for stakeholders using: Periscope, Business Objects, D3, ggplot, etc.
We are an early stage start-up, building new fintech products for small businesses. Founders are IIT-IIM alumni, with prior experience across management consulting, venture capital and fintech startups. We are driven by the vision to empower small business owners with technology and dramatically improve their access to financial services. To start with, we are building a simple, yet powerful solution to address a deep pain point for these owners: cash flow management. Over time, we will also add digital banking and 1-click financing to our suite of offerings.
We have developed an MVP which is being tested in the market. We have closed our seed funding from marquee global investors and are now actively building a world class tech team. We are a young, passionate team with a strong grip on this space and are looking to on-board enthusiastic, entrepreneurial individuals to partner with us in this exciting journey. We offer a high degree of autonomy, a collaborative fast-paced work environment and most importantly, a chance to create unparalleled impact using technology.
Reach out if you want to get in on the ground floor of something which can turbocharge SME banking in India!
Technology stack at Velocity comprises a wide variety of cutting edge technologies like, NodeJS, Ruby on Rails, Reactive Programming,, Kubernetes, AWS, NodeJS, Python, ReactJS, Redux (Saga) Redis, Lambda etc.
Key Responsibilities
-
Responsible for building data and analytical engineering pipelines with standard ELT patterns, implementing data compaction pipelines, data modelling and overseeing overall data quality
-
Work with the Office of the CTO as an active member of our architecture guild
-
Writing pipelines to consume the data from multiple sources
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Writing a data transformation layer using DBT to transform millions of data into data warehouses.
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Implement Data warehouse entities with common re-usable data model designs with automation and data quality capabilities
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Identify downstream implications of data loads/migration (e.g., data quality, regulatory)
What To Bring
-
5+ years of software development experience, a startup experience is a plus.
-
Past experience of working with Airflow and DBT is preferred
-
5+ years of experience working in any backend programming language.
-
Strong first-hand experience with data pipelines and relational databases such as Oracle, Postgres, SQL Server or MySQL
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Experience with DevOps tools (GitHub, Travis CI, and JIRA) and methodologies (Lean, Agile, Scrum, Test Driven Development)
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Experienced with the formulation of ideas; building proof-of-concept (POC) and converting them to production-ready projects
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Experience building and deploying applications on on-premise and AWS or Google Cloud cloud-based infrastructure
-
Basic understanding of Kubernetes & docker is a must.
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Experience in data processing (ETL, ELT) and/or cloud-based platforms
-
Working proficiency and communication skills in verbal and written English.
Job Description for :
Role: Data/Integration Architect
Experience – 8-10 Years
Notice Period: Under 30 days
Key Responsibilities: Designing, Developing frameworks for batch and real time jobs on Talend. Leading migration of these jobs from Mulesoft to Talend, maintaining best practices for the team, conducting code reviews and demos.
Core Skillsets:
Talend Data Fabric - Application, API Integration, Data Integration. Knowledge on Talend Management Cloud, deployment and scheduling of jobs using TMC or Autosys.
Programming Languages - Python/Java
Databases: SQL Server, Other Databases, Hadoop
Should have worked on Agile
Sound communication skills
Should be open to learning new technologies based on business needs on the job
Additional Skills:
Awareness of other data/integration platforms like Mulesoft, Camel
Awareness Hadoop, Snowflake, S3
In this role, candidates will be responsible for developing Tableau Reports. Should be able to write effective and scalable code. Improve functionality of existing Reports/systems.
· Design stable, scalable code.
· Identify potential improvements to the current design/processes.
· Participate in multiple project discussions as a senior member of the team.
· Serve as a coach/mentor for junior developers.
Minimum Qualifications
· 3 - 8 Years of experience
· Excellent written and verbal communication skills
Must have skills
· Meaningful work experience
· Extensively worked on BI Reporting tool: Tableau for development of reports to fulfill the end user requirements.
· Experienced in interacting with business users to analyze the business process and requirements and redefining requirements into visualizations and reports.
· Must have knowledge with the selection of appropriate data visualization strategies (e.g., chart types) for specific use cases. Ability to showcase complete dashboard implementations that demonstrate visual standard methodologies (e.g., color themes, visualization layout, interactivity, drill-down capabilities, filtering, etc.).
· You should be an Independent player and have experience working with senior leaders.
· Able to explore options and suggest new solutions and visualization techniques to the customer.
· Experience crafting joins and joins with custom SQL blending data from different data sources using Tableau Desktop.
· Using sophisticated calculations using Tableau Desktop (Aggregate, Date, Logical, String, Table, LOD Expressions.
· Working with relational data sources (like Oracle / SQL Server / DB2) and flat files.
· Optimizing user queries and dashboard performance.
· Knowledge in SQL, PL/SQL.
· Knowledge is crafting DB views and materialized views.
· Excellent verbal and written communication skills and interpersonal skills are required.
· Excellent documentation and presentation skills; should be able to build business process mapping document; functional solution documents and own the acceptance/signoff process from E2E
· Ability to make right graph choices, use of data blending feature, Connect to several DB technologies.
· Must stay up to date on new and coming visualization technologies.
Pref location: Chennai (priority)/ Bengaluru
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• Responsible for developing and maintaining applications with PySpark
• Contribute to the overall design and architecture of the application developed and deployed.
• Performance Tuning wrt to executor sizing and other environmental parameters, code optimization, partitions tuning, etc.
• Interact with business users to understand requirements and troubleshoot issues.
• Implement Projects based on functional specifications.
Must-Have Skills:
• Good experience in Pyspark - Including Dataframe core functions and Spark SQL
• Good customer communication.
• Good Analytical skills
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What you will be doing:
As a part of the Global Credit Risk and Data Analytics team, this person will be responsible for carrying out analytical initiatives which will be as follows: -
- Dive into the data and identify patterns
- Development of end-to-end Credit models and credit policy for our existing credit products
- Leverage alternate data to develop best-in-class underwriting models
- Working on Big Data to develop risk analytical solutions
- Development of Fraud models and fraud rule engine
- Collaborate with various stakeholders (e.g. tech, product) to understand and design best solutions which can be implemented
- Working on cutting-edge techniques e.g. machine learning and deep learning models
Example of projects done in past:
- Lazypay Credit Risk model using CatBoost modelling technique ; end-to-end pipeline for feature engineering and model deployment in production using Python
- Fraud model development, deployment and rules for EMEA region
Basic Requirements:
- 1-3 years of work experience as a Data scientist (in Credit domain)
- 2016 or 2017 batch from a premium college (e.g B.Tech. from IITs, NITs, Economics from DSE/ISI etc)
- Strong problem solving and understand and execute complex analysis
- Experience in at least one of the languages - R/Python/SAS and SQL
- Experience in in Credit industry (Fintech/bank)
- Familiarity with the best practices of Data Science
Add-on Skills :
- Experience in working with big data
- Solid coding practices
- Passion for building new tools/algorithms
- Experience in developing Machine Learning models
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