12+ SQL Azure Jobs in Mumbai | SQL Azure Job openings in Mumbai

Required Skill Set :--

• Data Model & Mapping
• MS SQL Database
• Analytics SQL Query
• Genesys Cloud Reporting & Analytics API
• Snow Flake (Good to have)
• Cloud Exposure – AWS or Azure

Technical Experience –

·        5 - 8 Years of experience, preferable at technology or Financial firm

·        Strong understanding of data analysis & reporting tools.

·        Experience with data mining & machine learning techniques.

·        Excellent communication & presentation skills

·        Must have at least 2 – 3 years of experience in Data Model/Analysis /mapping

·        Must have hands on experience in database tools & technologies

·        Must have exposure to Genesys cloud, WFM, GIM, Genesys Analytics API

·        Good to have experience or exposure on salesforce, AWS or AZUre , & Genesys cloud

·        Ability to work independently & as part of a team

·        Strong attention to detail and accuracy.

Work Scope –

• Data Model similar GIM database based on the Genesys Cloud data.
• API to column data mapping.
• Data Model for business for Analytics
• Data base artifacts
• Scripting – Python
• Autosys, TWS job setup.

Data Scientist – Program Embedded 

Job Description:   

We are seeking a highly skilled and motivated senior data scientist to support a big data program. The successful candidate will play a pivotal role in supporting multiple projects in this program covering traditional tasks from revenue management, demand forecasting, improving customer experience to testing/using new tools/platforms such as Copilot Fabric for different purpose. The expected candidate would have deep expertise in machine learning methodology and applications. And he/she should have completed multiple large scale data science projects (full cycle from ideation to BAU). Beyond technical expertise, problem solving in complex set-up will be key to the success for this role. This is a data science role directly embedded into the program/projects, stake holder management and collaborations with patterner are crucial to the success on this role (on top of the deep expertise). 

What we are looking for: 

1. Highly efficient in Python/Pyspark/R. 
2. Understand MLOps concepts, working experience in product industrialization (from Data Science point of view). Experience in building product for live deployment, and continuous development and continuous integration. 
3. Familiar with cloud platforms such as Azure, GCP, and the data management systems on such platform. Familiar with Databricks and product deployment on Databricks. 
4. Experience in ML projects involving techniques: Regression, Time Series, Clustering, Classification, Dimension Reduction, Anomaly detection with traditional ML approaches and DL approaches. 
5. Solid background in statistics, probability distributions, A/B testing validation, univariate/multivariate analysis, hypothesis test for different purpose, data augmentation etc. 
6. Familiar with designing testing framework for different modelling practice/projects based on business needs. 
7. Exposure to Gen AI tools and enthusiastic about experimenting and have new ideas on what can be done. 
8. If they have improved an internal company process using an AI tool, that would be great (e.g. process simplification, manual task automation, auto emails) 
9. Ideally, 10+ years of experience, and have been on independent business facing roles. 
10. CPG or retail as a data scientist would be nice, but not number one priority, especially for those who have navigated through multiple industries. 
11. Being proactive and collaborative would be essential. 

Some projects examples within the program: 

1. Test new tools/platforms such as Copilo, Fabric for commercial reporting. Testing, validation and build trust. 
2. Building algorithms for predicting trend in category, consumptions to support dashboards. 
3. Revenue Growth Management, create/understand the algorithms behind the tools (can be built by 3rd parties) we need to maintain or choose to improve. Able to prioritize and build product roadmap. Able to design new solutions and articulate/quantify the limitation of the solutions. 
4. Demand forecasting, create localized forecasts to improve in store availability. Proper model monitoring for early detection of potential issues in the forecast focusing particularly on improving the end user experience. 

KEY RESPONSIBILITIES

·      Develop high-quality database solutions.

·      Use T-SQL to develop and implement procedures and functions.

·      Review and interpret ongoing business report requirements.

·      Research required data.

·      Build appropriate and useful reporting deliverables.

·      Analyze existing SQL queries for performance improvements.

·      Suggest new queries.

·      Develop procedures and scripts for data migration.

·      Provide timely scheduled management reporting.

·      Investigate exceptions with regard to asset movements.

MUST-HAVES FOR THIS GIG

T-SQL, Stored Procedure, Functions, Triggers, XML Operations, JSON support on SQL 2016 and above SSIS, SSRS, CTE, EAV Data structure, Integration with NoSQL(MongoDB), SQL Server Indexes, Bulk Insert, BCP, CMD Shell ,Memory Optimization, Performance Tunning, Query Optimization, Database Designing, Table Joins, SQL Server Job agent

Backup and Maintenance plan ,Data Migration, Good Communication

NICE-TO-HAVES FOR THIS GIG:

• Working knowledge of mobile development activity.
• Working knowledge of web hosting solution on IIS7.

Experience working with an offshore –onsite development process 

Title:- Data Scientist

Experience:-6 years

Work Mode:- Onsite

Primary Skills:- Data Science, SQL, Python, Data Modelling, Azure, AWS, Banking Domain (BFSI/NBFC)

Qualification:- Any

Roles & Responsibilities:-

1.  Acquiring, cleaning, and preprocessing raw data for analysis.

2.  Utilizing statistical methods and tools for analyzing and interpreting complex  datasets.

3.  Developing and implementing machine learning models for predictive analysis.

4.  Creating visualizations to effectively communicate insights to both technical and   non-technical stakeholders.

5.  Collaborating with cross-functional teams, including data engineers, business   analysts, and domain experts.

6.  Evaluating and optimizing the performance of machine learning models for   accuracy and efficiency.

7.  Identifying patterns and trends within data to inform business decision-making.

8.  Staying updated on the latest advancements in data science, machine learning, and  relevant technologies.

Requirement:- 

1.  Experience with modeling techniques such as Linear Regression, clustering, and classification techniques.

2.  Must have a passion for data, structured or unstructured.  0.6 – 5 years of hands-on experience with Python and SQL is a must.

3.   Should have sound experience in data mining, data analysis and machine learning techniques.

4.  Excellent critical thinking, verbal and written communications skills.

5.  Ability and desire to work in a proactive, highly engaging, high-pressure, client service environment.

6.   Good presentation skills.

 PLSQL  Developer

experience of 4 to 6 years

Skills- MS SQl Server and Oracle, AWS or Azure

•            Experience in setting up RDS service in cloud technologies such as AWS or Azure

•            Strong proficiency with SQL and its variation among popular databases

•            Should be well-versed in writing stored procedures, functions, packages, using collections,

•            Skilled at optimizing large, complicated SQL statements.

•            Should have worked in migration projects.

•            Should have worked on creating reports.

•            Should be able to distinguish between normalized and de-normalized data modelling designs and use cases.

•            Knowledge of best practices when dealing with relational databases

•            Capable of troubleshooting common database issues

•            Familiar with tools that can aid with profiling server resource usage and optimizing it.

•            Proficient understanding of code versioning tools such as Git and SVN

Job Summary

• Candidate will be responsible for providing full life-cycle development (design, coding, and testing) and maintenance of web-based system on Azure
• Candidate should have experience in GitHub, knowledge of DevOps is a plus
• Experienced in designing and implementing web portals, experience with DNN is must
• Ability to work with multiple languages including C#, ASP.Net, MVC, Javascript and related libraries, HTML, Complex SQL queries, CSS, BootStrap, JSON.
• Experience in Agile project management methodology
• Developing and Delivering Excellent Web based solutions/portals/sites based on customer’s requirement within the stipulated timeline
• The candidate should be flexible to learn new technology and platform and should be creative, innovative for improvement ideas, detail oriented, diligent, and eager to learn and grow

Duties and Responsibilities

• Understand business requirements to apply logic to integrate functionalities
• Identify and understand any technical bugs on the server, site, log files or modules and work on resolving the bugs
• Understand how FTP server is setup for the site
• Understand system/site technical requirements and suggest enhancements if applicable
• Designing, coding, unit Testing, and integration with Database
• Handle site deployment
• Designing, coding, debugging, technical problem solving, and writing Unit Test cases, etc.

Qualifications

Education / Certification

• B.E. / B.Tech. /MSC in Computer Science or IT.
• MCAD/MCSD/MSITP/MCPD

Technical Expertise

• ASP/ASP.NET/VB.NET/MVC/C#/SQL Server 2012+
• HTML, Javascript, Jquery, CSS, Bootstrap
• GitHub/DevOps, Azure
• Web API/ Web Services, Email Services

Skills and Abilities

• Be able to work with diverse global teams and in an individual contributor role as needed
• Excellent English written and verbal communication skills (for local team and global stakeholders/team members)
• Strong task management skills including time management, and ability to manage multiple projects simultaneously
• Flexibility required to attend late evening meetings with global team members
• Attention to detail and delivering quality projects and knowledge assets

Job title: Azure Architect

Locations: Noida, Pune, Bangalore and Mumbai

Responsibilities:

• Develop and maintain scalable architecture, database design and data pipelines and build out new Data Source integrations to support continuing increases in data volume and complexity
• Design and Develop the Data lake, Data warehouse using Azure Cloud Services
• Assist in designing end to end data and Analytics solution architecture and perform POCs within Azure
• Drive the design, sizing, POC setup, etc. of Azure environments and related services for the use cases and the solutions
• Reviews the solution requirements support architecture design to ensure the selection of appropriate technology, efficient use of resources and integration of multiple systems and technology.
• Must possess good client-facing experience with the ability to facilitate requirements sessions and lead teams
• Support internal presentations to technical and business teams
• Provide technical guidance, mentoring and code review, design level technical best practices

Experience Needed:

• 12-15 years of industry experience and at least 3 years of experience in architect role is required along with at least 3 to 4 years’ experience designing and building analytics solutions in Azure.
• Experience in architecting data ingestion/integration frameworks capable of processing structured, semi-structured & unstructured data sets in batch & real-time
• Hands-on experience in the design of reporting schemas, data marts and development of reporting solutions
• Develop batch processing, streaming and integration solutions and process Structured and Non-Structured Data
• Demonstrated experience with ETL development both on-premises and in the cloud using SSIS, Data Factory, and Azure Analysis Services and other ETL technologies.
• Experience in Perform Design, Development & Deployment using Azure Services ( Azure Synapse, Data Factory, Azure Data Lake Storage, Databricks, Python and SSIS)
• Worked with transactional, temporal, time series, and structured and unstructured data.
• Deep understanding of the operational dependencies of applications, networks, systems, security, and policy (both on-premise and in the cloud; VMs, Networking, VPN (Express Route), Active Directory, Storage (Blob, etc.), Windows/Linux).

Mandatory Skills: Azure Synapse, Data Factory, Azure Data Lake Storage, Azure DW, Databricks, Python

• Proficiency in Integration of various Azure resources (IaaS and PaaS - SQL DB , App Service , Application Insights , databricks , Storage accounts etc) to deliver an end to end automation.
• Thorough understanding of Continuous integration and continuous delivery using Azure DevOps/VSTS.
• Performing cost analysis of the Azure platform to identify where cost efficiencies could be had.
• Proficiency and thorough understanding of Azure RBAC model.
• Sound understanding of Azure Active directory and conditional access policies.
• Good grasp of Azure governance principles and hands-on experience in rolling out compliance and governance polices.
• Proficiency in developing infrastructure automation scripts in the form of ARM templates and Azure Power Shell scripts which can then be provided to application teams as consumables.
• Effective communication skills, both written and verbal for technical and non-technical audiences.
• Good working and hands on knowledge of Azure IaaS , Vnet , Subnets , Firewalls and NSG. Sound understanding of networking knowledge on DNA and Firewall security like Palo Alto.
• Experience working with Confluence, JIRA, Bitbucket, git, Jenkins, Sonar for collaboration and continuous integration.
• Experience with agile methods, along with having found their limitations and ways to overcome them.