11+ Microsoft SQL Server Data Tools Jobs in Pune | Microsoft SQL Server Data Tools Job openings in Pune

• 6-8 years direct experience as a SQL Developer.
• 3+ years’ experience in ETL tools like SSIS, SSRS- Reports
• Proven Microsoft T-SQL skills.
• 3+ years of Data Analysis in a financial institution is preferred.
• Demonstrated knowledge of large, relational databases and data structures.
• Strong experience in database security
• Strong understanding of ETL concepts.
• Proficient in standard business and database software including: MS Office, MS Access, and SSMS.
• Experience with Agile using JIRA software, Confluence or combination of both.

Job Description

Build and maintain bots on Azure platform.  Integration with Active directory, WEB API based integration with external systems. Training and Integrate bots as per users’ requirements. Work in line with design guidelines, best practices and standards of bot deliverable. Creative approach to the conversation flow design, human aspects in the bot responses and sentiments

Qualifications

1. a) 5 years of experience in software development with clear understanding of the project life cycle
   b) Min 2-3 years of hands-on experience in Microsoft Azure Bot Framework , LUIS and other Cognitive services offered by Azure
   c) Hands on experience with Machine Learning based chat bots
   d) Experience with Azure bot services like Text Analytics etc.
   e)Strong database skills and hands-on experience on databases like SQL Server/Oracle
2. f) Strong experience on Azure Active directory and adaptive cards integration in Chat bot.
3. g) Strong experience designing and working with

with service-oriented architectures (SOA) and WebAPIs.

1. h) A strong experience on Microsoft Azure, ASPNET / MVC and programming languages such as C# / VBNET
2. i) Knowledge of Python and NodeJS is a plus
3. j) Ability to design and optimize SQL Server 2008 stored procedures.
4. k) Experience with JQuery, CSS3, HTML5 or similar technologies.
5. l) Ability to adapt quickly to an existing, complex environment.

Experience: 4+ years.

Location: Vadodara & Pune

Skills Set- Snowflake, Power Bi, ETL, SQL, Data Pipelines

What you'll be doing:

• Develop, implement, and manage scalable Snowflake data warehouse solutions using advanced features such as materialized views, task automation, and clustering.
• Design and build real-time data pipelines from Kafka and other sources into Snowflake using Kafka Connect, Snowpipe, or custom solutions for streaming data ingestion.
• Create and optimize ETL/ELT workflows using tools like DBT, Airflow, or cloud-native solutions to ensure efficient data processing and transformation.
• Tune query performance, warehouse sizing, and pipeline efficiency by utilizing Snowflakes Query Profiling, Resource Monitors, and other diagnostic tools.
• Work closely with architects, data analysts, and data scientists to translate complex business requirements into scalable technical solutions.
• Enforce data governance and security standards, including data masking, encryption, and RBAC, to meet organizational compliance requirements.
• Continuously monitor data pipelines, address performance bottlenecks, and troubleshoot issues using monitoring frameworks such as Prometheus, Grafana, or Snowflake-native tools.
• Provide technical leadership, guidance, and code reviews for junior engineers, ensuring best practices in Snowflake and Kafka development are followed.
• Research emerging tools, frameworks, and methodologies in data engineering and integrate relevant technologies into the data stack.

What you need:

Basic Skills:

• 3+ years of hands-on experience with Snowflake data platform, including data modeling, performance tuning, and optimization.
• Strong experience with Apache Kafka for stream processing and real-time data integration.
• Proficiency in SQL and ETL/ELT processes.
• Solid understanding of cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with scripting languages like Python, Shell, or similar for automation and data integration tasks.
• Familiarity with tools like dbt, Airflow, or similar orchestration platforms.
• Knowledge of data governance, security, and compliance best practices.
• Strong analytical and problem-solving skills with the ability to troubleshoot complex data issues.
• Ability to work in a collaborative team environment and communicate effectively with cross-functional teams

Responsibilities:

• Design, develop, and maintain Snowflake data warehouse solutions, leveraging advanced Snowflake features like clustering, partitioning, materialized views, and time travel to optimize performance, scalability, and data reliability.
• Architect and optimize ETL/ELT pipelines using tools such as Apache Airflow, DBT, or custom scripts, to ingest, transform, and load data into Snowflake from sources like Apache Kafka and other streaming/batch platforms.
• Work in collaboration with data architects, analysts, and data scientists to gather and translate complex business requirements into robust, scalable technical designs and implementations.
• Design and implement Apache Kafka-based real-time messaging systems to efficiently stream structured and semi-structured data into Snowflake, using Kafka Connect, KSQL, and Snow pipe for real-time ingestion.
• Monitor and resolve performance bottlenecks in queries, pipelines, and warehouse configurations using tools like Query Profile, Resource Monitors, and Task Performance Views.
• Implement automated data validation frameworks to ensure high-quality, reliable data throughout the ingestion and transformation lifecycle.
• Pipeline Monitoring and Optimization: Deploy and maintain pipeline monitoring solutions using Prometheus, Grafana, or cloud-native tools, ensuring efficient data flow, scalability, and cost-effective operations.
• Implement and enforce data governance policies, including role-based access control (RBAC), data masking, and auditing to meet compliance standards and safeguard sensitive information.
• Provide hands-on technical mentorship to junior data engineers, ensuring adherence to coding standards, design principles, and best practices in Snowflake, Kafka, and cloud data engineering.
• Stay current with advancements in Snowflake, Kafka, cloud services (AWS, Azure, GCP), and data engineering trends, and proactively apply new tools and methodologies to enhance the data platform. 

Software Engineer

Opportunity in this role / Why should you join us?

- You are your own master.  We don't preach you, we just allow you to Innovate, Iterate, Learn and Adapt

- Work with one of India's leading fintech unicorn company

- ESOPs in the company

Requirements

• 3+ years and above exposure in the art of writing codes and solving problems for large scale
• Extensive and expert programming experience in any one programming language (strong OOPS skills preferred). Deep experience in a java programming language
• A solid foundation in computer science, with strong competencies in data structures, algorithms, and software design.
• Have a penchant for solving complex and interesting problems.
• BE/BTech, MTech in Computer Science or related technical discipline (or equivalent).
• Excellent coding skills – should be able to convert the design into code fluently Good skills to write unit & integration tests with reasonable coverage of code & interfaces - TDD is a plus
• Experience in building highly scalable business applications, which involve implementing large complex business flows and dealing with the huge amount of data. Experience with

multi-threading and concurrency programming

• Ability to switch between the technologies and learn new skills on the go.

Roles and Responsibilities

• Drive discussions to create/improve the product, process and technology
• Build abstractions and contracts with separation of concerns for a larger scope
• Rapid prototyping
• Robust and scalable web-based applications
• Do high-level design with guidance; Functional modelling, break-down of a module
• Thinking platforms & reuse, the open-source contribution will be a plus
• Do incremental changes to architecture: impact analysis of the same
• Do performance tuning and improvements in large scale distributed systems
• Mentor young minds and foster team spirit.

We are on the lookout for a dynamic and driven individual for the role of Pre Sales Executive.

What will you do every day?

- The role requires a good blend of technical, product, and interpersonal skills with a passion to provide every necessary support to the front-end sales team to close large-scale enterprise deals.

- You will, on a day-to-day basis, work with various external clients & internal teams trying to bridge the gaps between solutions & selling.

- You will also come up with different collaterals which will help scale up the complete process across industry and geography.

Responsibilities :

- Understand client needs and business challenges to architect a workable solution with a convincing value proposition by collaborating with multiple cross-functional teams

- Manage relationships and with some of NeuroTags' largest strategic accounts and work closely with their teams to achieve the business objectives

- Use the domain & product experience, coupled with sales expertise, to craft sales pitches, client-specific collaterals, and demos for the sales team

- Manage the entire proposal lifecycle which will include scope finalization, solution review, commercials, and proposal submission.

- Analyze market data to determine the ideal customer for NeuroTags' solutions. 

- Own the platform demos & Proof of Concepts. Understand the business use case, and create prototypes for the client

- Responsible for identifying opportunities and giving feedback to the product team to ensure a differentiated product roadmap

Requirements :

- 1-3 years of experience in Pre Sales/ Sales.

- Demonstration of critical product and consumer thinking during his/her career.
- Should be comfortable to do technical writing & creating impactful presentations
- Has a good understanding of SDKs and APIs and a good ability to troubleshoot issues
- Excellent communication skills and experience dealing with multiple stakeholders
- Experience in managing a team will be a plus

The kind of candidates we are looking who has good experience in support role, Must work in L1 &L2,  ready to work in 24/7 environment,  good to have someone worked in ERP OR Mobile App Support.

Job Requirement: 
• Good understanding of QA methodologies, procedures and QA documentation. Design, develop and maintain test cases.
• Work closely with onsite team & client on Application Support, Maintenance & Implementation tasks.
• Must be able to perform detailed analysis from logs, Query results for an issue reported
• Must be willing to work work in Shift Environment including night shifts and in 24x7 mode, even on Public Holidays as per roaster setup.
• Ready to travel on client site (even on short notice)
• Have sound knowledge about at least one Incident Management system/application.
• Can able to work as an individual contributor and within team as well
• Maintain relevant status reports, in timely manner
• Self-motivated, goal oriented, self-driven, strong interpersonal skills

Desired Candidate Profile:
• IT Graduate
• 3-5 years of technical experience in Application Support, Maintenance & Implementation projects, on a complex environment.
• Recent 2 years of experience in Logistics (Shipping) industry, preferably. Knowledge of Container port Operations is Preferrable