Wissen Technology

Role: Azure Fabric Data Engineer

Experience: 5–10 Years

Location: Pune/Bangalore

Employment Type: Full-Time

About the Role

We are looking for an experienced Azure Data Engineer with strong expertise in Microsoft Fabric and Power BI to build scalable data pipelines, Lakehouse architectures, and enterprise analytics solutions on the Azure cloud.

Key Responsibilities

• Design & build data pipelines using Microsoft Fabric (Pipelines, Dataflows Gen2, Notebooks).
• Develop and optimize Lakehouse / Data Lake / Delta Lake architectures.
• Build ETL/ELT workflows using Fabric, Azure Data Factory, or Synapse.
• Create and optimize Power BI datasets, data models, and DAX calculations.
• Implement semantic models, incremental refresh, and Direct Lake/DirectQuery.
• Work with Azure services: ADLS Gen2, Azure SQL, Synapse, Event Hub, Functions, Databricks.
• Build dimensional models (Star/Snowflake) and support BI teams.
• Ensure data governance & security using Purview, RBAC, and AAD.

Required Skills

• Strong hands-on experience with Microsoft Fabric (Lakehouse, Pipelines, Dataflows, Notebooks).
• Expertise in Power BI (DAX, modeling, Dataflows, optimized datasets).
• Deep knowledge of Azure Data Engineering stack (ADF, ADLS, Synapse, SQL).
• Strong SQL, Python/PySpark skills.
• Experience in Delta Lake, Medallion architecture, and data quality frameworks.

Nice to Have

• Azure Certifications (DP-203, PL-300, Fabric Analytics Engineer).
• Experience with CI/CD (Azure DevOps/GitHub).
• Databricks experience (preferred).

Note: One Technical round is mandatory to be taken F2F from either Pune or Bangalore office

JD : 

Scope of Responsibilities

• Communicate with data providers to source appropriate data content and formats within required timelines.
• Evaluate completeness and accuracy of input data, working closely with internal teams and hedge fund managers.
• Reconcile input data with other data points, clear exceptions/rejects, and perform mapping/modeling of positions.
• Collaborate closely with team members across locations, particularly Mumbai.
• Report progress, metrics, and queue status to management.
• Maintain relationships with fund administrators and hedge funds.
• Support expansion of hedge fund coverage within the transparency business.
• Handle ad-hoc analytical or operational requests as required.

Required Skills and Knowledge

• Strong attention to detail, organization, and adherence to deadlines.
• Effective problem-solving and collaboration skills.
• Financial background with understanding of derivatives, global markets, investment instruments, and risk management.
• High proficiency in Microsoft Excel.
• Experience working with large datasets or market data systems is preferred.
• Derivatives knowledge is a must.

Desired Experience and Qualifications

• 2–3 years of relevant experience; internships in financial investment or data-management roles are a plus.
• Bachelor’s degree in Economics, Business, or Finance.
• Strong English communication skills (verbal and written).
• General knowledge of stocks, bonds, futures, forwards, and options.
• CFA candidacy preferred.
•  

SKILLS:

1.  Derivatives
2. global markets, investment instruments, and risk management.
3. Data analysis using excel
4. Portfolio Risk analysis & reporting
5. Market data system 
6. Hedge Fund
7. Reconciliation

Role Overview

We are looking for a Linux Engineer with strong expertise in Red Hat Enterprise Linux (RHEL) and Identity Management (IdM) to manage centralized authentication, access control, directory services, and secure identity operations across Linux systems.

Key Responsibilities

• Install, configure, and maintain Red Hat Identity Management (IdM) / FreeIPA.
• Manage identity lifecycle: users, groups, roles, sudo rules, HBAC policies.
• Configure and troubleshoot SSSD, LDAP, Kerberos, and PAM authentication.
• Integrate Linux servers with Active Directory using trusts or SSSD.
• Manage DNS, certificates (Dogtag CA), and multi-master replication within IdM.
• Join and enroll Linux hosts into the IdM domain.
• Automate identity operations using Ansible and shell scripting.
• Troubleshoot authentication/login issues across servers and applications.
• Work closely with security and platform teams to enforce IAM/IAP policies.

Required Skills

• Strong RHEL/Linux administration skills.
• Hands-on experience with RedHat IdM / FreeIPA.
• Deep understanding of LDAP, Kerberos, SSSD, DNS, and PKI.
• Experience integrating Linux with AD.
• Shell scripting; Ansible automation experience.

Good to Have

• Exposure to Okta, Azure AD, Keycloak, or other IAM platforms.
• Cloud (AWS/Azure/GCP) experience.
• Security hardening knowledge.

Note: One technical round is mandatory to be taken either from Baner, Pune or Bellandur, Bangalore office.

Job Description: Python Engineer

Role Summary

We are looking for a talented Python Engineer to design, develop, and maintain high-quality backend applications and automation solutions. The ideal candidate should have strong programming skills, familiarity with modern development practices, and the ability to work in a fast-paced, collaborative environment.

Key Responsibilities:

Python Development & Automation

• Design, develop, and maintain Python scripts, tools, and automation frameworks.
• Build automation for operational tasks such as deployment, monitoring, system checks, and maintenance.
• Write clean, modular, and well-documented Python code following best practices.
• Develop APIs, CLI tools, or microservices when required.

Linux Systems Engineering

• Manage, configure, and troubleshoot Linux environments (RHEL, CentOS, Ubuntu).
• Perform system performance tuning, log analysis, and root-cause diagnostics.
• Work with system services, processes, networking, file systems, and security controls.
• Implement shell scripting (bash) alongside Python for system-level automation.

CI/CD & Infrastructure Support

• Support integration of Python automation into CI/CD pipelines (Jenkins).
• Participate in build and release processes for infrastructure components.
• Ensure automation aligns with established infrastructure standards and governance.
• Use Bash scripting together with Python to improve automation efficiency.

Cloud & DevOps Collaboration (if applicable)

• Collaborate with Cloud/DevOps engineers on automation for AWS or other cloud platforms.
• Integrate Python tools with configuration management tools such as Chef or Ansible, or with Terraform modules.
• Contribute to containerization efforts (Docker, Kubernetes) leveraging Python automation.

Role: Mid–Senior Cloud Infrastructure Engineer

Type: Individual Contributor

Location: Baner, Pune

Experience: 4–9 years

About the Role

We are establishing a Mid–Senior Cloud Infrastructure Engineer CoE with a focus on cloud-native automation. As a Cloud Infrastructure Engineer, you will design, automate, and maintain AWS infrastructure using Terraform following IaC and platform engineering best practices.

Key Responsibilities

• Build, automate, and maintain AWS infrastructure using Terraform (remote state, modules, pipelines).
• Design secure, scalable AWS environments (VPC, EC2, IAM, ALB/NLB, S3, RDS, Lambda, ECS/EKS preferred).
• Create reusable Terraform modules for platform-wide standardization.
• Automate provisioning workflows for Linux and Windows environments.
• Integrate IaC into CI/CD (Jenkins/GitHub Actions/GitLab).
• Manage environment lifecycle: dev → test → stage → prod.
• Implement cost optimization, tagging strategies, and operational guardrails.
• Maintain infrastructure documentation and reusable patterns.
• Troubleshoot cloud deployments, networking, IAM policies, and automation issues.

Required Skills

• Strong hands-on experience with AWS services.
• Solid expertise with Terraform (workspaces, state mgmt, modules, CI/CD integration).
• Understanding of multi-tier architectures, networking, security groups, IAM.
• Familiarity with Linux/Windows system administration.
• Knowledge of scripting (Python/Bash/PowerShell).

Good to Have

• AWS Certified (SA / SysOps / DevOps — not mandatory).
• Experience with container orchestration (ECS/EKS).
• Experience with monitoring tools (CloudWatch, Grafana, Prometheus).

Soft Skills

• Strong analytical and troubleshooting capability.
• Ability to collaborate closely with DevOps/Platform teams.

NOTE: 2nd Technical round has to be taken F2F from Baner Office in Pune.

Experience- 6 to 8 years

Location- Bangalore

Job Description-

- Extensive experience with machine learning utilizing the latest analytical models in Python. (i.e., experience in generating data-driven insights that play a key role in rapid decision-making and driving business outcomes.)

- Extensive experience using Tableau, table design, PowerApps, Power BI, Power Automate, and cloud environments, or equivalent experience designing/implementing data analysis pipelines and visualization.

- Extensive experience using AI agent platforms. (AI = data analysis: a required skill for data analysts.)

- A statistics major or equivalent understanding of statistical analysis results interpretation.

Job Description below:

Required Skill Set

Senior Software Engineer- Java

• Experience in Core Java 5.0 and above, Data Structures, OOPS, Multithreading, Algorithms, Collections, Unix/Linux
• Possess good architectural knowledge and be aware of enterprise application design patterns.
• Should have the ability to analyze, design, develop and test complex, low-latency client-facing applications.
• Good development experience with RDBMS
• Good knowledge of multi-threading and high-volume server-side development
• Basic working knowledge of Unix/Linux
• Excellent problem solving and coding skills in Java
• Strong interpersonal, communication and analytical skills.
• Should have the ability to express their design ideas and thoughts.

Job Brief-

·       Understand product requirements and come up with solution approaches

·       Build and enhance large scale domain centric applications

·       Deploy high quality deliverables into production adhering to the security, compliance and SDLC guidelines

This role focused entirely on the manual implementation of changes within the Google Ads platform, based on detailed input provided by Client Business team. The ideal candidate thrives in an execution-focused role, ensuring accuracy and efficiency in translating strategic input into platform updates.

Job Description:

Key Responsibilities

The primary focus of this role is the accurate and timely execution of changes and reporting across multiple Google Ads accounts, specifically involving    

1. Execution of Campaign Strategies & Quality Assurance:
2. 
   

This involves the manual and precise implementation of all specified campaign levers based on provided input files, with a strict focus on accuracy:

o  Campaign Implementation: Manual execution and verification of changes related to campaign structure, assets, audience signals, search themes, location targets, bid adjustments, negative keywords, etc. based on detailed input files.

o  Conversion Tracking Implementation: Uploading Google Click IDs (GCLIDs) to the Google Ads platform for offline conversion tracking and measurement, ensuring correct mapping and adherence to privacy protocols.

o  Data Translation & Accuracy: Meticulously reviewing and translating inputs from Excel/Google Sheets into the live Google Ads UI, ensuring zero-error implementation.

o  Quality Assurance: Maintaining a comprehensive log of all executed changes for quality assurance and audit purposes.

     2.  Performance Tracking and Reporting:

 This involves the collection, processing, and presentation of campaign data to support business decisions:

o  Campaign Monitoring: Tracking overall campaign details, performance metrics, and budgets on a daily or weekly basis to ensure operational health.

o  Manual Report Creation: Creating and updating manual performance reports for dealers and internal stakeholders using Google Ads UI reports or internal databases using SQL, ensuring data accuracy and timely delivery.

Required Qualifications

o  Experience: Minimum of 1+ years of hands-on, practical experience exclusively executing changes within the Google Ads UI and Google Analytics/ Tags Manager across multiple accounts. 3 to 5 years of experience overall.

o  Platform Proficiency: Working knowledge of the Google Ads UI, including the ability to navigate complex account structures and features (specifically Performance Max campaigns).

o  Technical Data Expertise: Demonstrated ability to work with large data sets and perform manual data pulls using:

§ SQL (Expertise Required): Ability to execute queries for report generation and data verification.

§ Excel/Google Sheets: Advanced proficiency for data manipulation, cleaning, and presentation.

o  Attention to Detail: Exceptional focus on detail and accuracy is non-negotiable. Must be capable of translating detailed spreadsheet data into the live platform without errors.

o  Process Driven: Proven ability to follow standardized, step-by-step instructions and processes efficiently and consistently.

o  Communication: Clear written communication skills to report on task status and flag any discrepancies in input files. It will be a differentiator if they also add value by pushing and pulling using their existing knowledge and help in doing the right thing.

Preferred Qualifications

o  Prior experience working on high-volume, highly complex Google Ads accounts.

o  Understanding of the purpose behind the executed tasks (e.g., how negative keywords impact campaigns, the function of Audience Signals).

Job Description : 

Scope of Responsibilities

Communicate with data providers to source appropriate data content and formats within required timelines.

Evaluate completeness and accuracy of input data, working closely with internal teams and hedge fund managers.

Reconcile input data with other data points, clear exceptions/rejects, and perform mapping/modeling of positions.

Collaborate closely with team members across locations, particularly Mumbai.

Report progress, metrics, and queue status to management.

Maintain relationships with fund administrators and hedge funds.

Support expansion of hedge fund coverage within the transparency business.

Handle ad-hoc analytical or operational requests as required.

Required Skills and Knowledge:

Strong attention to detail, organization, and adherence to deadlines.

Effective problem-solving and collaboration skills.

Financial background with understanding of derivatives, global markets, investment instruments, and risk management.

High proficiency in Microsoft Excel.

Experience working with large datasets or market data systems is preferred.

Derivatives knowledge is a must.

Job Description.

1.      Cloud experience (Any cloud is fine although AWS is preferred. If non-AWS cloud, then the experience should reflect familiarity with the cloud's common services)

2.      Good grasp of Scripting (in Linux for sure ie bash/sh/zsh etc, Windows : nice to have)

3.      Python or Java or JS basic knowledge (Python Preferred)

4.      Monitoring tools

5.      Alerting tools

6.      Logging tools

7.      CICD

8.      Docker/containers/(k8s/terraform nice to have)

9.      Experience working on distributed applications with multiple services

10.  Incident management

11.  DB experience in terms of basic queries

12.  Understanding of performance analysis of applications

13.  Idea about data pipelines would be nice to have

14.  Snowflake querying knowledge: nice to have

The person should be able to :

Monitor system issues

Create strategies to detect and address issues

Implement automated systems to troubleshoot and resolve issues.

Write and review post-mortems

Manage infrastructure for multiple product teams

Collaborate with product engineering teams to ensure best practices are being followed