Digital & Social Media Strategist

Springer Capital is a cross-border asset management firm focused on real estate investment banking in China and the USA. We are offering a remote internship for individuals passionate about automation, cloud infrastructure, and CI/CD pipelines. Start and end dates are flexible, and applicants may be asked to complete a short technical quiz or assignment as part of the application process. 

Responsibilities: 

▪ Assist in building and maintaining CI/CD pipelines to automate development workflows 

▪ Monitor and improve system performance, reliability, and scalability 

▪ Manage cloud-based infrastructure (e.g., AWS, Azure, or GCP) 

▪ Support containerization and orchestration using Docker and Kubernetes 

▪ Implement infrastructure as code using tools like Terraform or CloudFormation 

▪ Collaborate with software engineering and data teams to streamline deployments 

▪ Troubleshoot system and deployment issues across development and production environments 

ZenTrades AI is looking for a high-ownership Talent Acquisition Partner to own end-to-end hiring as we scale our teams. This is a core business role, not a support function. You will work closely with leadership and hiring managers to build strong, high-performing teams in a fast-growing SaaS environment.

This role is ideal for someone who has scaled teams in startups before, understands the pace and ambiguity of growth, and enjoys building hiring processes that actually work.

What You’ll Own

Own end-to-end recruitment across tech and non-tech roles

Partner with business leaders on hiring plans, role design, and talent strategy

Build and manage talent pipelines through proactive sourcing, referrals, and networks

Drive a strong candidate experience aligned with our culture

Continuously improve interview frameworks, hiring processes, and TA metrics

Act as a trusted hiring partner to stakeholders

What We’re Looking For

3–6 years of Talent Acquisition experience in startups / high-growth SaaS companies

Proven track record of scaling teams in fast-paced environments

Ability to own hiring independently with minimal hand-holding

Strong stakeholder management and communication skills

Comfort working in ambiguity, speed, and changing priorities

What This Is NOT

A coordination-only or sourcing-only role

A role with narrow scope or limited ownership

Why Join Clara AI

Opportunity to own hiring impact at scale

Work closely with leadership and key business teams

Build and evolve hiring processes and talent strategy

Clear growth path into TA Lead / People Partner roles

Who Will Thrive Here

Recruiters who have built and scaled teams in startups

People who think business-first, not process-first

Individuals who take ownership of outcomes, not just activities

What You Will Do :

As a Data Governance Lead at Kanerika, you will be responsible for defining, leading, and operationalizing the data governance framework, ensuring enterprise-wide alignment and regulatory compliance.

Required Qualifications :

- 7+ years of experience in data governance and data management.

- Proficient in Microsoft Purview and Informatica data governance tools.

- Strong in metadata management, lineage mapping, classification, and security.

- Experience with ADF, REST APIs, Talend, dbt, and automation via Azure tools.

- Knowledge of GDPR, CCPA, HIPAA, SOX and related compliance needs.

- Skilled in bridging technical governance with business and compliance goals.

Tools & Technologies :

- Microsoft Purview, Collibra, Atlan, Informatica Axon, IBM IG Catalog

- Microsoft Purview capabilities :

1. Label creation & policy setup

2. Auto-labeling & DLP

3. Compliance Manager, Insider Risk, Records & Lifecycle Management

4. Unified Catalog, eDiscovery, Data Map, Audit, Compliance alerts, DSPM.

Key Responsibilities :

1. Governance Strategy & Stakeholder Alignment :

- Develop and maintain enterprise data governance strategies, policies, and standards.

- Align governance with business goals : compliance, analytics, and decision-making.

- Collaborate across business, IT, legal, and compliance teams for role alignment.

- Drive governance training, awareness, and change management programs.

2. Microsoft Purview Administration & Implementation :

- Manage Microsoft Purview accounts, collections, and RBAC aligned to org structure.

- Optimize Purview setup for large-scale environments (50TB+).

- Integrate with Azure Data Lake, Synapse, SQL DB, Power BI, Snowflake.

- Schedule scans, set classification jobs, and maintain collection hierarchies.

3. Metadata & Lineage Management :

- Design metadata repositories and maintain business glossaries and data dictionaries.

- Implement ingestion workflows via ADF, REST APIs, PowerShell, Azure Functions.

- Ensure lineage mapping (ADF ? Synapse ? Power BI) and impact analysis.

4. Data Classification & Security Governance :

- Define classification rules and sensitivity labels (PII, PCI, PHI).

- Integrate with MIP, DLP, Insider Risk Management, and Compliance Manager.

- Enforce records management, lifecycle policies, and information barriers.

5. Data Quality & Policy Management :

- Define KPIs and dashboards to monitor data quality across domains.

- Collaborate on rule design, remediation workflows, and exception handling.

- Ensure policy compliance (GDPR, HIPAA, CCPA, etc.) and risk management.

6. Business Glossary & Stewardship :

- Maintain business glossary with domain owners and stewards in Purview.

- Enforce approval workflows, standard naming, and steward responsibilities.

- Conduct metadata audits for glossary and asset documentation quality.

7. Automation & Integration :

- Automate governance processes using PowerShell, Azure Functions, Logic Apps.

- Create pipelines for ingestion, lineage, glossary updates, tagging.

- Integrate with Power BI, Azure Monitor, Synapse Link, Collibra, BigID, etc.

8. Monitoring, Auditing & Compliance :

- Set up dashboards for audit logs, compliance reporting, metadata coverage.

- Oversee data lifecycle management across its phases.

- Support internal and external audit readiness with proper documentation.

Overview

Adesso India specialises in optimization of core business processes for organizations. Our focus is on providing state-of-the-art solutions that streamline operations and elevate productivity to new heights.

Comprised of a team of industry experts and experienced technology professionals, we ensure that our software development and implementations are reliable, robust, and seamlessly integrated with the latest technologies. By leveraging our extensive knowledge and skills, we empower businesses to achieve their objectives efficiently and effectively.

Job Description

We are looking for an experienced Backend and Data Developer with expertise in Java, SQL, BigQuery development working on public clouds, mainly GCP. As a Senior Data Developer, you will play a vital role in designing, building, and maintaining robust systems to support our data analytics. This position offers the opportunity to work on complex services, collaborating closely with cross-functional teams to drive successful project delivery.

Responsibilities:

Development and maintenance of data pipelines and automation scripts with Python.

Creation of data queries and optimization of database processes with SQL.

Use of bash scripts for system administration, automation and deployment processes.

Database and cloud technologies.

Managing, optimizing and querying large amounts of data in an Exasol database (prospectively Snowflake).

Google Cloud Platform (GCP): Operation and scaling of cloud-based BI solutions, in particular.

Composer (Airflow): Orchestration of data pipelines for ETL processes.

Cloud Functions: Development of serverless functions for data processing and automation.

Cloud Scheduler: Planning and automation of recurring cloud jobs.

Cloud Secret Manager: Secure storage and management of sensitive access data and API keys.

BigQuery: Processing, analyzing and querying large amounts of data in the cloud.

Cloud Storage: Storage and management of structured and unstructured data.

Cloud monitoring: monitoring the performance and stability of cloud-based applications.

Data visualization and reporting.

Creation of interactive dashboards and reports for the analysis and visualization of business data with Power BI.

Requirements:

Minimum of 4-6 years of experience in backend development, with strong expertise in BigQuery, Python and MongoDB or SQL.

Strong knowledge of database design, querying, and optimization with SQL and MongoDB and designing ETL and orchestration of data pipelines.

Expierience of minimum of 2 years with at least one hyperscaler, in best case GCP.

Combined with cloud storage technologies, cloud monitoring and cloud secret management

Excellent communication skills to effectively collaborate with team members and stakeholders.

Nice-to-Have:

Knowledge of agile methodologies and working in cross-functional, collaborative teams.

Skills & Requirements

SQL, BigQuery, GCP, Python, MongoDB, Exasol, Snowflake, Bash scripting, Airflow, Cloud Functions, Cloud Scheduler, Cloud Secret Manager, Cloud Storage, Cloud Monitoring, ETL, Data Pipelines, Power BI, Database Optimization, Cloud-Based BI Solutions, Data Processing, Data Automation, Agile Methodologies, Cross-Functional Collaboration.

Responsibilities

• Operational tasks
• Should be able to work in the US East Time zone idenpendtly 
• Ensure the day-to-day functioning of team members operating hybrid is seamless.
• Ensure all team members are provided with all the necessary software, applications, assets, etc.
• Make co-working arrangements when the need arises
• Find the best options in the procurement of assets, tools, software, and services with regard to quality and cost.
• Take necessary steps to ensure all the operational tasks are undertaken with an eye on quality and value for money.
• IT Support
• Maintain IT software, tools, and applications repository.
• User management with regards to all the required software, tools, and applications generic and project-specific.
• Purchase, renewal, and cancellation of the software, tools, and applications.
• Ensure all the software, tools and applications have the least possible downtime.
• Logistics
• Take ownership of the logistical arrangements for company initiatives, programs or events. 
• Vendor management
• Team Member Engagement
• Initiate, support, or coordinate events that play a role in team member engagement.
• Collaborate with other support teams, technology teams, and other stakeholders in their initiatives. 
• Own the health insurance platform, its user management, team member support, renewal, and cost optimization by ensuring we are getting the best from the vendor.  
• Other 
• Own timely communications to all stakeholders about new initiatives, changes, downtimes, maintenance, etc. 
• Achieve and maintain quality and efficiency in all tasks assigned.
• Align with the company's core values, respect, and adhere to all company guidelines.
• Operate with utmost integrity, behave ethically, and maintain respect for all.  
• Event management

Qualifications

• Bachelor's Degree in Human Resources or related field MBA-IT Systems/Operations, BCA with MBA. 
• Good communication skills
• Any prior experience is good to have
• People-oriented and results-driven
• Working knowledge of Google Workspace, Gmail, Docs, Sheets, Slides, and Drive. 
• Working knowledge of system and data security tools.
• Should be a tech-savvy individual with the ability to learn new tools, software, and applications. Their uses, management, and basic troubleshooting.
• The ability to work as part of a team.
• Resourceful, self-motivated, and proactive.
• Strong analytical and problem-solving skills.
• Excellent administrative and organizational skills.

• Implementing Digital Marketing activities to enhance the Fanztar community.
• Learning different Email/WhatsApp marketing activities and executing the same.
• Increasing Brand Awareness in your institution.
• Providing support assistance for customer queries.

• 6+ months of proven experience as a Data Scientist or Data Analyst
• Understanding of machine-learning and operations research
• Extensive knowledge of R, SQL and Excel
• Analytical mind and business acumen
• Strong Statistical understanding
• Problem-solving aptitude
• BSc/BA in Computer Science, Engineering or relevant field; graduate degree in Data Science or other quantitative field is preferred