
Job Description: Data Engineer
Position Overview:
Role Overview
We are seeking a skilled Python Data Engineer with expertise in designing and implementing data solutions using the AWS cloud platform. The ideal candidate will be responsible for building and maintaining scalable, efficient, and secure data pipelines while leveraging Python and AWS services to enable robust data analytics and decision-making processes.
Key Responsibilities
· Design, develop, and optimize data pipelines using Python and AWS services such as Glue, Lambda, S3, EMR, Redshift, Athena, and Kinesis.
· Implement ETL/ELT processes to extract, transform, and load data from various sources into centralized repositories (e.g., data lakes or data warehouses).
· Collaborate with cross-functional teams to understand business requirements and translate them into scalable data solutions.
· Monitor, troubleshoot, and enhance data workflows for performance and cost optimization.
· Ensure data quality and consistency by implementing validation and governance practices.
· Work on data security best practices in compliance with organizational policies and regulations.
· Automate repetitive data engineering tasks using Python scripts and frameworks.
· Leverage CI/CD pipelines for deployment of data workflows on AWS.

About Wissen Technology
About
The Wissen Group was founded in the year 2000. Wissen Technology, a part of Wissen Group, was established in the year 2015. Wissen Technology is a specialized technology company that delivers high-end consulting for organizations in the Banking & Finance, Telecom, and Healthcare domains.
With offices in US, India, UK, Australia, Mexico, and Canada, we offer an array of services including Application Development, Artificial Intelligence & Machine Learning, Big Data & Analytics, Visualization & Business Intelligence, Robotic Process Automation, Cloud, Mobility, Agile & DevOps, Quality Assurance & Test Automation.
Leveraging our multi-site operations in the USA and India and availability of world-class infrastructure, we offer a combination of on-site, off-site and offshore service models. Our technical competencies, proactive management approach, proven methodologies, committed support and the ability to quickly react to urgent needs make us a valued partner for any kind of Digital Enablement Services, Managed Services, or Business Services.
We believe that the technology and thought leadership that we command in the industry is the direct result of the kind of people we have been able to attract, to form this organization (you are one of them!).
Our workforce consists of 1000+ highly skilled professionals, with leadership and senior management executives who have graduated from Ivy League Universities like MIT, Wharton, IITs, IIMs, and BITS and with rich work experience in some of the biggest companies in the world.
Wissen Technology has been certified as a Great Place to Work®. The technology and thought leadership that the company commands in the industry is the direct result of the kind of people Wissen has been able to attract. Wissen is committed to providing them the best possible opportunities and careers, which extends to providing the best possible experience and value to our clients.
Connect with the team
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2014, Moshi Moshi is a young, creative, gutsy and committed communication company that wants its clients to always Expect the EXTRA from it. Our primary clientele consists of Startups & Corporates
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Job Role - Social Media Executive
Experience Level - 1 year
Location - Bangalore
Responsibilities:
● Create Campaign Strategies and monitor the execution to achieve the brand objective
● Objective Identification and delivery via curating the best digital strategy
● Managing and Supervising Facebook ads, Instagram Ads, Twitter Ads, and Linkedin Ads
● Handling social pages of Instagram, Facebook, LinkedIn, etc.
● Develop, implement and manage a brand's social media strategy on a monthly basis.
● Define the most important social media KPIs.
● In-depth knowledge of paid marketing and daily implementation, reporting, and running of paid marketing on all social platforms.
● Measure the success of every social media campaign, as per required metrics
● Stay up to date with the latest social media best practices and updates
● Work with copywriters and designers to ensure content is informative and appealing or has relevant writing capability.
● Monitor SEO and user engagement and suggest content optimization.
● Communicate with industry professionals and influencers to create a strong network via social media.
● Provide constructive feedback to the team and train them to achieve desired results.
Job Title : Network Security L3 Engineer
Experience : 5+ Years
Location : Vietnam, Philippines, Indonesia & Remote
Timing : General Shift
Country : We are currently focusing only on the SEA regions (Vietnam, the Philippines, and Indonesia)
Interview Rounds : 3 Rounds
Job Summary :
We are looking for a skilled Network Security L3 Engineer with 5+ Years of hands-on experience in managing and securing enterprise infrastructure.
The role involves working with firewalls, IDS/IPS, proxies, WAF, and email gateways across technologies like - Palo Alto, Juniper SRX, Fortigate, McAfee, Zscaler, Akamai, and Cisco Ironport.
Mandatory Skills : Palo Alto, Juniper SRX, Fortigate, McAfee IDS/IPS, Zscaler/McAfee Proxy, Akamai WAF, Cisco Ironport, incident response, network security protocols, and AlgoSec.
Key Responsibilities :
- Configure, manage & troubleshoot firewalls (Palo Alto, Juniper, Fortigate).
- Monitor IDS/IPS (McAfee), handle threat alerts & incident response.
- Manage proxy solutions (Zscaler/McAfee) & email gateways (Cisco Ironport).
- Administer Akamai WAF and ensure web app protection.
- Support DDoS protection (Arbor), DNS security (Umbrella), and NAC (Cisco ISE).
- Lead escalations, support audits, and mentor junior engineers.
Must-Have Skills :
- Strong expertise in network security tools & protocols.
- Experience with AlgoSec, FireEye, Cisco ASA/Firepower.
- Solid understanding of security policies and compliance.
Preferred Certifications :
- PCNSA/PCNSE (Palo Alto)
- JNCIA/JNCIP (Juniper)
- ZIA-A/ZIA-P (Zscaler)
- CISSP or equivalent (preferred)
Job Summary
We are looking for a Marketing Data Engineering Specialist who can manage our real-estate
lead delivery pipelines, integrate APIs, automate data workflows, and support performance
marketing with accurate insights. The ideal candidate understands marketing funnels and has
strong skills in API integrations, data analysis, automation, and server deployments.
Key Responsibilities
Manage inbound/outbound lead flows through APIs, webhooks, and sheet-based
integrations.
Clean, validate, and automate datasets using Python, Excel, and ETL workflows.
Analyse lead feedback (RNR, NT, QL, SV, Booking) and generate actionable insights.
Build and maintain automated reporting dashboards.
Deploy Python scripts/notebooks on Linux servers and monitor cron jobs/logs.
Work closely with marketing, client servicing, and data teams to improve lead quality
and campaign performance.
Required Skills
Python (Pandas, API requests), Advanced Excel, SQL
REST APIs, JSON, authentication handling
Linux server deployment (cron, logs)
Data visualization tools (Excel, Google Looker Studio preferred)
Strong understanding of performance marketing metrics and funnels
Qualifications
Bachelor’s degree in Engineering/CS/Maths/Statistics/Marketing Analytics or related
field.
Minimum 3 years of experience in marketing analytics, data engineering, or
marketing operations.
Preferred Traits
Detail-oriented, analytical, strong problem-solver
Ability to work in fast-paced environments
Good communication and documentation skills
- Coding Complex Modules
- Code review and enforcing best practices
- Improve application architecture
- Constantly improve his/her own skill set
- Customisation to existing open souce and custom built applications
- Building a knowledge base of the latest programming trends, best practices and methodologies.
Education & Experience:
- B.Tech/BCA/MCA or M.Tech
- Experience into Javascript (Node.js, Angular.js/React.js)
- Experience representing work to a broader product team and other leaders, clearly and succintly articulating the goals and concepts
- Sr. Solution Architect
- Job Location – Bangalore
- Need candidates who can join in 15 days or less.
- Overall, 12-15 years of experience.
Looking for this tech stack in a Sr. Solution Architect (who also has a Delivery Manager background). Someone who has heavy business and IT stakeholder collaboration and negotiation skills, someone who can provide thought leadership, collaborate in the development of Product roadmaps, influence decisions, negotiate effectively with business and IT stakeholders, etc.
- Building data pipelines using Azure data tools and services (Azure Data Factory, Azure Databricks, Azure Function, Spark, Azure Blob/ADLS, Azure SQL, Snowflake..)
- Administration of cloud infrastructure in public clouds such as Azure
- Monitoring cloud infrastructure, applications, big data pipelines and ETL workflows
- Managing outages, customer escalations, crisis management, and other similar circumstances.
- Understanding of DevOps tools and environments like Azure DevOps, Jenkins, Git, Ansible, Terraform.
- SQL, Spark SQL, Python, PySpark
- Familiarity with agile software delivery methodologies
- Proven experience collaborating with global Product Team members, including Business Stakeholders located in NA
- Bachelor's degree in Computer Science, Engineering, Operations Research, Math, or related discipline.
- Minimum 2+ years of experience as an Analyst role preferred.
- Highly proficient in Microsoft Office and Windows based applications.
- SQL AND Excel Knowledge and Hands-on experience is a must.
- Demonstrated Analytical ability, results-oriented environment with external customer interaction.
- Excellent written and verbal communication and presentation skills and the ability to express thoughts logically and succinctly.
- Entrepreneurial drive and demonstrated ability to achieve stretch goals in an innovative and fast-paced environment.
Preferred Qualifications
- Experience with E-Commerce, Retail and Business Analytics would be an advantage.
- Understanding of data warehousing, data modeling concept and building new DW tables
- Advanced SQL skills, fluent in R and/or Python, advanced Microsoft Office skills, particularly Excel and analytical platforms








