Business Development Intern

Greetings , Wissen Technology is Hiring for the position of Data Engineer

Please find the Job Description for your Reference:

JD

• Design, develop, and maintain data pipelines on AWS EMR (Elastic MapReduce) to support data processing and analytics.
• Implement data ingestion processes from various sources including APIs, databases, and flat files.
• Optimize and tune big data workflows for performance and scalability.
• Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and deliver solutions.
• Manage and monitor EMR clusters, ensuring high availability and reliability.
• Develop ETL (Extract, Transform, Load) processes to cleanse, transform, and store data in data lakes and data warehouses.
• Implement data security best practices to ensure data is protected and compliant with relevant regulations.
• Create and maintain technical documentation related to data pipelines, workflows, and infrastructure.
• Troubleshoot and resolve issues related to data processing and EMR cluster performance.

Qualifications:

• Bachelor’s degree in Computer Science, Information Technology, or a related field.
• 5+ years of experience in data engineering, with a focus on big data technologies.
• Strong experience with AWS services, particularly EMR, S3, Redshift, Lambda, and Glue.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with big data frameworks and tools such as Hadoop, Spark, Hive, and Pig.
• Solid understanding of data modeling, ETL processes, and data warehousing concepts.
• Experience with SQL and NoSQL databases.
• Familiarity with CI/CD pipelines and version control systems (e.g., Git).
• Strong problem-solving skills and the ability to work independently and collaboratively in a team environment

About the Role

LMTEQ is seeking a Marketing Manager / Content Writer to drive content-led

marketing, lead generation, and brand growth for IT services and enterprise platforms. This role

blends hands-on technical content creation with marketing planning, performance tracking, and

reporting ownership.

The ideal candidate will be responsible for building and executing marketing plans, generating

qualified leads through content and digital channels, and delivering monthly, quarterly, and

annual performance reports.

Key Responsibilities

Content Strategy Execution

● Define and execute a technical content strategy aligned with marketing and business

goals.

● Create high-quality content including:

○ Blogs

○ Case studies

○ Whitepapers

○ E-books

○ Landing pages

○ Website content and articles

● Ensure all content supports lead generation, brand positioning, and thought leadership.

● Edit, repurpose, and optimize content for multiple platforms and campaigns.

Lead Generation & Campaign Planning

● Own and execute content-driven lead generation plans for IT services and enterprise

offerings.

● Design and implement:

○ Monthly marketing plans

○ Quarterly campaign roadmaps

○ Annual marketing strategy

● Work closely with sales and leadership teams to align marketing initiatives with revenue

goals.

● Support inbound marketing activities across websites, LinkedIn, and other digital

channels.

● Continuously optimize campaigns to improve lead quality and conversion rates.

SEO & Performance Marketing

● Perform basic to intermediate SEO analysis, including:

○ Keyword research (primary, secondary, tertiary)

○ On-page SEO optimization

○ Search intent mapping

● Use SEO tools such as Semrush, Ubersuggest, Google Keyword Planner, and Google

Analytics.

● Optimize website content to improve traffic, rankings, and conversions.

● Support off-page SEO activities such as interlinking, content distribution, and business

listings.

Reporting & Analytics

● Track and analyze marketing and content performance metrics.

● Prepare and present:

○ Monthly marketing performance reports

○ Quarterly marketing and lead generation reports

○ Annual marketing performance and strategy reports

● Share insights on:

○ Content performance

○ SEO metrics

○ Lead generation outcomes

○ Campaign effectiveness

● Use data-driven insights to refine marketing strategies and content plans.

Marketing & Brand Management

● Create technical and industry-focused content for LinkedIn and other professional

platforms.

● Ensure consistent brand messaging across all marketing and content assets.

● Collaborate closely with:

○ Digital marketing specialists

○ Social media teams

○ Graphic designers

○ WordPress developers

● Manage timelines, priorities, and deliverables in an agile, fast-paced environment.

Research, Tools & Innovation

● Conduct in-depth research on IT services, enterprise platforms, and industry trends.

● Leverage AI-powered tools (ChatGPT, Jasper, Copy.ai, Grammarly, etc.) to improve

efficiency and quality while maintaining originality.

● Explore new tools, formats, and approaches to enhance marketing effectiveness.

Must-Have Skills & Qualifications

● 2–4 years of experience in Marketing, Technical Content Writing, or Content Marketing

● Strong proficiency in written English

● Proven ability to create clear, structured, and engaging technical content

● Basic to intermediate SEO knowledge (mandatory)

● Hands-on experience with:

○ Keyword research

○ On-page SEO optimization

● Experience supporting lead generation or inbound marketing initiatives

● Ability to create and manage monthly, quarterly, and annual marketing plans

● Strong analytical, reporting, and presentation skills

● Ability to work in a fast-paced, deadline-driven environment

Good-to-Have Skills

● Understanding of IT services and enterprise technologies, such as:

○ ServiceNow

○ SAP

○ Salesforce

● Prior experience in digital transformation or enterprise IT content

● Exposure to B2B marketing and demand generation

● Experience working closely with sales or leadership teams

● Familiarity with marketing KPIs and funnel metrics

● Experience using AI tools responsibly for marketing acceleration

Tools & Platforms (Preferred)

● SEO Tools: Semrush, Ubersuggest, Google Keyword Planner, Google Analytics

● AI Tools: ChatGPT, Perplexity Jasper, Grammarly, or equivalent

● CMS: WordPress

● Social Platforms: LinkedIn

● Design: Canva or equivalent

Role: Automation Tester – Data Engineering

Experience: 6+ years

Work Mode: Hybrid (2–3 days onsite/week)

Locations: Gurgaon

Notice Period: Immediate Joiners Preferred

Mandatory Skills:

• Hands-on automation testing experience in Data Engineering or Data Warehousing
• Proficiency in Docker
• Experience working on any Cloud platform (AWS, Azure, or GCP)
• Experience in ETL Testing is a must
• Automation testing using Pytest or Scalatest
• Strong SQL skills and data validation techniques
• Familiarity with data processing tools such as ETL, Hadoop, Spark, Hive
• Sound knowledge of SDLC and Agile methodologies
• Ability to write efficient, clean, and maintainable test scripts
• Strong problem-solving, debugging, and communication skills

Good to Have:

• Exposure to additional test frameworks like Selenium, TestNG, or JUnit

Key Responsibilities:

• Develop, execute, and maintain automation scripts for data pipelines
• Perform comprehensive data validation and quality assurance
• Collaborate with data engineers, developers, and stakeholders
• Troubleshoot issues and improve test reliability
• Ensure consistent testing standards across development cycles

We are Hiring !!!!

Delivery Manager - ERP (Microsoft ERP- Dynamics 365)

Job Responsibilities:

• Lead the delivery of ERP implementation or upgrade projects from initiation through post-go-live support.
• Work closely with cross-functional teams including Business Analysts, Developers, QA, and third-party vendors to deliver solutions.
• Drive project planning, resource allocation, budgeting, and reporting.
• Act as the main point of contact for clients, ensuring clear communication and stakeholder alignment.
• Identify and mitigate delivery risks, scope creep, and issues proactively.
• Ensure compliance with project governance, quality assurance, and documentation standards.
• Collaborate with ERP functional and technical leads to ensure solution design meets business needs.
• Facilitate change management processes and user adoption plans.
• Provide thought leadership and contribute to continuous improvement initiatives in delivery methodology

REQUIRED QUALIFICATIONS:

• Bachelors degree in Computer Science, Information Technology, Business, or related field.
• 10+ years of experience in IT delivery/project management.
• At least one full-cycle ERP implementation experience
• Strong understanding of ERP systems, data migration, integrations, and configuration.
• Proven track record of managing large, complex projects with cross-functional teams.
• Excellent communication, stakeholder management, and leadership skills.
• Familiarity with both Agile and Waterfall project delivery methodologies.

Interested candidates are requested to email their resumes with the subject line "Application for [Job Title]".

Only applications received via email will be reviewed. Applications through other channels will not be considered.

Job Description

The client’s department DPS, Digital People Solutions, offers a sophisticated portfolio of IT applications, providing a strong foundation for professional and efficient People & Organization (P&O) and Business Management, both globally and locally, for a well-known German company listed on the DAX-40 index, which includes the 40 largest and most liquid companies on the Frankfurt Stock Exchange

We are seeking talented DevOps-Engineers with focus on Elastic Stack (ELK) to join our dynamic DPS team. In this role, you will be responsible for refining and advising on the further development of an existing monitoring solution based on the Elastic Stack (ELK). You will independently handle tasks related to architecture, setup, technical migration, and documentation.

The current application landscape features multiple Java web services running on JEE application servers, primarily hosted on AWS, and integrated with various systems such as SAP, other services, and external partners. DPS is committed to delivering the best digital work experience for the customers employees and customers alike.

Responsibilities:

Install, set up, and automate rollouts using Ansible/CloudFormation for all stages (Dev, QA, Prod) in the AWS Cloud for components such as Elastic Search, Kibana, Metric beats, APM server, APM agents, and interface configuration.

Create and develop regular "Default Dashboards" for visualizing metrics from various sources like Apache Webserver, application servers and databases.

Improve and fix bugs in installation and automation routines.

Monitor CPU usage, security findings, and AWS alerts.

Develop and extend "Default Alerting" for issues like OOM errors, datasource issues, and LDAP errors.

Monitor storage space and create concepts for expanding the Elastic landscape in AWS Cloud and Elastic Cloud Enterprise (ECE).

Implement machine learning, uptime monitoring including SLA, JIRA integration, security analysis, anomaly detection, and other useful ELK Stack features.

Integrate data from AWS CloudWatch.

Document all relevant information and train involved personnel in the used technologies.

Requirements:

Experience with Elastic Stack (ELK) components and related technologies.

Proficiency in automation tools like Ansible and CloudFormation.

Strong knowledge of AWS Cloud services.

Experience in creating and managing dashboards and alerts.

Familiarity with IAM roles and rights management.

Ability to document processes and train team members.

Excellent problem-solving skills and attention to detail.

Skills & Requirements

Elastic Stack (ELK), Elasticsearch, Kibana, Logstash, Beats, APM, Ansible, CloudFormation, AWS Cloud, AWS CloudWatch, IAM roles, AWS security, Automation, Monitoring, Dashboard creation, Alerting, Anomaly detection, Machine learning integration, Uptime monitoring, JIRA integration, Apache Webserver, JEE application servers, SAP integration, Database monitoring, Troubleshooting, Performance optimization, Documentation, Training, Problem-solving, Security analysis.

• Experience in designing and developing applications using Node.js, RDBMS (preferably MySQL).
• Minimum 3 years of Node.Js, 3 years of Database experience required.
• Expertise in at least one of AWS, Google Compute platforms to build scalable solutions.
• Deep knowledge and experience in building complex cloud/enterprise-grade software in the area of IT infrastructure, virtualization, network, storage systems monitoring & manage mentor cloud solutions
• Expertise in writing async code (callbacks, promises, async/await, observables) and publish/ subscribe/ event.
• Experience in implementing and consuming SOAP and REST web APIs.
• Producing and maintaining automated testing, build, and deployment processes.
• Improve documentation of processes and systems
• Troubleshoot existing systems and applications
• Experience in data structure libraries (e.g., Immutable.js)
• Experience in RESTful APIs and knowledge of modern authorization mechanisms, such as JSON Web Token
• Understanding of data structures and problem-solving approaches, and ability to articulate trade-offs
• Strong fundamentals OOPS concepts, SOLID principles, Data Structures/Algorithms, Exception Handling, Coding Standards, Logging
• Passionate about writing clean, modular and unit testable code
• Possesses strong verbal and written communication skills.
• Experience with Agile development
• Good knowledge of Jenkins, SonarQube, Git.
• Proven problem solving skills including debugging skills, allowing you to determine source of issues in unfamiliar code or systems and the ability to recognize and solve repetitive problems rather than working around them.
• Collaborating with software engineers, QA engineers, UX and Design team and project managers

NSEIT is looking for Senior RPA Lead Developer @Navi Mumabai

Years of Experience Required- 7+

Need exerience in Automation Anywhere, RPA

Need some who can join immediately or max 30 Days

• 1-5 years of experience in building and maintaining robust data pipelines, enriching data, low-latency/highly-performance data analytics applications.
• Experience handling complex, high volume, multi-dimensional data and architecting data products in streaming, serverless, and microservices-based Architecture and platform.
• Experience in Data warehousing, Data modeling, and Data architecture.
• Expert level proficiency with the relational and NoSQL databases.
• Expert level proficiency in Python, and PySpark.
• Familiarity with Big Data technologies and utilities (Spark, Hive, Kafka, Airflow).
• Familiarity with cloud services (preferable AWS)
• Familiarity with MLOps processes such as data labeling, model deployment, data-model feedback loop, data drift.

Key Roles/Responsibilities:

• Act as a technical leader for resolving problems, with both technical and non-technical audiences.
• Identifying and solving issues with data pipelines regarding consistency, integrity, and completeness.
• Lead data initiatives, architecture design discussions, and implementation of next-generation BI solutions.
• Partner with data scientists, tech architects to build advanced, scalable, efficient self-service BI infrastructure.
• Provide thought leadership and mentor data engineers in information presentation and delivery.