11+ AS3 Jobs in India

1. Research, Implement, Monitoring, and Report on Organic search

2. Keyword research and mapping

3. Content writing and optimization

4. Link-building outreach campaigns

5. Acquire backlinks

6. Editorial negotiations

7. Maintaining SERPs

8. Work on standard and current SEO practices

9. Auditing existing website

10. Recommend changes to website architecture, content, linking, and other factors to improve

SEO positions for target keywords

11. Work on SEO reporting

Skills & Requirements

1. Excellent written and verbal communication skills

2. Knowledge of technical aspects of search engines, search algorithms, ranking factors etc.

3. Demonstrated knowledge of SEO skills like on-page SEO, and website analytics.

4. Strong operational excellence in link building – NOT outdated practices like (directories,

bookmarking, etc.)

5. Knowledge of outreach to editors to form collaborations for publishing our content on their

portal – this is a must-have. Candidate to show clear experience of achieving this in this past

employment.

6. Strong experience in the use of Google Analytics and Google Search Console

7. Ability to solve problems and identify opportunities through data analysis and critical

thinking

8. Strong attention to detail, excellent organizational skills, and ability to manage multiple

projects and responsibilities

9. Agency background preferable

CTC

20,000/- p.m. to 30,000/- p.m.

The Field Sales Executive is responsible for generating leads, Connecting with potential clients,

and Fixing meetings to meet the company's revenue targets. This role requires a self-motivated,

target-driven individual with excellent interpersonal skills and the ability to build and maintain

strong relationships with customers. The Field Sales Executive will work primarily in the field,

visiting clients, fixing meetings

Job Description: 

Please find below details:

Experience - 5+ Years

Location- Bangalore/Python

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.

Required Skills and Qualifications

• Professional Experience: 5+ years of experience in data engineering or a related field.
• Programming: Strong proficiency in Python, with experience in libraries like pandas, pySpark, or boto3.
• AWS Expertise: Hands-on experience with core AWS services for data engineering, such as:
• AWS Glue for ETL/ELT.
• S3 for storage.
• Redshift or Athena for data warehousing and querying.
• Lambda for serverless compute.
• Kinesis or SNS/SQS for data streaming.
• IAM Roles for security.
• Databases: Proficiency in SQL and experience with relational (e.g., PostgreSQL, MySQL) and NoSQL (e.g., DynamoDB) databases.
• Data Processing: Knowledge of big data frameworks (e.g., Hadoop, Spark) is a plus.
• DevOps: Familiarity with CI/CD pipelines and tools like Jenkins, Git, and CodePipeline.
• Version Control: Proficient with Git-based workflows.
• Problem Solving: Excellent analytical and debugging skills.

Optional Skills

• Knowledge of data modeling and data warehouse design principles.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes).
• Exposure to other programming languages like Scala or Java.

Enterprise Data Architect - Dataeconomy (25+ Years Experience)

About Dataeconomy:

Dataeconomy is a rapidly growing company at the forefront of Information Technology. We are driven by data and committed to using it to make better decisions, improve our products, and deliver exceptional value to our customers.

Job Summary:

Dataeconomy seeks a seasoned and strategic Enterprise Data Architect to lead the company's data transformation journey. With 25+ years of experience in data architecture and leadership, you will be pivotal in shaping our data infrastructure, governance, and culture. You will leverage your extensive expertise to build a foundation for future growth and innovation, ensuring our data assets are aligned with business objectives and drive measurable value.

Responsibilities:

Strategic Vision and Leadership:

Lead the creation and execution of a long-term data strategy aligned with the company's overall vision and goals.

Champion a data-driven culture across the organization, fostering cross-functional collaboration and data literacy.

Advise senior leadership on strategic data initiatives and their impact on business performance.

Architecture and Modernization:

Evaluate and modernize the existing data architecture, recommending and implementing innovative solutions.

Design and implement a scalable data lake/warehouse architecture for future growth.

Advocate for and adopt cutting-edge data technologies and best practices.

ETL Tool Experience (8+ years):

Extensive experience in designing, developing, and implementing ETL (Extract, Transform, Load) processes using industry-standard tools such as Informatica PowerCenter, IBM DataStage, Microsoft SSIS, or open-source options like Apache Airflow.

Proven ability to build and maintain complex data pipelines that integrate data from diverse sources, transform it into usable formats, and load it into target systems.

Deep understanding of data quality and cleansing techniques to ensure the accuracy and consistency of data across the organization.

Data Governance and Quality:

Establish and enforce a comprehensive data governance framework ensuring data integrity, consistency, and security.

Develop and implement data quality standards and processes for continuous data improvement.

Oversee the implementation of master data management and data lineage initiatives.

Collaboration and Mentorship:

Mentor and guide data teams, including architects, engineers, and analysts, on data architecture principles and best practices.

Foster a collaborative environment where data insights are readily shared and acted upon across the organization.

Build strong relationships with business stakeholders to understand and translate their data needs into actionable solutions.

Qualifications:

Education: master’s degree in computer science, Information Systems, or related field; Ph.D. preferred.

Experience: 25+ years of experience in data architecture and design, with 10+ years in a leadership role.

Technical Skills:

Deep understanding of TOGAF, AWS, MDM, EDW, Hadoop ecosystem (MapReduce, Hive, HBase, Pig, Flume, Scoop), cloud data platforms (Azure Synapse, Google Big Query), modern data pipelines, streaming analytics, data governance frameworks.

Proficiency in programming languages (Java, Python, SQL), scripting languages (Bash, Python), data modelling tools (ER diagramming software), and BI tools.

Extensive expertise in ETL tools (Informatica PowerCenter, IBM DataStage, Microsoft SSIS, Apache Airflow)

Familiarity with emerging data technologies (AI/ML, blockchain), data security and compliance frameworks.

Soft Skills:

Outstanding communication, collaboration, and leadership skills.

Strategic thinking and problem-solving abilities with a focus on delivering impactful solutions.

Strong analytical and critical thinking skills.

Ability to influence and inspire teams to achieve goals.

About us:

HappyFox is a software-as-a-service (SaaS) support platform. We offer an enterprise-grade help desk ticketing system and intuitively designed live chat software.

We serve over 12,000 companies in 70+ countries. HappyFox is used by companies that span across education, media, e-commerce, retail, information technology, manufacturing, non-profit, government and many other verticals that have an internal or external support function.

To know more, Visit! - https://www.happyfox.com/

We’re looking for a Lead Backend Engineer with 5+ years of experience in building web services to join our engineering team to help architect, build and run our growing list of products. You should have prior experience being responsible for building sufficiently complex products/services and mentoring software engineers.

Responsibilities: 

• Lead a team of engineers working on our product roadmap. You are expected to contribute to feature development with hands-on development tasks
• Oversee software architecture, source control workflows, and CI/CD processes and perform code reviews to ensure exceptional code quality
• Improve the development experience and the quality of the codebase. You will define and uphold best practices and coding standards for the team
• Responsible for architecture and design decisions
• Own stability and performance of the service that you work on
• Work with the Engineering Manager to ship stable software on time
• Contribute to the vision and long-term strategy in your area of expertise

Requirements: 

• 2+ years of experience in a technical lead role designing and building complex backend systems
• 5+ years of professional software development experience
• Excellent knowledge of best practices and coding patterns
• Deep knowledge of backend programming languages like Python and web application frameworks like Django
• Solid experience in building web services using relational databases like PostgreSQL or NoSQL databases like MongoDB
• Proficiency with Amazon Web Services (AWS) or Google Cloud Platform or Azure
• Extensive experience with Linux/UNIX production environments
• Strong sense of quality in terms of both program architecture and code style
• Passion to dig into technically complex problems to troubleshoot and figure out a solution
• Desire to continuously improve and ship the best quality product
• Pragmatic approach to make sure technical decisions align with actual business needs. 
• Good understanding of the trade-offs when building for product value, reliability, or performance
• Excellent communication skills with the ability to discuss and explain your point of view clearly and effectively
• An engineering degree is a must(B.E. CS preferred)

Stakque is looking for abled WordPress Developers who would love to work with CMS. An ideal candidate will have the skills to implement the UI designed by our UI designers.

WordPress Developer Responsibilities:

• Meeting with clients to discuss website design and function.
• Designing and building the website front-end.
• Creating the website architecture.
• Implementing front-end designs as per the UI mockup in hand, preferably in Oxygen Builder, Bricks.io, Kadence and added knowledge in Elementor is a plus.
• Strong knowledge in WordPress optimizations and firewalls.
• Generating WordPress themes and plugins.
• Conducting website performance tests.
• Troubleshooting content issues.
• Conducting WordPress training with the client.
• Monitoring the performance of the live website.

WordPress Developer Requirements:

• Proven work experience as a WordPress developer.
• Knowledge of front-end technologies including CSS3, JavaScript, HTML5, and jQuery.
• Knowledge of code versioning tools including Git, Mercurial, and SVN.
• Experience working with debugging tools such as Chrome Inspector and Firebug.
• Good understanding of website architecture and aesthetics.
• Ability to manage projects.
• Good communication skills.