11+ Mailchimp Jobs in Hyderabad | Mailchimp Job openings in Hyderabad

Responsibilities:

·       Collaborate with the marketing team to create engaging and relevant email content that aligns with the company's brand and marketing objectives.

·       Assist in the end-to-end execution of email campaigns, including building and testing email templates, managing distribution lists, and scheduling sends.

·       Help in segmenting the email database based on audience preferences, demographics, and behavior to deliver targeted and personalized messages.

·       Conduct A/B tests on subject lines, content, and design elements to optimize email performance and enhance open and click-through rates.

·       Analyze email campaign metrics and provide insights to improve future campaigns, focusing on key performance indicators (KPIs) such as conversion rates and ROI.

·       Ensure the accuracy and hygiene of the email database, performing regular data cleansing and list segmentation.

·       Stay updated with email marketing best practices and ensure compliance with relevant email regulations and data protection laws.

·       Support implementing and maintaining email automation workflows, nurturing leads, and enhancing customer engagement.

·       Coordinate with cross-functional teams, including design and content teams, to ensure seamless execution of email campaigns.

·       Prepare regular reports on email campaign performance and present findings to the marketing team, identifying areas for improvement.

Requirements:

·       Bachelor's degree in Marketing, Communications, or a related field.

·       2 years of experience in email marketing or related digital marketing roles.

·       Strong understanding of email marketing principles, best practices, and industry trends.

·       Familiarity with email marketing platforms and tools (e.g., Mailchimp, HubSpot, etc.).

·       Proficiency in analyzing email metrics and interpreting data to drive actionable insights.

·       Excellent written and verbal communication skills with a keen eye for detail.

·       Basic HTML and CSS knowledge for email template customization is a plus.

·       Ability to manage multiple tasks and meet deadlines in a fast-paced environment.

Job Description:

We are looking for skilled Design for Test (DFT) Engineers with 3–8 years of experience to join our growing team. The ideal candidate should have strong expertise in DFT architecture, implementation, and validation for complex SoCs.

Key Responsibilities:

• Develop and implement DFT architectures (Scan, MBIST, LBIST, Boundary Scan)
• Work on scan insertion, ATPG pattern generation, and fault coverage analysis
• Collaborate with design and verification teams for testability improvements
• Perform DFT verification and debug of test patterns
• Handle silicon bring-up, debug, and yield improvement activities
• Ensure high-quality test coverage and optimize test time

Required Skills:

• Strong hands-on experience in Scan, ATPG, MBIST, LBIST
• Good knowledge of DFT tools like Tessent / Modus / Encounter Test
• Experience in JTAG / Boundary Scan (IEEE 1149.1)
• Understanding of SoC architecture and digital design concepts
• Scripting knowledge in Perl / Python / Tcl
• Experience in debugging silicon issues is a plus

Job Title: Lead Engineer – Generative AI

Role Overview

We are looking for a highly skilled Lead Engineer with strong expertise in Generative AI to lead the design and development of scalable, intelligent systems. The ideal candidate will bring deep technical knowledge, strong reasoning ability, and leadership skills to guide teams in building next-generation AI-driven solutions.

This role requires hands-on experience with modern AI frameworks, full-stack development, and cloud technologies, along with the ability to adapt quickly to evolving technologies.

Key Responsibilities

● Lead the architecture, design, and development of AI-powered applications and platforms.

● Drive the implementation of Generative AI solutions, including LLM-based systems and agentic workflows.

● Act as a subject matter expert (SME) for AI and Data & Analytics initiatives.

● Design and implement scalable and efficient LLM orchestration pipelines.

● Collaborate with cross-functional teams including product, data, and engineering.

● Mentor and guide development teams, ensuring best practices in coding, architecture, and AI integration.

● Deliver high-quality data products and analytics-ready solutions for stakeholders.

● Continuously evaluate and adopt emerging technologies in AI/ML and cloud ecosystems.

● Ensure system performance, scalability, and security across all deployments.

Required Skills & Qualifications

Experience

● 6+ years of experience in Python and React development

● 2+ years of hands-on experience in AI/ML / Generative AI

● 4+ years of experience in AWS and SQL (PostgreSQL preferred)

Technical Skills

● Strong expertise in:

○ LangChain & LangGraph

○ Large Language Models (LLMs)

○ LLM orchestration & agentic AI systems

○ Python (backend development & AI integration)

○ React & Node.js (full-stack development)

○ PostgreSQL and database design

○ AWS services (Lambda, EC2, S3, Bedrock, Sagemaker, etc.)

○ OCR technologies and document processing

● Solid understanding of:

○ AI system design patterns

○ Retrieval-Augmented Generation (RAG)

○ Vector databases and embeddings

Leadership & Core Competencies

● Strong problem-solving and reasoning skills

● Proven ability to lead and mentor teams

● Excellent communication and stakeholder management

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

● Passion for continuous learning and adapting to new technologies

Nice to Have

● Experience in the Insurance industry

● Exposure to AI product development or AI venture studios

● Knowledge of compliance and regulatory considerations in AI systems

What essential skills do you need?

• Able to demonstrate good technical & problem solving skills
• Possess relevant hands-on experience with developing automation scripts using tools like protractor, selenium, rest assured, cucumber, POM model etc.
• Should be ready to explore, learn and develop solutions for problems

Company Overview

We are a dynamic startup dedicated to empowering small businesses through innovative technology solutions. Our mission is to level the playing field for small businesses by providing them with powerful tools to compete effectively in the digital marketplace. Join us as we revolutionize the way small businesses operate online, bringing innovation and growth to local communities.

Job Description

We are seeking a skilled and experienced Data Engineer to join our team. In this role, you will develop systems on cloud platforms capable of processing millions of interactions daily, leveraging the latest cloud computing and machine learning technologies while creating custom in-house data solutions. The ideal candidate should have hands-on experience with SQL, PL/SQL, and any standard ETL tools. You must be able to thrive in a fast-paced environment and possess a strong passion for coding and problem-solving.

Required Skills and Experience

• Minimum 5 years of experience in software development.
• 3+ years of experience in data management and SQL expertise – PL/SQL, Teradata, and Snowflake experience strongly preferred.
• Expertise in big data technologies such as Hadoop, HiveQL, and Spark (Scala/Python).
• Expertise in cloud technologies – AWS (S3, Glue, Terraform, Lambda, Aurora, Redshift, EMR).
• Experience with queuing systems (e.g., SQS, Kafka) and caching systems (e.g., Ehcache, Memcached).
• Experience with container management tools (e.g., Docker Swarm, Kubernetes).
• Familiarity with data stores, including at least one of the following: Postgres, MongoDB, Cassandra, or Redis.
• Ability to create advanced visualizations and dashboards to communicate complex findings (e.g., Looker Studio, Power BI, Tableau).
• Strong skills in manipulating and transforming complex datasets for in-depth analysis.
• Technical proficiency in writing code in Python and advanced SQL queries.
• Knowledge of AI/ML infrastructure, best practices, and tools is a plus.
• Experience in analyzing and resolving code issues.
• Hands-on experience with software architecture concepts such as Separation of Concerns (SoC) and micro frontends with theme packages.
• Proficiency with the Git version control system.
• Experience with Agile development methodologies.
• Strong problem-solving skills and the ability to learn quickly.
• Exposure to Docker and Kubernetes.
• Familiarity with AWS or other cloud platforms.

Responsibilities

• Develop and maintain our inhouse search and reporting platform
• Create data solutions to complement core products to improve performance and data quality
• Collaborate with the development team to design, develop, and maintain our suite of products.
• Write clean, efficient, and maintainable code, adhering to coding standards and best practices.
• Participate in code reviews and testing to ensure high-quality code.
• Troubleshoot and debug application issues as needed.
• Stay up-to-date with emerging trends and technologies in the development community.

How to apply?

• If you are passionate about designing user-centric products and want to be part of a forward-thinking company, we would love to hear from you. Please send your resume, a brief cover letter outlining your experience and your current CTC (Cost to Company) as a part of the application.

Join us in shaping the future of e-commerce!

We are looking for a Senior Data Engineer with strong expertise in GCP, Databricks, and Airflow to design and implement a GCP Cloud Native Data Processing Framework. The ideal candidate will work on building scalable data pipelines and help migrate existing workloads to a modern framework.

• Shift: 2 PM 11 PM
• Work Mode: Hybrid (3 days a week) across Xebia locations
• Notice Period: Immediate joiners or those with a notice period of up to 30 days

Key Responsibilities:

• Design and implement a GCP Native Data Processing Framework leveraging Spark and GCP Cloud Services.
• Develop and maintain data pipelines using Databricks and Airflow for transforming Raw → Silver → Gold data layers.
• Ensure data integrity, consistency, and availability across all systems.
• Collaborate with data engineers, analysts, and stakeholders to optimize performance.
• Document standards and best practices for data engineering workflows.

Required Experience:

• 7-8 years of experience in data engineering, architecture, and pipeline development.
• Strong knowledge of GCP, Databricks, PySpark, and BigQuery.
• Experience with Orchestration tools like Airflow, Dagster, or GCP equivalents.
• Understanding of Data Lake table formats (Delta, Iceberg, etc.).
• Proficiency in Python for scripting and automation.
• Strong problem-solving skills and collaborative mindset.

⚠️ Please apply only if you have not applied recently or are not currently in the interview process for any open roles at Xebia.

Looking forward to your response!

Best regards,

Vijay S

Assistant Manager - TAG

https://www.linkedin.com/in/vijay-selvarajan/

Hi All,

Greetings from LMV Group !!!

We are hiring for Policy Renewal Executive Domain for Insurance policy Renewal Calls , MIS,M.S.Office ,MSExcel,Handling Illustration

Experiance Required -0-3yrs

Intrested Candidates can directly apply

Invesco is seeking a skilled React.js Developer with a strong background in data analytics to join our team. The Engineer within the Enterprise Risk function will manage complex data engineering, analysis, and programming tasks in support of the execution of the Enterprise Risk and Internal Audit activities and projects as defined by the Enterprise Risk Analytics leadership team. The Engineer will manage and streamline data extraction, transformation, and load processes, design use cases, analyze data, and apply creativity and data science techniques to deliver effective and efficient solutions enabling greater risk intelligence and insights.

Key Responsibilities / Duties:

• Acquire, transform, and manage data supporting risk and control-related activities
• Design, build, and maintain data analytics and data science tools supporting individual tasks and projects.
• Maintain programming code, software packages, and databases to support ongoing analytics activities.
• Exercise judgment in determining the application of data analytics for business processes, including the identification and location of data sources.
• Actively discover data analytics capabilities within the firm and leverage such capabilities where possible.
• Introduce new data analytics-related tools and technologies to business partners and consumers.
• Support business partners, data analysts, consumers’ understanding of product logic and related system processes
• Share learnings and alternative techniques with other Engineers and Data Analysts.
• Perform other duties and special projects as assigned by the Enterprise Risk Analytics leadership team and other leaders across Enterprise Risk and Internal Audit.
• Actively contribute to developing a culture of innovation within the department and risk and control awareness throughout the organization.
• Keep Head of Data Science & Engineering and departmental leadership informed of activities.
  
  

Work Experience / Knowledge:

• Minimum 5 years of experience in data analysis, data management, software development or data-related risk management roles; previous experience in programming will be considered.
• Experience within the financial services sector preferred
  
  

Skills / Other Personal Attributes Required:

• Proactive problem solver with the ability to identify, design, and deliver solutions based on high level objectives and detailed requirements. Thoroughly identify and investigate issues and determine the appropriate course of action
• Excellent in code development supporting data analytics and visualization, preferably programming languages and libraries such as JavaScript, R, Python, NextUI, ReactUI, Shiny, Streamlit, Plotly and D3.js
• Excellent with data extraction, transformation, and load processes (ETL), structured query language (SQL), and database management. 
• Strong self-learner to continuously develop new technical capabilities to become more efficient and productive
• Experience using end user data analytics software such as Tableau, PowerBI, SAS, and Excel a plus
• Proficient with various disciplines of data science, such as machine learning, natural language processing and network science
• Experience with end-to-end implementation of web applications on AWS, including using services such as EC2, EKS, RDS, ALB, Route53 and Airflow a plus
• Self-starter and motivated; must be able to work without frequent direct supervision
• Proficient with Microsoft Office applications (Teams, Outlook, MS Word, Excel, PowerPoint etc.)
• Excellent analytical and problem-solving skills
• Strong project management and administrative skills
• Strong written and verbal communication skills (English)
• Results-oriented and comfortable as an individual contributor on specific assignments
• Ability to handle confidential information and communicate clearly with individuals at a wide range of levels on sensitive matters
• Demonstrated ability to work in a diverse, cross-functional, and international environment
• Adaptable and comfortable with changing environment
• Demonstrates high professional ethics
  
  

Formal Education:

• Bachelor’s degree in Information Systems, Computer Science, Computer Engineering, Mathematics, Statistics, Data Science, or Statistics preferred. Other technology or quantitative finance-related degrees considered depending upon relevant experience
• MBA, Master’s degree in Information Systems, Computer Science, Mathematics, Statistics, Data Science, or Finance a plus
  
  

License / Registration / Certification:

• Professional data science, analytics, business intelligence, visualization, and/or development designation (e.g., CAP, CBIP, or other relevant product-specific certificates) or actively pursuing the completion of such designation preferred
• Other certifications considered depending on domain and relevant experience
  
  

Working Conditions:

Potential for up to 10% domestic and international travel

Required:

1. A minimum of 1 years of consulting and/or relevant industry experience
2. Understanding of Android Framework and Android app development.
3. Experience in developing android apps using Kotlin and latest frameworks
4. Knowledge and understanding of Design-Patterns and Data Structures.
5. Ability to develop Android applications using latest Frameworks like Retrofit, RxJava
6. Ability to write Unit test cases using the frameworks.
7. Knowledge about how to consume the REST API's
8. Understanding of Git/BitBucket or any version control system
9. Good written and verbal communication skills.
10. B.E/B.Tech/MCA/MSC/MS

Preferred:

1. Understanding and usage of latest android frameworks like JetPack, Android Architectural components
2. Experience in mentoring the new team members and also the junior folks.
3. Exposure to various mobile architectures (ex: MVC, MVP, MVVM, etc..)
4. Experience in handling the Android app deployment process.
5. Experience in working in Agile methodology

1. Work across the entire landscape that spans network, compute, storage, databases, applications, and business domain
2. Use the Big Data and AI-driven features of vuSmartMaps to provide solutions that will enable customers to improve the end-user experience for their applications
3. Create detailed designs, solutions and validate with internal engineering and customer teams, and establish a good network of relationships with customers and experts
4. Understand the application architecture and transaction-level workflow to identify touchpoints and metrics to be monitored and analyzed
5. Analytics and analysis of data and provide insights and recommendations
6. Constantly stay ahead in communicating with customers. Manage planning and execution of platform implementation at customer sites.
7. Work with the product team in developing new features, identifying solution gaps, etc.​
8. Interest and aptitude in learning new technologies - Big Data, no SQL databases, Elastic Search, Mongo DB, DevOps.​

1. At least 2+ years of experience in IT Infrastructure Management
2. Experience in working with large-scale IT infra, including applications, databases, and networks.​
3. Experience in working with monitoring tools, automation tools
4. Hands-on experience in Linux and scripting.
5. Knowledge/Experience in the following technologies will be an added plus:​ ​ElasticSearch, Kafka, Docker Containers, MongoDB, Big Data, SQL databases, ELK stack, REST APIs, web services, and JMX.