Tata Consultancy Services
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HTML/CSS
JavascriptKey Responsibilities:
- Design, develop, and implement websites and components within Adobe Experience Manager (AEM).
- Develop and customize AEM components, templates, dialogs, workflows, servlets, and OSGi services.
- Integrate AEM with external systems and third-party services (CRM, DAM, Analytics, etc.).
- Implement responsive front-end solutions using HTML5, CSS3, JavaScript, ReactJS/Angular, and Sightly/HTL.
- Work closely with AEM Architects to ensure technical alignment and best practices.
- Optimize performance of AEM pages and ensure adherence to SEO and accessibility standards.
- Manage AEM environments, deployments, and configurations.
- Provide technical guidance and mentorship to junior developers.
- Collaborate with QA and DevOps teams for CI/CD automation and deployment pipelines.
- Troubleshoot and resolve AEM production issues.
Amazon Web Services (AWS)Job Title: PySpark/Scala Developer
Functional Skills: Experience in Credit Risk/Regulatory risk domain
Technical Skills: Spark ,PySpark, Python, Hive, Scala, MapReduce, Unix shell scripting
Good to Have Skills: Exposure to Machine Learning Techniques
Job Description:
5+ Years of experience with Developing/Fine tuning and implementing programs/applications
Using Python/PySpark/Scala on Big Data/Hadoop Platform.
Roles and Responsibilities:
a) Work with a Leading Bank’s Risk Management team on specific projects/requirements pertaining to risk Models in
consumer and wholesale banking
b) Enhance Machine Learning Models using PySpark or Scala
c) Work with Data Scientists to Build ML Models based on Business Requirements and Follow ML Cycle to Deploy them all
the way to Production Environment
d) Participate Feature Engineering, Training Models, Scoring and retraining
e) Architect Data Pipeline and Automate Data Ingestion and Model Jobs
Skills and competencies:
Required:
· Strong analytical skills in conducting sophisticated statistical analysis using bureau/vendor data, customer performance
Data and macro-economic data to solve business problems.
· Working experience in languages PySpark & Scala to develop code to validate and implement models and codes in
Credit Risk/Banking
· Experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture.
- Familiarity with machine learning frameworks and libraries (like scikit-learn, SparkML, tensorflow, pytorch etc.
- Experience in systems integration, web services, batch processing
- Experience in migrating codes to PySpark/Scala is big Plus
- The ability to act as liaison conveying information needs of the business to IT and data constraints to the business
applies equal conveyance regarding business strategy and IT strategy, business processes and work flow
· Flexibility in approach and thought process
· Attitude to learn and comprehend the periodical changes in the regulatory requirement as per FED
Desired Competencies (Technical/Behavioral Competency)
Must-Have
· Strong understanding of Kafka concepts, including topics, partitions, consumers, producers, and security.
· Experience with testing Kafka Connect, Kafka Streams, and other Kafka ecosystem components.
· API Testing Experience
· X-RAY and Test Automation Experience
· Expertise with Postman/SOAP
· Agile/JIRA/Confluence
· Strong familiarity such as XML, JSON, CSV, Avro, etc.
· Strong hands-on SQL, Mongo.
· Continuous integration and automated testing.
· Working knowledge and experience of Git.
Good-to-Have
· Troubleshoot Kafka related issues, Strong in Kafka client configuration and troubleshooting
SN
Responsibility of / Expectations from the Role
1
Engage with the customer to understand the requirements, provide technical solutions, provide value added suggestions
2
Help build and manage the team of Kafka and Java developers in the near future.
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Scala
PythonSkills and competencies:
Required:
· Strong analytical skills in conducting sophisticated statistical analysis using bureau/vendor data, customer performance
Data and macro-economic data to solve business problems.
· Working experience in languages PySpark & Scala to develop code to validate and implement models and codes in
Credit Risk/Banking
· Experience with distributed systems such as Hadoop/MapReduce, Spark, streaming data processing, cloud architecture.
- Familiarity with machine learning frameworks and libraries (like scikit-learn, SparkML, tensorflow, pytorch etc.
- Experience in systems integration, web services, batch processing
- Experience in migrating codes to PySpark/Scala is big Plus
- The ability to act as liaison conveying information needs of the business to IT and data constraints to the business
applies equal conveyance regarding business strategy and IT strategy, business processes and work flow
· Flexibility in approach and thought process
· Attitude to learn and comprehend the periodical changes in the regulatory requirement as per FED
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
• Technical expertise in the area of development of Master Data Management, data extraction, transformation, and load (ETL) applications, big data using existing and emerging technology platforms and cloud architecture
• Functions as lead developer• Support System Analysis, Technical/Data design, development, unit testing, and oversee end-to-end data solution.
• Technical SME in Master Data Management application, ETL, big data and cloud technologies
• Collaborate with IT teams to ensure technical designs and implementations account for requirements, standards, and best practices
• Performance tuning of end-to-end MDM, database, ETL, Big data processes or in the source/target database endpoints as needed.
• Mentor and advise junior members of team to provide guidance.
• Perform a technical lead and solution lead role for a team of onshore and offshore developers
The recruiter has not been active on this job recently. You may apply but please expect a delayed response.
Responsibility of / Expectations from the Role
Assist in the design and implementation of Snowflake-based analytics solution (data lake and data warehouse) on Azure.
Profound experience in designing and developing data integration solutions using ETL tools such as DBT.
Hands-on experience in the implementation of cloud data warehouses using Snowflake & Azure Data Factory
Solid MS SQL Server skills including reporting experience.
Work closely with product managers and engineers to design, implement, test, and continually improve scalable data solutions and services running on DBT & Snowflake cloud platforms.
Implement critical and non-critical system data integration and ingestion fixes for the data platform and environment.
Ensuring root cause resolution to identified problems.
Monitor and support the Data Solutions jobs and processes to meet the daily SLA.
Analyze the current analytics environment and make recommendations for appropriate data warehouse modernization and migration to the cloud.
Develop Snowflake deployment (Using Azure DevOPS or similar CI/CD tool) and usage best practices.
Follow best practices and standards around data governance, security and privacy.
Comfortable working in a fast-paced team environment coordinating multiple projects.
Effective software development life cycle management skills and experience with GitHub
Leverage tools like Fivetran, DBT, Snowflake, GitHub, to drive ETL, data modeling and analytics.
Data transformation and Data Analytics Documentation
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About Us
HighLevel is an AI powered, all-in-one white-label sales & marketing platform that empowers agencies, entrepreneurs, and businesses to elevate their digital presence and drive growth. We are proud to support a global and growing community of over 2 million businesses, comprised of agencies, consultants, and businesses of all sizes and industries. HighLevel empowers users with all the tools needed to capture, nurture, and close new leads into repeat customers. As of mid 2025, HighLevel processes over 15 billion API hits and handles more than 2.5 billion message events every day. Our platform manages over 470 terabytes of data distributed across five databases, operates with a network of over 250 microservices, and supports over 1 million domain names.
Our People
With over 1,500 team members across 15+ countries, we operate in a global, remote-first environment. We are building more than software; we are building a global community rooted in creativity, collaboration, and impact. We take pride in cultivating a culture where innovation thrives, ideas are celebrated, and people come first, no matter where they call home.
Our Impact
As of mid 2025, our platform powers over 1.5 billion messages, helps generate over 200 million leads, and facilitates over 20 million conversations for the more than 2 million businesses we serve each month. Behind those numbers are real people growing their companies, connecting with customers, and making their mark - and we get to help make that happen.
EEO Statement:
At HighLevel, we value diversity. In fact, we understand it makes our organisation stronger. We are committed to inclusive hiring/promotion practices that evaluate skill sets, abilities, and qualifications without regard to any characteristic unrelated to performing the job at the highest level. Our objective is to foster an environment where really talented employees from all walks of life can be their true and whole selves, cherished and welcomed for their differences while providing excellent service to our clients and learning from one another along the way! Reasonable accommodations may be made to enable individuals with disabilities to perform essential functions.
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We work with product organizations to help them scale or modernize their legacy technology solutions. We work with startups to help them operationalize their idea efficiently. We work with large established institutions to help them create internal applications to automate manual opperations and achieve scale.
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