SEO Team Lead

WHO YOU ARE

To be successful in this role, you’ll need to have the following skills:

·         Love for coding: A fanatic about writing beautiful and scalable code.

·         A sense of analytics: Strong analytical and troubleshooting skills. Should be resourceful, innovative and inventive.

·         Dynamic: Should be comfortable in dealing with lots of moving pieces. Have exquisite attention to detail, and are comfortable learning new technologies and systems. 

·         Team player: Knack for influencing without being authoritative. Pitch in wherever the team needs help, from writing blog posts to supporting customers.

·         Accountability: High sense of ownership for your code and relentlessness to deliver projects with high business impact. 

KEY QUALIFICATIONS

·         BE/BTech in Computer Science or related field. 

·         5+ years of professional production and development experience with leading-edge server and database technologies (e.g., Python, Java, Node.js, Scala, Spring Boot, MySQL, and NoSQL databases).

KEY SKILLS

·         Strong computer system analysis and design skills in current methodologies and patterns Experience with professional production cloud (AWS preferred).

·         Experience with RESTful Services and APIs.

JOB DETAILS:

* Job Title: Lead II - Software Engineering - AWS, Apache Spark (PySpark/Scala), Apache Kafka

* Industry: Global digital transformation solutions provider

* Salary: Best in Industry

* Experience: 5-8 years

* Location: Hyderabad

Job Summary

We are seeking a skilled Data Engineer to design, build, and optimize scalable data pipelines and cloud-based data platforms. The role involves working with large-scale batch and real-time data processing systems, collaborating with cross-functional teams, and ensuring data reliability, security, and performance across the data lifecycle.

Key Responsibilities

ETL Pipeline Development & Optimization

• Design, develop, and maintain complex end-to-end ETL pipelines for large-scale data ingestion and processing.
• Optimize data pipelines for performance, scalability, fault tolerance, and reliability.

Big Data Processing

• Develop and optimize batch and real-time data processing solutions using Apache Spark (PySpark/Scala) and Apache Kafka.
• Ensure fault-tolerant, scalable, and high-performance data processing systems.

Cloud Infrastructure Development

• Build and manage scalable, cloud-native data infrastructure on AWS.
• Design resilient and cost-efficient data pipelines adaptable to varying data volume and formats.

Real-Time & Batch Data Integration

• Enable seamless ingestion and processing of real-time streaming and batch data sources (e.g., AWS MSK).
• Ensure consistency, data quality, and a unified view across multiple data sources and formats.

Data Analysis & Insights

• Partner with business teams and data scientists to understand data requirements.
• Perform in-depth data analysis to identify trends, patterns, and anomalies.
• Deliver high-quality datasets and present actionable insights to stakeholders.

CI/CD & Automation

• Implement and maintain CI/CD pipelines using Jenkins or similar tools.
• Automate testing, deployment, and monitoring to ensure smooth production releases.

Data Security & Compliance

• Collaborate with security teams to ensure compliance with organizational and regulatory standards (e.g., GDPR, HIPAA).
• Implement data governance practices ensuring data integrity, security, and traceability.

Troubleshooting & Performance Tuning

• Identify and resolve performance bottlenecks in data pipelines.
• Apply best practices for monitoring, tuning, and optimizing data ingestion and storage.

Collaboration & Cross-Functional Work

• Work closely with engineers, data scientists, product managers, and business stakeholders.
• Participate in agile ceremonies, sprint planning, and architectural discussions.

Skills & Qualifications

Mandatory (Must-Have) Skills

1. AWS Expertise

• Hands-on experience with AWS Big Data services such as EMR, Managed Apache Airflow, Glue, S3, DMS, MSK, and EC2.
• Strong understanding of cloud-native data architectures.

1. Big Data Technologies

• Proficiency in PySpark or Scala Spark and SQL for large-scale data transformation and analysis.
• Experience with Apache Spark and Apache Kafka in production environments.

1. Data Frameworks

• Strong knowledge of Spark DataFrames and Datasets.

1. ETL Pipeline Development

• Proven experience in building scalable and reliable ETL pipelines for both batch and real-time data processing.

1. Database Modeling & Data Warehousing

• Expertise in designing scalable data models for OLAP and OLTP systems.

1. Data Analysis & Insights

• Ability to perform complex data analysis and extract actionable business insights.
• Strong analytical and problem-solving skills with a data-driven mindset.

1. CI/CD & Automation

• Basic to intermediate experience with CI/CD pipelines using Jenkins or similar tools.
• Familiarity with automated testing and deployment workflows.

Good-to-Have (Preferred) Skills

• Knowledge of Java for data processing applications.
• Experience with NoSQL databases (e.g., DynamoDB, Cassandra, MongoDB).
• Familiarity with data governance frameworks and compliance tooling.
• Experience with monitoring and observability tools such as AWS CloudWatch, Splunk, or Dynatrace.
• Exposure to cost optimization strategies for large-scale cloud data platforms.

Skills: big data, scala spark, apache spark, ETL pipeline development

******

Notice period - 0 to 15 days only

Job stability is mandatory

Location: Hyderabad

Note: If a candidate is a short joiner, based in Hyderabad, and fits within the approved budget, we will proceed with an offer

F2F Interview: 14th Feb 2026

3 days in office, Hybrid model.

Position: Senior Data Engineer

Overview:

We are seeking an experienced Senior Data Engineer to design, build, and optimize scalable data pipelines and infrastructure to support cross-functional teams and next-generation data initiatives. The ideal candidate is a hands-on data expert with strong technical proficiency in Big Data technologies and a passion for developing efficient, reliable, and future-ready data systems.

Reporting: Reports to the CEO or designated Lead as assigned by management.

Employment Type: Full-time, Permanent

Location: Remote (Pan India)

Shift Timings: 2:00 PM – 11:00 PM IST

Key Responsibilities:

• Design and develop scalable data pipeline architectures for data extraction, transformation, and loading (ETL) using modern Big Data frameworks.
• Identify and implement process improvements such as automation, optimization, and infrastructure re-design for scalability and performance.
• Collaborate closely with Engineering, Product, Data Science, and Design teams to resolve data-related challenges and meet infrastructure needs.
• Partner with machine learning and analytics experts to enhance system accuracy, functionality, and innovation.
• Maintain and extend robust data workflows and ensure consistent delivery across multiple products and systems.

Required Qualifications:

• Bachelor’s degree in Computer Science, Engineering, or related field.
• 10+ years of hands-on experience in Data Engineering.
• 5+ years of recent experience with Apache Spark, with a strong grasp of distributed systems and Big Data fundamentals.
• Proficiency in Scala, Python, Java, or similar languages, with the ability to work across multiple programming environments.
• Strong SQL expertise and experience working with relational databases such as PostgreSQL or MySQL.
• Proven experience with Databricks and cloud-based data ecosystems.
• Familiarity with diverse data formats such as Delta Tables, Parquet, CSV, and JSON.
• Skilled in Linux environments and shell scripting for automation and system tasks.
• Experience working within Agile teams.
• Knowledge of Machine Learning concepts is an added advantage.
• Demonstrated ability to work independently and deliver efficient, stable, and reliable software solutions.
• Excellent communication and collaboration skills in English.

About the Organization:

We are a leading B2B data and intelligence platform specializing in high-accuracy contact and company data to empower revenue teams. Our technology combines human verification and automation to ensure exceptional data quality and scalability, helping businesses make informed, data-driven decisions.

What We Offer:

Our workplace embraces diversity, inclusion, and continuous learning. With a fast-paced and evolving environment, we provide opportunities for growth through competitive benefits including:

• Paid Holidays and Leaves
• Performance Bonuses and Incentives
• Comprehensive Medical Policy
• Company-Sponsored Training Programs

We are an Equal Opportunity Employer, committed to maintaining a workplace free from discrimination and harassment. All employment decisions are made based on merit, competence, and business needs.

About the company

KPMG International Limited, commonly known as KPMG, is one of the largest professional services networks in the world, recognized as one of the "Big Four" accounting firms alongside Deloitte, PricewaterhouseCoopers (PwC), and Ernst & Young (EY). KPMG provides a comprehensive range of professional services primarily focused on three core areas: Audit and Assurance, Tax Services, and Advisory Services. Their Audit and Assurance services include financial statement audits, regulatory audits, and other assurance services. The Tax Services cover various aspects such as corporate tax, indirect tax, international tax, and transfer pricing. Meanwhile, their Advisory Services encompass management consulting, risk consulting, deal advisory, and other related services.

Job Description

Position: SAP S4 HANA

Education Qualification: CA OR MBA in Finance

Experience: 

• 8-12 years of experience as an accountant in NON- Financial services sector (Should not be financial services, ideally manufacturing, can be other services)
• 2-5 years of minimum experience in the SAP S4 HANA
• Financial services sector experience- DO NOT APPLY PLEASE

Location:  Bangalore, Gurgaon, Mumbai

CTC: 25-40 LPA pa, commensurate with experience

Skill requirement

• Proven experience in ERP implementations (SAP ECC, SAP S/4 Hana, Oracle EPBCS, Oracle fusion)
• Strong expertise in finance modules (R2R, FA,AR,AP, Project Accounting, Costing, Margin Analysis)
• Experience with emerging technologies are (RPA, AI) and EPM tools (SC/Anaplan, One stream, Oracle PBCS)
• Outstanding analytical and communication skills
• FICO certification would be an advantage
• Experience in managing large scale finance transformation projects
• Strong project management skills with a focus on delivering high quality results
• Ability to work in a fast-paced dynamic environment
• Excellence stakeholder management and relationship building skills
• Proficiency in data analytics and advanced data analytics tools
• Experience with cloud-based finance solutions
• Knowledge of regulatory and compliance regulation in finance
• Ability to adapt to different industries and remain current on economic developments

Responsibilities

• Lead the implementation of SAP S/4HANA from inception to completion.
• Collaborate with cross-functional teams to define project scope, goals, and deliverables.
• Develop and manage project plans, timelines, and budgets.
• Ensure successful integration of SAP S/4HANA with existing financial processes and systems.
• Provide expert guidance on best practices for all accounting related processes.
• Conduct training sessions and workshops for end-users to ensure smooth adoption of new tools.
• Monitor and report on project progress, identifying and mitigating risks as needed.
• Work closely with stakeholders to gather requirements and translate them into technical specifications.
• Drive continuous improvement initiatives to enhance financial reporting and consolidation processes.
• Stay updated on industry trends and emerging technologies in finance transformation.

Roles:

• Developing core infrastructure in Python, Django.
• Developing models and business logic (e. g. transactions, payments, diet plan, search, etc).
• Architecting servers and services that enable new product features.
• Building out newly enabled product features

• Minimum 4 years of industry or open-source experience.
• Proficient in at least one OO language: Python(preferred)/Golang/Java.
• Writing high-performance, reliable and maintainable code.
• Good knowledge of database structures, theories, principles, and practices.
• Experience working with AWS components [EC2, S3, RDS, SQS, ECS, Lambda].

Executive - AR:-

 • Average ability on calling, spoken and written English with moderate medical billing knowledge. 

• Should be able to work independently with minimal supervision, on moderate and complex tasks with guidance from supervisors 

• Should be a team player and collaborate in solving the issues and problems. 

Roles & Responsibilities: 

• Ability to talk to insurance companies & check online for outstanding payments and document the conversation/ findings on patient account and assigned WP as per the standardization protocol with required accuracy. 

• Willingness to work in the night shift 

• Meet Compliance requirements like HIPPA etc. 

• Meet QMS and ISMS requirements 

• Meet productivity and quality standards.

Sr. Executive - AR:-

• Above average calling, spoken and written English skills, high medical billing knowledge 

• Should work independently, and with minimal supervision, on complex tasks with guidance from supervisors 

• Should be a team player and collaborate in solving the issues 

Roles & Responsibilities: 

• Ability to analyze a claim and talk to insurance companies & check online for outstanding payments and take necessary action, so that the claim is closed 

• Mentor and guide team members 

• Willing to work in Night shifts 

• Ensure required quality standards.

Analyst - AR:-

• Offers solutions, suggestions & improvements and also help on client specific reports to their immediate supervisor 

• Should be a team player, mentor the trainees and collaborate in solving the issues and problems 

Roles & Responsibilities: 

• Should have the ability to identify global issues, root cause of the problem and take corrective and systemic actions. 

• Ensure required quality standards. 

• Clear the rejections 

• Check whether the response is received in a timely manner 

• Check process dashboard on time; if any rejection found 

• Generate Insurance Collection summary report grouping by Insurance and sub-grouping. 

• Work on the denial bucket claims 

• Resolve the denied claims 

Sr. Analyst - AR:-

• Capable of handling minimum team of 5-10 

• Identify the global issues proactively and offer resolutions and recommendation to eradicate from reoccurring. 

• Should be able to mentor the team members 

• Ability to generate client specific reports and assist immediate supervisor on day to day operational needs. 

• Exceed individual productivity and quality standards as per org policy. 

• Assist team to achieve the minimum productivity and quality benchmark. 

• Should be a team player and collaborate in solving the issues and problems. 

Roles & Responsibilities: 

• Should have the ability to identify global issues, root cause of the problem and take corrective and systemic actions. 

• Ensure required quality standards. 

• Clear the rejections 

• Check whether the response is received in a timely manner 

• Check process dashboard on time; if any rejection found 

• Generate Insurance Collection summary report grouping by Insurance and sub-grouping. 

• Work on the denial bucket claims 

• Review EOB, post the denials and take appropriate action on the denials. 

• Resolve the denied claims.