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

Key Responsibilities

Reporting & Analytics Development

• Design, develop, and maintain complex reporting solutions serving mission-critical emergency

response operations

• Build interactive dashboards and data visualizations that transform large datasets into

actionable insights

• Develop advanced analytics features including trend analysis, predictive metrics, and

operational intelligence

• Create self-service reporting capabilities enabling stakeholders to access critical data

independently

• Implement real-time and scheduled reporting systems with appropriate caching and

optimization strategies

SQL & Database Architecture

• Write and optimize complex SQL queries involving multiple joins, subqueries, CTEs, window

functions, and aggregations

• Review existing database architectures and identify performance bottlenecks and optimization

opportunities

• Design and implement database schema enhancements to support evolving reporting

requirements

• Develop and maintain stored procedures, functions, and views optimized for reporting

workloads

• Perform comprehensive query performance analysis and implement tuning strategies across

PostgreSQL and AWS Aurora environments

• Create efficient indexing strategies and data access patterns for large-scale datasets

• Establish data modeling best practices for dimensional and transactional reporting needs

Performance Optimization

• Conduct systematic performance analysis of reporting queries processing millions of records

• Implement query optimization techniques including execution plan analysis, index tuning, and

query refactoring

• Design and implement data aggregation strategies, materialized views, and summary tables for

improved performance

• Monitor and optimize database performance metrics including query response times, resource

utilization, and concurrency

• Develop ETL processes and data pipelines optimized for reporting and analytics workloads

• Implement caching strategies and data archival policies to maintain optimal system

performance

Technical Collaboration

• Partner with Product and stakeholder teams to translate business reporting requirements into

technical solutions

• Conduct code reviews focused on SQL quality, performance, and best practices

• Provide technical guidance to development teams on reporting architecture and database

optimization

• Document database schemas, reporting architectures, and optimization strategies

• Collaborate with DevOps on database infrastructure, monitoring, and scaling initiatives

Required Qualifications

Experience & Background

• 8+ years of software engineering experience with significant focus on reporting, analytics, or

business intelligence

• 5+ years of hands-on experience writing complex SQL in production environments

• 3+ years working with large-scale databases (millions+ records) and optimizing query

performance

• Proven track record developing enterprise reporting solutions and analytics platforms

• Experience conducting database architecture reviews and implementing performance

improvements

Technical Expertise - SQL & Databases

• Expert-level SQL proficiency including complex joins, subqueries, CTEs, window functions, and

advanced aggregations

• Deep PostgreSQL expertise with production experience in query optimization and performance

tuning

• Strong understanding of database internals including execution plans, indexing strategies, and

query optimization

• Experience with AWS Aurora or other cloud-based PostgreSQL solutions

• Proficiency in stored procedures, triggers, functions, and database programming

• Advanced knowledge of database design principles, normalization, and dimensional modeling

• Experience with database performance monitoring and profiling tools

• Strong programming skills in PHP (Yii framework or similar MVC frameworks preferred)

• Solid experience with Vue.js or similar modern JavaScript frameworks for building reporting

interfaces

What You'll Work With

• Databases: PostgreSQL, AWS Aurora, multi-tenant architectures

• Backend: PHP (Yii framework), RESTful APIs

• Frontend: Vue.js (Vue 2/3), modern JavaScript, data visualization libraries

• Infrastructure: AWS (RDS, Aurora, S3, Lambda), Postgres

• Tools: Git/GitHub, JIRA, Agile development workflows

Work Location

Hyderabad, India - On-site position with flexible working arrangements to accommodate both India

and onsite teams

Key Responsibilities

Data Modeling & Power BI Development

Design, develop, and maintain high-performance Power BI dashboards and reports.

Build robust, scalable data models using **advanced DAX (Data Analysis Expressions)** to implement complex business logic, time-intelligence calculations

Optimize existing reports and data models for speed, efficiency, and scalability.

Advanced Data Extraction & Transformation

Write, optimize, and debug **complex SQL queries** (including subqueries, CTEs, window functions, and advanced joins) to extract data from various enterprise data warehouses.

Ensure data integrity and consistency between source systems and front-end reports.

Required Technical Skills & Qualifications

Must-Haves (Non-Negotiable)

Power BI & DAX: Minimum of 1–3 years of hands-on experience building Power BI solutions. Deep understanding of evaluation contexts (Filter Context vs. Row Context) and complex DAX functions (CALCULATE, FILTER, ALL, EARLIER, and time-intelligence).

Expert SQL Skills: High proficiency in writing complex, optimized SQL queries. Must be comfortable handling large datasets, writing Common Table Expressions (CTEs), utilizing window functions (RANK, LEAD/LAG, PARTITION BY), and analyzing query performance.

Nice-to-Haves

Data Modeling: Strong understanding of relational database concepts, star/snowflake schemas, and data normalization/denormalization.

Familiarity with cloud data platforms like Snowflake, Azure Synapse, or AWS Redshift.

Basic knowledge of Python for data manipulation.

Soft Skills & Core Competencies

Problem-Solving: A natural curiosity to dig into data anomalies and find the root cause of discrepancies.

Communication: Ability to explain complex technical data constraints to non-technical business users clearly.

Attention to Detail: Precision in data validation to ensure business decisions are made on 100% accurate reporting.

Data Engineer  

Overview 

We are seeking skilled Data Engineers to join our Data & Digital Twin Foundation team. You will design, build, and maintain data pipelines that power digital twin platforms, real-time operational systems, and AI/ML workloads. Working closely with data architects, simulation engineers, and ML teams, you will transform raw operational data into high-quality, governed datasets that drive intelligent decision-making. 

Our core data platform stack includes: 

Data Platform & Lakehouse 

• Databricks as the single point of truth for all data
• Realtime Data Pipelines implemented using Kafka for data ingestion.
• Databricks SQL for analytical queries 
• Unity Catalog for metadata management and governance 
• Terradata for data warehouse and business intelligence.

Stream & Event Processing 

• Apache Kafka for real-time event ingestion 
• Structured Streaming for continuous data processing 
• Delta Live Tables for declarative, quality-enforced pipelines  

Data Quality 

• Delta Live Tables expectations for data validation 
• Data profiling and anomaly detection 

Key Responsibilities 

• Design, develop, and maintain scalable data pipelines using Databricks, PySpark, and Delta Lake 
• Build real-time and batch data ingestion pipelines from diverse operational systems using high-performance Kafka data pipelines.
• Implement data transformations that serve digital twin platforms and operational analytics 
• Integrate Kafka event streams with Databricks for real-time operational state updates 
• Implement data quality checks using Delta Live Tables expectations 
• Ensure data governance compliance through Unity Catalog (lineage, access control, metadata) 
• Optimize pipeline performance, reliability, and cost efficiency 
• Write clean, well-documented, and testable code following engineering best practices 
• Collaborate with ML engineers to deliver feature-engineered datasets 
• Participate in code reviews, knowledge sharing, and continuous improvement initiatives 
• Support production data systems through monitoring, troubleshooting, and incident resolution.
• Build business data warehouse solutions using Terradata for business intelligence.

Preferred Qualifications 

• 7+ years of hands-on data engineering experience 
• Track record of building and maintaining production-grade data pipelines 
• Experience with Delta Live Tables for declarative pipeline development 
• Experience working in agile, cross-functional teams 
• Familiarity with time-series data patterns and operational data modelling 

Highly Desirable 

• Experience building data pipelines for digital twin or simulation platforms 
• Familiarity with operational state modeling for real-time systems 
• Exposure to physics-informed or time-series ML feature engineering 
• Experience working with distributed, multidisciplinary teams 
• Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is a plus 

Location: Hyderabad, Telangana 

Department: Engineering 

Employment Type: Full-Time

Store Manager

Aparel Fashion Industry

Age : Upto 30

Good Communication

Hyderabad/Trichy

Store Managemet,Store Operation

Job Title: Data Engineer

Location: Hyderabad

About us:

Blurgs AI is a deep-tech startup focused on maritime and defence data-intelligence solutions, specialising in multi-modal sensor fusion and data correlation. Our flagship product, Trident, provides advanced domain awareness for maritime, defence, and commercial sectors by integrating data from various sensors like AIS, Radar, SAR, and EO/IR.

At Blurgs AI, we foster a collaborative, innovative, and growth-driven culture. Our team is passionate about solving real-world challenges, and we prioritise an open, inclusive work environment where creativity and problem-solving thrive. We encourage new hires to bring their ideas to the table, offering opportunities for personal growth, skill development, and the chance to work on cutting-edge technology that impacts global defence and maritime operations.

Join us to be part of a team that's shaping the future of technology in a fast-paced, dynamic industry.

Job Summary:

We are looking for a Senior Data Engineer to design, build, and maintain a robust, scalable on-premise data infrastructure. You will focus on real-time and batch data processing using platforms such as Apache Pulsar and Apache Flink, work with NoSQL databases like MongoDB and ClickHouse, and deploy services using containerization technologies like Docker and Kubernetes. This role is ideal for engineers with strong systems knowledge, deep backend data experience, and a passion for building efficient, low-latency data pipelines in a non-cloud, on-prem environment.

Key Responsibilities:

• Data Pipeline & Streaming Development
• Design and implement real-time data pipelines using Apache Pulsar and Apache Flink to support mission-critical systems.
• Develop high-throughput, low-latency data ingestion and processing workflows across streaming and batch workloads.
• Integrate internal systems and external data sources into a unified on-prem data platform.
• Data Storage & Modelling
• Design efficient data models for MongoDB, ClickHouse, and other on-prem databases to support analytical and operational workloads.
• Optimise storage formats, indexing strategies, and partitioning schemes for performance and scalability.
• Infrastructure & Containerization
• Deploy, manage, and monitor containerised data services using Docker and Kubernetes in on-prem environments.
• Performance, Monitoring & Reliability
• Monitor the performance of streaming jobs and database queries; fine-tune for efficiency and reliability.
• Implement robust logging, metrics, and alerting solutions to ensure data system availability and uptime.
• Identify bottlenecks in the pipeline and proactively implement optimisations.

Required Skills & Experience:

• Strong experience in data engineering with a focus on on-premise infrastructure.
• Strong expertise in streaming technologies like Apache Pulsar, Apache Flink, or similar.
• Deep experience with MongoDB, ClickHouse, and other NoSQL or columnar storage databases.
• Proficient in Python, Java, or Scala for data processing and backend development.
• Hands-on experience deploying and managing systems using Docker and Kubernetes.
• Familiarity with Linux-based systems, system tuning, and resource monitoring.

Preferred Qualifications:

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or an equivalent combination of education and experience.

Additional Responsibilities for Senior Data Engineers :

For those hired as Senior Data Engineers, the role will come with added responsibilities, including:

• Leadership & Mentorship: Guide and mentor junior engineers, sharing expertise and best practices.
• System Architecture: Lead the design and optimization of complex real-time and batch data pipelines, ensuring scalability and performance.
• Sensor Data Expertise: Focus on building and optimizing sensor-based data pipelines and stateful stream processing for mission-critical applications in domains like maritime and defense.
• End-to-End Ownership: Take responsibility for the performance, reliability, and optimization of data systems.

Compensation:

• Data Engineer CTC: 4 - 8 LPA
• Senior Data Engineer CTC: 12 - 16 LPA

Greetings!

Hiring the below position for one of our premium client.

Role: PEGA Developer

Experience: 5-15 years

Location: PAN India

Certification: CSA & CSSA mandatory

• 4.5 - 9 of experience in Pega Development with Pega relevant certification.
• Working experience in Pega PRPC and Pega layer cake structure, class structure rule resolution ruleset structure, portals views and harness components.
• Basic data storage and database query knowledge through Pega.
• Good knowledge around integration and exposure to REST and SOAP APIs.
• Good to have knowledge and experience on at least one Pega Industry framework.
• Should be able to track and manage own tasks.
• Should have very good verbal and written communication

• Working directly with clients to understand requirements for a green field development
• Designing the technology and cloud infrastructure architecture to achieve the functional and nonfunctional requirements
• The product you will be working on needs to scale up to support millions of users an efficient micro service distributed architecture
• Solution needs to be easy to deploy and manage on multiple cloud providers (AWS, GCP or Azure)
• Mentoring, guiding and training the team on various technology, quality and security aspects
• Guiding the team to implement automated CI/CD processes
• Strong analytical, problem solving and data analysis
• Excellent communication, presentation and interpersonal skills are a must
• Micro service frameworks such as Java SpringBoot
• Design and implement automated unit and integration tests
• Writing scalable, robust, testable, efficient, and easily maintainable code
• Familiarity with most AWS Services - EC2, ECS, RDS, ECR, S3, SNS, SQS, and more
• Experience with Docker and Kubernetes
• Deploying and Scaling microservices to AWS
• Hands-on experience with AWS cloud platform in evaluation and cost estimation

Full Stack Developers (PHP with YII framework) Location Ameerpet Hyderabad

  Write high quality, structured application/interface code and documentation in YII framework

Design, develop, and maintain PHP based internal and external applications.

Work side by side with the end user/internal customer to develop, debug, and test application software for accuracy, integrity, interoperability and completeness to achieve desired results.

Requirement:

 Hands on experience with PHP , Jquery, Ajax , Front End Frameworks (Bootstrap & Materialize)

       Minimum 6 years of experience.

 Salary offered: -

10,00,000 to 14,00,000 per annum

• Responsible for collecting all in-scope business requirements
• Able to prioritize requirements and negotiate on deployment timeframes on behalf of the development team
• Ability to perform detailed analysis to ensure all aspects of the business requirement are understood
• Able to formalize business requirements, ready for two way communication business communications up and technical communications down
• Capable of managing all non-technical aspects of the new requirements
• Capable of working with the test team to develop/ review test scripts and profile of test data
• Able to produce ad-hoc SQL queries/ ad-hoc reports that can be used to monitor success of the new requirement by ensuring data is being created as it should
• Must have worked on medium to large size custom application development projects and has exposure to all phases of the SDLC
• Experience in Insurance Domain is a must
• Proficient in using Microsoft Office tools
• Get actively involved in various project phases
• Act as a key interface between users and development teams
• Technology Graduate: B.Sc IT, MSc IT / B.Tech, M.Tech/ BCA, MCA