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

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.

MUST-HAVES:

• LLM, AI, Prompt Engineering LLM Integration & Prompt Engineering
• Context & Knowledge Base Design.
• Context & Knowledge Base Design.
• Experience running LLM evals

NOTICE PERIOD: Immediate – 30 Days

SKILLS: LLM, AI, PROMPT ENGINEERING

NICE TO HAVES:

Data Literacy & Modelling Awareness Familiarity with Databricks, AWS, and ChatGPT Environments

ROLE PROFICIENCY:

Role Scope / Deliverables:

• Scope of Role Serve as the link between business intelligence, data engineering, and AI application teams, ensuring the Large Language Model (LLM) interacts effectively with the modeled dataset.
• Define and curate the context and knowledge base that enables GPT to provide accurate, relevant, and compliant business insights.
• Collaborate with Data Analysts and System SMEs to identify, structure, and tag data elements that feed the LLM environment.
• Design, test, and refine prompt strategies and context frameworks that align GPT outputs with business objectives.
• Conduct evaluation and performance testing (evals) to validate LLM responses for accuracy, completeness, and relevance.
• Partner with IT and governance stakeholders to ensure secure, ethical, and controlled AI behavior within enterprise boundaries.

KEY DELIVERABLES:

• LLM Interaction Design Framework: Documentation of how GPT connects to the modeled dataset, including context injection, prompt templates, and retrieval logic.
• Knowledge Base Configuration: Curated and structured domain knowledge to enable precise and useful GPT responses (e.g., commercial definitions, data context, business rules).
• Evaluation Scripts & Test Results: Defined eval sets, scoring criteria, and output analysis to measure GPT accuracy and quality over time.
• Prompt Library & Usage Guidelines: Standardized prompts and design patterns to ensure consistent business interactions and outcomes.
• AI Performance Dashboard / Reporting: Visualizations or reports summarizing GPT response quality, usage trends, and continuous improvement metrics.
• Governance & Compliance Documentation: Inputs to data security, bias prevention, and responsible AI practices in collaboration with IT and compliance teams.

KEY SKILLS:

Technical & Analytical Skills:

• LLM Integration & Prompt Engineering – Understanding of how GPT models interact with structured and unstructured data to generate business-relevant insights.
• Context & Knowledge Base Design – Skilled in curating, structuring, and managing contextual data to optimize GPT accuracy and reliability.
• Evaluation & Testing Methods – Experience running LLM evals, defining scoring criteria, and assessing model quality across use cases.
• Data Literacy & Modeling Awareness – Familiar with relational and analytical data models to ensure alignment between data structures and AI responses.
• Familiarity with Databricks, AWS, and ChatGPT Environments – Capable of working in cloud-based analytics and AI environments for development, testing, and deployment.
• Scripting & Query Skills (e.g., SQL, Python) – Ability to extract, transform, and validate data for model training and evaluation workflows.
• Business & Collaboration Skills Cross-Functional Collaboration – Works effectively with business, data, and IT teams to align GPT capabilities with business objectives.
• Analytical Thinking & Problem Solving – Evaluates LLM outputs critically, identifies improvement opportunities, and translates findings into actionable refinements.
• Commercial Context Awareness – Understands how sales and marketing intelligence data should be represented and leveraged by GPT.
• Governance & Responsible AI Mindset – Applies enterprise AI standards for data security, privacy, and ethical use.
• Communication & Documentation – Clearly articulates AI logic, context structures, and testing results for both technical and non-technical audiences.

Hiring: Customer Relationship Executive – Hyderabad

We are looking for a Customer Relationship Executive to manage customer interactions for our School Management Software at Assentcode Technologies.

Key Focus

• Strong communication skills (English + Telugu or English + Hindi)
• Ability to handle customer queries with clarity and confidence
• Good listening and problem-solving approach

Role Overview

• Handle customer enquiries via calls, messages, and emails
• Provide clear and accurate information about the product
• Follow up with customers to ensure issue resolution
• Maintain records of customer interactions and updates
• Coordinate with internal teams for quick support

Additional Expectations

• Maintain a professional and polite tone with customers
• Ability to manage multiple conversations and priorities
• Adapt to a fast-paced startup environment

Eligibility

• Fresher to 1 year experience
• Based in Hyderabad
• Immediate joiners preferred

Ideal Candidate

• Customer-focused with a positive attitude
• Good communication and interpersonal skills
• Responsible and consistent in follow-ups

Role: Mobile Automation Engineer (SDET) — On-site, India

Role & Responsibilities

• Design, build and maintain scalable mobile test automation frameworks for Android and iOS using Appium, Espresso, XCUITest or equivalent tools to support continuous delivery.
• Create and own automated test suites (functional, regression, UI, and smoke) that run reliably in CI/CD pipelines (Jenkins/GitHub Actions) and on cloud device farms (BrowserStack/Sauce Labs).
• Collaborate with Developers and Product Owners to translate requirements into test strategies, write robust test cases, and automate end-to-end and integration scenarios (including API tests).
• Investigate, triage, and debug failures — use device logs, ADB, Xcode traces, and performance tools to isolate flakiness and reliability issues and drive fixes.
• Integrate automated tests into build pipelines, enforce quality gates, and provide actionable reporting and metrics for release readiness.
• Advocate and implement test automation best practices: code quality, modular frameworks, reusability, CI parallelization, and maintainable test data strategies.

Skills & Qualifications

• Must-Have
• 3+ years in mobile QA/automation with hands-on experience in Appium or native frameworks (Espresso/XCUITest) across Android and iOS.
• Strong programming skills in Java/Kotlin or Swift and working knowledge of Python or JavaScript for scripting and test tooling.
• Experience integrating automated suites into CI/CD (Jenkins/GitHub Actions) and executing on real & virtual device clouds (BrowserStack/Sauce Labs).
• Practical experience with API testing (REST), test frameworks (TestNG/JUnit/Mocha), and source control (Git).
• Solid debugging skills using ADB, Xcode, Android SDK, and familiarity with mobile performance profiling.
• Preferred
• Experience building custom automation frameworks, parallel test execution, and reliability/flakiness reduction strategies.
• Knowledge of CI orchestration, containerized test runners, and mobile security or accessibility testing.
• ISTQB or equivalent QA certification, prior experience in Agile/Scrum teams, and exposure to device lab management.

Experience: 8+ Years

Work Location: Hyderabad

Mode of work: Work from Office

Senior Data Engineer / Architect

Summary of the Role

The Senior Data Engineer / Architect will be a key role within the data and technology team, responsible for engineering and building data solutions that enable seamless use of data within the organization. 

Core Activities

-         Work closely with the business teams and business analysts to understand and document data usage requirements

-         Develop designs relating to data engineering solutions including data pipelines, ETL, data warehouse, data mart and data lake solutions

-         Develop data designs for reporting and other data use requirements

-         Develop data governance solutions that provide data governance services including data security, data quality, data lineage etc.

-         Lead implementation of data use and data quality solutions

-         Provide operational support for users for the implemented data solutions

-         Support development of solutions that automate reporting and business intelligence requirements

-         Support development of machine learning and AI solution using large scale internal and external datasets

Other activities

-         Work on and manage technology projects as and when required

-         Provide user and technical training on data solutions

Skills and Experience

-         At least 5-8 years of experience in a senior data engineer / architect role

-         Strong experience with AWS based data solutions including AWS Redshift, analytics and data governance solutions

-         Strong experience with industry standard data governance / data quality solutions  

-         Strong experience with managing a Postgres SQL data environment

-         Background as a software developer working in AWS / Python will be beneficial

-         Experience with BI tools like Power BI and Tableau

Strong written and oral communication skills

Edvak is committed to delivering customized enterprise solutions that allow businesses to benefit from the use of advanced technologies to meet their organization’s objectives. We firmly believe that Artificial Intelligence can provide great productivity gains to any business. We support our clients by solving their business problems and increasing their operational efficiency by integrating and leveraging AI technological solutions.

Website: https://edvak.com/" target="_blank">https://edvak.com/

Hiring for  Angular Developer:  

• Delivering a complete front-end application
• Hands-on experience in Angular 4+ version
• Ensuring high performance & adaptability on mobile and desktop
• Writing tested, idiomatic, and documented JavaScript, HTML, and CSS
• Coordinating the workflow between the graphic designer, the HTML coder, and yourself
• Cooperating with the back-end developer in the process of building the RESTful API
• Communicating with external web services
• Deep knowledge of Angular practices and commonly used modules based on extensive work experience
• Creating self-contained, reusable, custom, and testable modules, directives, pipes, and components
• Ensuring a clear dependency chain, regarding the app logic as well as the file system
• Exp on angular material themes and best scss practices
• Extensive Typescript knowledge to create angular applications
• Thorough understanding of the responsibilities of the platform, database, API, caching layer, proxies, and other web services used in the system
• Validating user actions on the client side and providing responsive feedback
• Writing non-blocking code, and resorting to advanced techniques such as multi-threading, when needed
• Experience with all levels of operation available to the front-end, such as from creating XHRs in vanilla JS to implementing custom HTTP interceptor.
• Architecting and automating the build process for production, using task runners or scripts
• Application knowledge of unit testing. TDD knowledge is an added advantage
• Good understanding of Git and related workflows for daily development activities
• Hands-on debugging and troubleshooting skills
• Working knowledge of Agile methodology and scrum

Roles and Responsibilities

To build cross-platform mobile apps for Android, IOS, and Web. This should include making responsive UIs to efficiently query data and also manage states in an optimized manner.

Desired Candidate Profile

- Deep experience contributing to and managing high-scale production mobile apps. You must have previous experience in Flutter development.

Responsibilities and Duties :

• 2-5 years working as a full-time professional developer (Mobile) and 2 Years in a flutter is must
• Experience building a complex mobile applications, flutter would be advantage
• Good to have if it's on the Play Store/App Store or any other demo
• Willing to work with cross-platform frameworks
• Willing to learn and work on different mobile platforms frameworks when needed.
• Familiar with REST Api's, websockets in mobile integration.
• Working with a version control system (i.e., Git)
• Good communication skills.

• Strong problem-solving skills.
• Team worker.
• Very comfortable learning new technologies, tools, and platforms.
• Highly motivated.
• Initiative and passionate.
• Strong problem-solving skills.

• 6+ years of experience working with MongoDB or other NoSQL databases.
• Maintain and configure MongoDB (developer)
• Keep clear documentation of the database setup and architecture.
• Backup and Disaster Recovery management.
• Adept with all the best practices and design patterns in MongoDB for designing document schemas.
• Good grasp of MongoDB’s aggregation framework.
• Ensure that the databases achieve maximum performance and availability.
• Design indexing strategies.
• Configure, monitor, and deploy replica sets.
• Should have experience with MongoDB Atlas.
• Should have minimum experience with development and performance tuning.
• Create roles and users and set their permissions.
• Excellent written, verbal communication skills and critical thinking skills