11+ Database modeling Jobs in Hyderabad | Database modeling 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.

Job Title: Senior Data Tester

Location : Hyderabad

Mode: Hybrid

Notice Period: Immediate Joiner

Key Responsibilities:

• 8+ years of experience in ETL/data testing.
• Design, implement, and execute data validation test plans and test cases.
• Understanding of data modelling and data governance principles.
• Experience with test automation frameworks and scripting (e.g., Python, Shell)Conduct thorough ETL testing, including data extraction, transformation, and loading.
• Validate data integrity across various sources and destinations (data lakes, warehouses, etc.)
• Perform data reconciliation and analysis to identify inconsistencies or data quality issues.
• Develop and maintain automated data testing frameworks using SQL or scripting languages.
• Strong experience with SQL and writing complex queries for data validation.
• Knowledge of data warehouse concepts and testing tools. Experience with ETL tools (e.g., Informatica, Talend, SSIS, etc.)
• Familiarity with cloud platforms (Azure, GCP) and modern data tools (e.g., Snowflake, Big Query).
• GCP is mandatory. Experience in Agile development and working within cross-functional teams.
• Exposure to BI tools (Power BI, Tableau, Looker)
• Familiarity with CI/CD pipelines and version control systems like Git ISTQB or equivalent testing certifications.

The Placement Coordinator / Officer is responsible for planning, coordinating, and executing placement activities for students. This role acts as a bridge between students, training teams, and recruiting companies to ensure successful employment outcomes. Key Responsibilities  Coordinate campus recruitment and placement activities  Build and maintain relationships with companies, HRs, and recruitment partners  Identify job opportunities aligned with students’ skills and course completion  Schedule interviews, placement drives, and company visits  Prepare and share student profiles, resumes, and placement data with employers  Guide students on resume preparation, interview skills, and career readiness  Track student eligibility, attendance, and placement status  Maintain accurate placement records, reports, and documentation  Coordinate with trainers and academic teams for student readiness  Share placement updates and opportunities through emails, WhatsApp, or portals  Collect feedback from recruiters and placed candidates  Ensure placement targets and timelines are met Skills & Competencies  Strong communication and interpersonal skills  Excellent coordination and organizational abilities  Knowledge of recruitment and hiring processes  Ability to work with students, faculty, and corporate teams  Problem-solving and multitasking skills Qualifications  Any Graduate/Any Postgraduate  1–3 years of experience in placements. 

Job Description

Managing a portfolio of SME clients, monitoring their insurance needs, and

proactively engaging with them to ensure client satisfaction and retention. 

Developing and maintaining strong relationships with SME clients, understanding

their business needs, and providing personalized service. 

Identifying and pursuing new business opportunities within the SME sector to grow

the insurance company's client base and revenue. 

Ensuring smooth and efficient service delivery to SME clients, addressing their

queries and concerns promptly.

Managing a portfolio of SME clients, monitoring their insurance needs, and

proactively engaging with them to ensure client satisfaction and retention.

Selling insurance products and services to SMEs, as well as cross-selling other

relevant financial products offered by the company 

Working with internal teams and customer service, to facilitate seamless service

delivery to SME clients. 

Skills and Qualifications:

 Excellent communication, interpersonal, and negotiation skills. 

 Proven track record of achieving sales targets and identifying new business

opportunities. 

 Understanding of various insurance products and policies relevant to SMEs. 

 Providing customer service and building long-term relationships. 

 Well Experienced & Familiarity with the unique needs and challenges of SME

businesses. 

 Bachelor’s Degree.

Review Criteria:

• Strong Dremio / Lakehouse Data Architect profile
• 5+ years of experience in Data Architecture / Data Engineering, with minimum 3+ years hands-on in Dremio
• Strong expertise in SQL optimization, data modeling, query performance tuning, and designing analytical schemas for large-scale systems
• Deep experience with cloud object storage (S3 / ADLS / GCS) and file formats such as Parquet, Delta, Iceberg along with distributed query planning concepts
• Hands-on experience integrating data via APIs, JDBC, Delta/Parquet, object storage, and coordinating with data engineering pipelines (Airflow, DBT, Kafka, Spark, etc.)
• Proven experience designing and implementing lakehouse architecture including ingestion, curation, semantic modeling, reflections/caching optimization, and enabling governed analytics
• Strong understanding of data governance, lineage, RBAC-based access control, and enterprise security best practices
• Excellent communication skills with ability to work closely with BI, data science, and engineering teams; strong documentation discipline
• Candidates must come from enterprise data modernization, cloud-native, or analytics-driven companies

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) or data catalogs (Collibra, Alation, Purview); familiarity with Snowflake, Databricks, or BigQuery environments

Role & Responsibilities:

You will be responsible for architecting, implementing, and optimizing Dremio-based data lakehouse environments integrated with cloud storage, BI, and data engineering ecosystems. The role requires a strong balance of architecture design, data modeling, query optimization, and governance enablement in large-scale analytical environments.

• Design and implement Dremio lakehouse architecture on cloud (AWS/Azure/Snowflake/Databricks ecosystem).
• Define data ingestion, curation, and semantic modeling strategies to support analytics and AI workloads.
• Optimize Dremio reflections, caching, and query performance for diverse data consumption patterns.
• Collaborate with data engineering teams to integrate data sources via APIs, JDBC, Delta/Parquet, and object storage layers (S3/ADLS).
• Establish best practices for data security, lineage, and access control aligned with enterprise governance policies.
• Support self-service analytics by enabling governed data products and semantic layers.
• Develop reusable design patterns, documentation, and standards for Dremio deployment, monitoring, and scaling.
• Work closely with BI and data science teams to ensure fast, reliable, and well-modeled access to enterprise data.

Ideal Candidate:

• Bachelor’s or Master’s in Computer Science, Information Systems, or related field.
• 5+ years in data architecture and engineering, with 3+ years in Dremio or modern lakehouse platforms.
• Strong expertise in SQL optimization, data modeling, and performance tuning within Dremio or similar query engines (Presto, Trino, Athena).
• Hands-on experience with cloud storage (S3, ADLS, GCS), Parquet/Delta/Iceberg formats, and distributed query planning.
• Knowledge of data integration tools and pipelines (Airflow, DBT, Kafka, Spark, etc.).
• Familiarity with enterprise data governance, metadata management, and role-based access control (RBAC).
• Excellent problem-solving, documentation, and stakeholder communication skills.

Preferred:

• Experience integrating Dremio with BI tools (Tableau, Power BI, Looker) and data catalogs (Collibra, Alation, Purview).
• Exposure to Snowflake, Databricks, or BigQuery environments.
• Experience in high-tech, manufacturing, or enterprise data modernization programs.

About the Role

The Senior Software Development Engineer in Test (SDET) is a core member of the development

team, participating across the full development lifecycle. This role translates business and functional

requirements into deliverables, designs and maintains test automation frameworks, and ensures

automated tests are integrated into the continuous delivery pipeline. The Sr. SDET develops high-

quality, maintainable, and performant test code, consults on test automation strategy, and serves as

a leader and coach across teams to influence quality practices and standards

What You’ll Do

 Design, develop, and maintain automation systems and tools to be used by development

and test engineers.

 Analyze code coverage using industry-standard tools (e.g., SonarQube).

 Oversee integration of automated tests into the Continuous Delivery pipeline.

 Design and author test cases for unit, functional, performance, scalability, and durability

testing.

 Manage and groom automated and manual test suites for balanced coverage and fast

feedback cycles.

 Work with IT partner teams to provide, create, or modify test data through repeatable,

automated processes.

 Provide internal training on testing skills and tools; contribute to the Test Community of

Practice to evolve testing practices and standards.

 Lead defect management and interface with external teams on test strategy and execution.

 Ensure requirements and/or user stories are testable and provide estimates for user stories

and tasks.

 Coordinate with Dev and Ops regarding testing practices to ensure quality thresholds are

met.

 Contribute to design and code reviews.

 Perform other duties and projects as assigned by business management.

What You’ll Bring (Must have skills)

 Bachelor’s degree in software engineering, Computer Science, or related fields.

 4–7 years of experience using three or more development languages (e.g., C#, Java,

JavaScript).

 Any Monitoring or Observability Tools - Splunk, AppDynamics, Dynatrace, Prometheus,

Grafana, SolarWinds.

 4–7 years of experience with three or more automation tools (e.g., Selenium, TestNG,

Appium, Sauce Labs, Rest Assured, Postman, Cucumber, Jasmine, Protractor).

 4–7 years of experience with testing methodologies such as Test-Driven Development (TDD)

and Behavior Driven Development (BDD), API Testing, Acceptance Testing, end to end

testing.

 4–7 years of experience using issue-tracking software and Agile project management

systems (JIRA)

 Proficiency with SQL (querying, joins, stored procedures), Knowledge of NoSQL databases

(MongoDB, DynamoDB, etc.) – Any database

* Candidates must have Real Estate Knowledge,

* In-house drafting of all Documents MOU, Agreement to Sell, Sale Deeds, payment collections, and the bank loan process.

* Should have a minimum experience of 2 to 7 years in CRM and managing teams.

* handled Real Estate CRM.

Preferred candidate profile

* Candidate must have Real Estate Knowledge with min 2 - 4 years of experience.

* In-house drafting of all Documents MOU, Agreement to Sell, Sale Deeds, payment collections, and the bank loan process.

* Collections, preparation documentation, Bank docs.