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Role Overview

The Data / Business Analyst plays a key role in Customer’s Data Hub initiative, supporting the delivery of standardized, trusted, and compliant regulatory data across the organization. This role act as the bridge between business requirements, data governance, and technical implementation ensuring that data pipelines, models, and mappings are accurate, validated, and ready for business use.

Key Responsibilities

Collaborate with source system owners and regulatory stakeholders to gather and refine data pipeline requirements.

Translate data pipeline requirements into epics and stories ready for refinement in Jira.

Lead backlog refinement sessions with data architects, domain leads, and scientists to prioritize data ingestion and transformation activities.

Define story structure to comprise the requirements of the work to be done and the definition of done and the different types of tasks relevant for the domain to accomplish with their associated roles, documented in a Confluence page.

Endorse the role of agile scrum master for the RDH team: coach team members in self-management, organize high-value increments in sprints meeting the definition of done

Identify and document potential data issues including quality, normalization, duplication, completeness, or governance gaps and share findings with the Data Domain and platform Lead.

Work closely with Data Architects to define and document the data transformation pipeline architecture.

Support the Data Architect in defining and maintaining the data models used across regulatory use cases by reviewing proposed changes and evaluate their relevance towards new requirements.

Support the review phase led by the Data Domain Lead, verifying that the regulatory and business context is preserved across transformed datasets.

Validate that all data mappings and transformations meet regulatory compliance, data quality, and analytical readiness standards.

Collaborate with Data Scientists to define mapping logic for regulatory entities such as substances, studies, and documents.

Review the design of quality control pipelines, ensuring mapping accuracy and alignment with analytical expectations.

Key Deliverables

Comprehensive and well-documented data pipeline and transformation specifications

Defined and validated data models and business-aligned mapping definitions

Clear and traceable backlog refinement inputs and prioritization documentation

Continuous collaboration and feedback loop with the Data Domain Lead, Platform Lead and Data Science teams

Skills and Qualifications

Bachelor’s degree in data analytics, computer science

5+ years of experience in data or business analysis e.g., Life Sciences, Agrochemical, or Pharma domain

Demonstrated expertise in data transformation pipelines, and data quality frameworks

Familiarity with metadata management and data governance principles

Strong analytical skills, with the ability to translate business requirements into technical deliverables

Excellent communication and documentation skills, with experience collaborating across disciplines e.g. Data Scientists, Architects, Domain Leads, Platform Leads

A collaborative and proactive approach, comfortable working in iterative, agile environments

High attention to detail with strong problem-solving capabilities

Self-motivated and adaptable, able to navigate ambiguity and evolving project priorities in a complex data environment

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

Hiring for GCP compliant cloud data lake solutions for clinical trials for US based pharmaceutical company.

Summary

This is a key position within Data Sciences and Systems organization responsible for data systems and related technologies. The role will part of Amazon Web service (AWS) Data Lake strategy, roadmap, and AWS architecture for data systems and technologies.

Essential/Primary Duties, Functions and Responsibilities

The essential duties and responsibilities of this position are as follows:

• Collaborate with data science and systems leaders and other stakeholders to roadmap, structure, prioritize and execute on AWS data engineering requirements.
• Works closely with the IT organization and other functions to make sure that business needs and requirements, IT processes, and regulatory compliance requirements are met.
• Build the AWS infrastructure required for optimal extraction, transformation, and loading of data from a vendor site clinical data sources using AWS big data technologies
• Create and maintain optimal AWS data pipeline architecture
• Assemble large, complex data sets that meet functional / non-functional business requirements
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics
• Work with stakeholders to assist with data-related technical issues and support their data infrastructure needs
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product
• Work with data and analytics experts to strive for greater functionality in our data systems

Requirements

• A minimum of a bachelors degree in a Computer Science, Mathematics, Statistics or related discipline is required. A Master's degree is preferred. A minimum of 6-8 years technical management experience is required. Equivalent experience may be accepted.
• Experience with data lake and/or data warehouse implementation is required
• Minimum Bachelors Degree in Computer Science, Computer Engineering, Mathematical Engineering, Information Systems or related fields
• Project experience with visualization tools (AWS, Tableau, R Studio, PowerBI, R shiny, D3js) and databases. Experience with python, R or SAS coding is a big plus.
• Experience with AWS based S3, Lambda, Step functions.
• Strong team player and you can work effectively in a collaborative, fast-paced, multi-tasking environment
• Solid analytical and technical skill and the ability to exchange innovative ideas
• Quick learner and passionate about continuously developing your skills and knowledge
• Ability to solve problems by using AWS in data acquisitions
• Ability to work in an interdisciplinary environment. You are able to interpret and translate very abstract and technical approaches into a healthcare and business-relevant solution

• Assisting with day to day operations of the People Office functions and duties
• Dealing with employee requests regarding human resources issues, rules and regulations
• Developing and implementing the HR strategy aligned to the business objectives
• Supporting and coaching the management team on all people-related matters, including business change and transformation
• Forming strong relationships with the business teams to be able to challenge and coach in a high-performance environment
• Monitoring, measuring and reporting on HR issues, opportunities and development plans and achievements within agreed formats and timescales
• Facilitating as a mediator when required to try and resolve employee grievances
• Supporting the Talent Acquisition process
• Establishing and maintaining appropriate systems for identifying, planning, delivering and measuring learning and development
• Coordinating People Office projects (meetings, training, etc)
• Promoting the company's culture as a great place to work
• Being pro-active member of the People Office team
• Onboarding of the new joiners, coordinating with colleges for the campus hiring
• Preparation of appointment letters, relieving letters, contracts, appraisals
• Handling recruitment work from time to time and conducting HR interview rounds

What you need to have:

• At least 7+ years of experience as HR manager or assistant HR Manager
• At least 1 year of experience in any Salesforce consulting company, similar to our business
• Excellent communication skills and presentation skills