Business development executive

Job Title: Sr. Design Engineer (Pharma Industry)

Location: Ghatkopar

Department: Design

Experience: 4-5+yrs in pharmaceuticals

Salary Range: 30-50K (Nego)

Qualifications

 Diploma / Bachelor's Degree in Mechanical field

Key Skills & Responsibility

 Should have advance knowledge in 3D Auto-Cad & Solid work.

 Experience in preparing pipeline drawings particularly in solid work Prepare bill of material with the help of solid work.

 Should have the knowledge of 3D Auto-Cad & Solid Work in the field of fabrication ofvessels would be preferred.

 Preparing assembly drawings, subassembly drawings, component drawings preparing pipelinedrawings.

 Designing, drafting and detail engineering of equipment such as Pressure vessels, Columns,Heat Exchangers.

 Storage Tanks as per ASME / API / TEMA & PED Preparation of mechanical data sheets.

 Ensuring that Designing of equipment is in a cost effective and efficient manner.

 Checking and reviewing BOM, fabrication drawing.

 Engineering Coordination with other divisions/ client

 Develop detailed design drawings and specifications for mechanical equipment, dies/tools, andcontrols, using computer-assisted drafting in solid works.

 Review and analyse specifications, sketches, drawings, ideas, and related data to assess factorsaffecting component designs and the procedures and instructions to be followed.

 Modify and revise designs to correct operating deficiencies or to reduce production problems

ROLES AND RESPONSIBILITIES:

We are looking for a Junior Data Engineer who will work under guidance to support data engineering tasks, perform basic coding, and actively learn modern data platforms and tools. The ideal candidate should have foundational SQL knowledge, basic exposure to Databricks. This role is designed for early-career professionals who are eager to grow into full data engineering responsibilities while contributing to data pipeline operations and analytical support.

Key Responsibilities-

• Support the development and maintenance of data pipelines and ETL/ELT workflows under mentorship.
• Write basic SQL queries, transformations, and assist with Databricks notebook tasks.
• Help troubleshoot data issues and contribute to ensuring pipeline reliability.
• Work with senior engineers and analysts to understand data requirements and deliver small tasks.
• Assist in maintaining documentation, data dictionaries, and process notes.
• Learn and apply data engineering best practices, coding standards, and cloud fundamentals.
• Support basic tasks related to Power BI data preparation or integrations as needed.

IDEAL CANDIDATE:

• Foundational SQL skills with the ability to write and understand basic queries.
• Basic exposure to Databricks, data transformation concepts, or similar data tools.
• Understanding of ETL/ELT concepts, data structures, and analytical workflows.
• Eagerness to learn modern data engineering tools, technologies, and best practices.
• Strong problem-solving attitude and willingness to work under guidance.
• Good communication and collaboration skills to work with senior engineers and analysts.

PERKS, BENEFITS AND WORK CULTURE:

Our people define our passion and our audacious, incredibly rewarding achievements. Bajaj Finance Limited is one of India’s most diversified Non-banking financial companies, and among Asia’s top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we’re present in India.

Who are we ?

Searce means ‘a fine sieve’ & indicates ‘to refine, to analyze, to improve’. It signifies our way of working: To improve to the finest degree of excellence, ‘solving for better’ every time. Searcians are passionate improvers & solvers who love to question the status quo.

The primary purpose of all of us, at Searce, is driving intelligent, impactful & futuristic business outcomes using new-age technology. This purpose is driven passionately by HAPPIER people who aim to become better, everyday.

Tech Superpowers

End-to-End Ecosystem Thinker: You build modular, reusable data products across ingestion, transformation (ETL/ELT), and consumption layers. You ensure the entire data lifecycle is governed, scalable, and optimized for high-velocity delivery.

The MDS Architect. You reimagine business with the Modern Data Stack (MDS) to deliver Data Mesh implementations and real value. You treat every dataset as a measurable "Data Product with a clear focus on ROI and time-to-insight.

Distributed Compute & Scale Savant: You craft resilient architectures that survive petabyte scale volume and data skew without "breaking the bank. You prove your designs with cost-performance benchmarks, not just slideware.

Al-Ready Orchestrator: You engineer the bridge between structured data and Unstructured/Vector stores. By mastering pipelines for RAG models and GenAl, you turn raw data into the fuel for intelligent, automated workflows.

The Quality Craftsman (Builder @ Heart): You are an outcome-focused leader who lives in the code. From embedding GDPR/PII privacy-by-design to optimizing SQL, Python, and Spark daily, you ensure integrity is baked into every table

Experience & Relevance

Engineering Depth: 7-10 years of professional experience in end-to-end data product development. You have a portfolio that proves your ability to build complex, high-velocity pipelines for both Batch and Streaming workloads

Cloud-Native Fluency: Deep, hands-on experience designing and deploying scalable data solutions on at least one major cloud platform (AWS, GCP, or Azure). You are comfortable navigating the nuances of EMR, BigQuery, or Synapse at scale.

Al-Native Workflow: You don't just build for Al you build with Al. You must be proficient in using Al coding assistants (e.g.. GitHub Copilot) to accelerate your delivery and have a track record of building the data foundations required for Generative Al.

Architectural Portfolio: Evidence of leading 2-3 large-scale transformations-including platform migrations, data lakehouse builds, or real-time analytics architectures.

Foster a culture of technical excellence by mentoring and inspiring a team of Data analysts and engineers. Lead deep-dive code reviewa, prompte best-practice data modeling and ensure the squad adopts modern engineering standards like CI/CD For data

Client-Facing Acumen: You have direct experience in a consultative, client-facing role. You can confidently translate a CEO's business vision into a Lead Engineer's technical specification without losing anything in translation.

The "Solver" Mindset: A track record of solving 'impossible data problems-whether it's fixing massive data skew, optimizing spiraling cloud costs, or architecting 99.9% available data services.

We are seeking a Bioinformatician with a strong background in genomics and transcriptomics, and proven experience with biological ontologies. The successful candidate will analyze outputs from pre-processed biological pipelines and support their integration into a biomedical knowledge graph.

Responsibilities:

Review and interpret genomics and transcriptomics datasets from existing pipelines

Leverage biological ontologies (e.g., GO, DO, HPO) to structure and standardize biological entities

Assist in designing and building components of a biological knowledge graph

Collaborate with computational biologists, data scientists, and software engineers

Document processes and contribute to reproducibility and data governance standards

Qualifications:

MSc or PhD in Bioinformatics, Computational Biology, or a related field

Strong knowledge of genomics and transcriptomics workflows

Experience working with biological ontologies and controlled vocabularies

Familiarity with RDF, OWL, or other semantic web technologies is a plus

Proficiency in Python, R, or similar data analysis tools

Excellent analytical and communication skills

Preferred Experience:

Previous work with knowledge graphs or biomedical data integration

• Programming Language: Java, J2EE
• Framework: Spring MVC, Spring Security, Hibernate, JMS
• Strong knowledge in any one Relational Databases (Mysql / Oracle/ SQL Server).
• Operating System: Windows & Linux.
• Configuration Management: GIT
• Tools & Utilities: STS / Eclipse / IntelliJ / NetBeans.Web/Application Server: Jboss.
• Excellent hands-on experience and knowledge of SQL.
• Strong experience in Web services (SOAP and RESTFUL).
•  Should have expertise in Design Patterns, Transactions, Multi-threading concepts.
• Experience using Maven.
•  Knowledge of data structure

• Deliver entire application life cycle - concept, design, build and test complex web applications.
•  Gather requirements around functionality and translate those requirements into elegant functional and technical solutions.
•  Collaborate with cross-functional teams to define, design, and ship new features.
• Unit-test code for robustness, including corner cases, usability, and general reliability.
•  Perform bug fixing and ensure acceptable application performance.
• Continuously upgrade knowledge on technology changes, evaluate impact to application, and implement changes to ensure minimal latency in application availability to users.
•  Work closely with project/product managers while effectively working across multiple projects and delivering to deadlines.
• Mentor the team members on the nuances of technology and implement best practices within the team.