Senior Software Quality Analyst

Lead Data Engineer

What are we looking for

real solver?

Solver? Absolutely. But not the usual kind. We're searching for the architects of the audacious & the pioneers of the possible. If you're the type to dismantle assumptions, re-engineer ‘best practices,’ and build solutions that make the future possible NOW, then you're speaking our language.

Your Responsibilities

What you will wake up to solve.

• Lead Technical Design & Data Architecture: Architect and lead the end-to-end development of scalable, cloud-native data platforms. You’ll guide the squad on critical architectural decisions—choosing between Batch vs. Streaming or ETL vs. ELT—while remaining 100% hands-on, contributing high-quality, production-grade code.
• Build High-Velocity Data Pipelines: Drive the implementation of robust data transports and ingestion frameworks using Python, SQL, and Spark. You will build integration layers that connect heterogeneous sources (SaaS, RDBMS, NoSQL) into unified, high-availability environments like BigQuery, Snowflake, or Redshift.
• Mentor & Elevate the Squad: Foster a culture of technical excellence by mentoring and inspiring a team of data analysts and engineers. Lead deep-dive code reviews, promote best-practice data modeling (Star/Snowflake schema), and ensure the squad adopts modern engineering standards like CI/CD for data.
• Drive AI-Ready Data Strategy: Be the expert in designing data foundations optimized for AI and Machine Learning. You will champion the use of GCP (Dataflow, Pub/Sub, BigQuery) and AWS (Lambda, Glue, EMR) to create "clean room" environments that fuel advanced analytics and generative AI models.
• Partner with Clients as a Technical DRI: Act as the Directly Responsible Individual for client success. Translate ambiguous business questions into elegant data services, manage project deliverables using Agile methodologies, and ensure that the data provided is accurate, consistent, and mission-critical.
• Troubleshoot & Optimize for Scale: Own the reliability of the reporting layer. You will proactively monitor pipelines, troubleshoot complex transformation bottlenecks, and propose ways to improve platform performance and cost-efficiency.
• Innovate and Build Reusable IP: Spearhead the creation of reusable data frameworks, custom operators, and transformation libraries that accelerate future projects and establish Searce’s unique technical advantage in the market.

Welcome to Searce

The AI-Native tech consultancy that's rewriting the rules.

Searce is an AI-native, engineering-led, modern tech consultancy that empowers clients to futurify their business by delivering intelligent, impactful, real business outcomes. Searce solvers co-innovate with clients as their trusted transformational partners ensuring sustained competitive advantage. Searce clients realize smarter, faster, better business outcomes delivered by AI-native Searce solver squads. 

Functional Skills 

the solver personas.

• The Data Architect: This persona deconstructs ambiguous business goals into scalable, elegant data blueprints. They don't just move data; they design the foundation—from schema design to partitioning strategies—that allows data scientists and analysts to thrive, foreseeing technical bottlenecks and making pragmatic trade-offs.
• The Player-Coach: As a hands-on leader, this persona leads from the front by writing exemplary, production-grade SQL and Python while simultaneously mentoring and elevating the skills of the squad. Their success is measured by the team's ability to deliver high-quality, maintainable code and their growth as engineers.
• The Pragmatic Innovator: This individual balances a passion for modern data tech (like Generative AI and Real-time Streaming) with a sharp focus on business outcomes. They champion new tools where they add real value but are disciplined enough to choose stable, cost-effective solutions to meet deadlines and deliver robust products.
• The Client-Facing Technologist: This persona acts as the crucial technical bridge between the data squad and the client. They build trust by listening actively, explaining complex data concepts (like data latency or idempotency) in simple terms, and demonstrating how engineering decisions align with the client’s strategic goals.
• The Quality Craftsman: This individual possesses an unwavering commitment to data integrity and treats data engineering as a craft. They are the guardian of the reporting layer, advocating for robust testing, data validation frameworks, and clean, modular code to ensure the long-term reliability of the data platform.

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.
• AI-Native Workflow: You don’t just build for AI; you build with AI. You must be proficient in using AI coding assistants (e.g., GitHub Copilot) to accelerate your delivery and have a track record of building the data foundations required for Generative AI.
• Architectural Portfolio: Evidence of leading 2-3 large-scale transformations—including platform migrations, data lakehouse builds, or real-time analytics architectures.
• 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.

Join the ‘real solvers’

ready to futurify?

If you are excited by the possibilities of what an AI-native engineering-led, modern tech consultancy can do to futurify businesses, apply here and experience the ‘Art of the possible’. Don’t Just Send a Resume. Send a Statement.

Primary responsibilities: 

·        Design, develop web applications using AngularJS 6 or above

·        Work closely with onsite, offshore, and cross functional teams, Product Management, backend developers, SQA teams to effectively use technologies to build and deliver high quality and on-time delivery

·        Proactively Identify risks and failure modes early in the development lifecycle and develop POCs to mitigate the risks early in the program

·        Assertive communication and team skills

·        This individual be self-directed, highly motivated, and organized with strong analytical thinking and problem-solving skills, and an ability to work on multiple projects and function in a team environment.

·        Keep an eye on NFR’s and ensure our product is meeting all required compliances as per Carrier standards.

Experience and Skills Required: 

·        5-8 years of overall experience in web appSoftwareproduct development

·        At least 5 years of experience in AngularJS

·        Solid working knowledge of using Cloud native resources for data retrieval and persistence.

·        Thorough working knowledge in integrating with Azure, azure functions, Microservices etc.,

·        Having work experience in Javascript frameworks is an added advantage.

·        Experience in executing CI/CD processes

Qualifications:

·             B.E/B.Tech/MCA/M.Tech qualification

What you need to have:

• Minimum 2 years of data analytics and interpretation experience
• Proven experience to show how data analytics shaped strategy, marketing and product. Should have multiple examples of this based on current and past experience
• Strong Data Engineering skills using tools like SQL, Python, Tableau, Power BI, Advanced Excel, PowerQuery etc
• Strong marketing acumen to be able to translate data into marketing outcomes
• Good understanding of Google Analytics, Google AdWords, Facebook Ads, CleverTap and other analytics tools
• Familiarity with data sources like Branch/ Clevertap / Firebase, Big Query, Internal Tables (User/ Click/ Transaction/ Events etc)    

• Strong technical knowledge in software, hardware, and networking
• Prior experience in Customer service or call center environment
• IP protocol and network experience highly desirable
• Working knowledge of NetApp technical systems (6 months or more)
• Strong understanding of computing technology including hardware components, data storage, operating systems, software applications, common peripheral devices, and external connectivity
• Sound problem solving skills with linear and logical troubleshooting skills
• Process knowledge, assessment, design and documentation skills
• Strong oral and written communication skills
• Solid analytical, technical, and project management skills
• Must have proficiency with various software applications including Microsoft Office (Word, Excel, PowerPoint, Outlook)
• Ability to work independently with minimal supervision
• Must be available weekends
• Languages: B2 English

Informatica PowerCenter (9x ,10.2) : Minimum 2+ years experience

SQL / PLSQL: Understanding of SQL procedure. Able to convert procedures into Informatica mapping.

Good to have- Advantage if you have knowledge of Windows Batch Script.

Tech Stack:

Golang, Microservices (AWS ECS, App Mesh), Ruby, Rails, MySQL, Postgres, Redis, NATS.

Required Skills:

- 5+ years of experience with Ruby on Rails OR 2+ years of experience with Golang.

- 5+ years of experience with MySQL or Postgres and relational data modelling.

- Experience consuming and writing REST APIs.

- Focus on writing clear, maintainable, tested code.

- Experience with Git, continuous integration and regular deployments.

- Experience with complex Rails projects and design principles.

- Strong willingness to learn and use Golang at work.

- Experience with CI (continuous integration).

- Strong understanding of Linux.

- Strong understanding of Docker.

- You must be a strong communicator who can explain complex ideas to anyone regardless of background.

Preferred Skills:

- 2+ years of experience with Golang.

- Experience with Microservices deployed in Kubernetes.

- Experience with AWS ECS, App Mesh and Lambda.

- Ability and interest in mentoring junior engineers a plus.

- Excellent written communication skills and diligent ability to contribute to the team by performing code reviews.

- B.S. in Computer Science, Computer Engineering, Software Engineering, or equivalent experience