- instinctools is a software development company that provides custom software solutions for businesses of all sizes. Our team works closely with clients to understand their specific needs and provide personalized solutions that meet their business requirements.
- instinctools is looking for a Data Engineer (Senior) for one of our clients.
Location: Bangalore or Hyderabad Work mode: Hybrid (3 days a week in the office)
Working time zone: IST
Client is a dynamic, fast-paced global platform dedicated to reimagining the movement of people and goods in real time. Driven by a relentless mission to facilitate transport, delivery, and flexible earning opportunities, the company has evolved from a ride-hailing service into a comprehensive ecosystem that handles everything from everyday mobility to multi-ton freight, meals, and essential medical supplies. With a strong commitment to continuous innovation, safety, and transparency.
Project: Architects scalable, AI/ML-ready data platforms and leads engineering best practices.
Responsibilities And Tasks
- Data Pipeline Development: (Senior) Implement data orchestration and workflow management solutions to automate and schedule data processing tasks; continue optimizing pipeline performance, resource utilization, scalability, and reliability.
- Data Modeling and Storage: (Senior) Design and implement data models and schemas to support both transactional and analytical use cases (Senior) evaluate and select appropriate data processing and storage solutions based on performance, scalability, and cost considerations.
- Data Integration and ETL: Own complex ETL architecture, ensuring data consistency, accuracy, and quality at scale.
- Data Governance and Security: (Senior) Establish and enforce data governance policies, standards, and best practices to ensure data integrity, privacy, and security.
- Monitoring and Maintenance: (Senior) Perform routine maintenance tasks such as backup and upgrades, and capacity planning; own resolution of complex pipeline/infrastructure issues.
Our Expectations Of The Ideal Candidate
- Education: Bachelor’s degree required (advanced degree preferred).
- Experience: 4–7 years as a Data Engineer or similar role, including experience architecting data solutions at scale and mentoring junior/intermediate engineers.
- Technical Skills:
Advanced Python and SQL; deep hands-on experience with distributed computing (Spark/Hadoop) at production scale; strong cloud-platform expertise (IAM, storage, compute, networking basics across AWS/GCP/Azure); experience with infrastructure-as-code and CI/CD pipelines for data infrastructure.
- Domain: Experience designing data models/schemas for both transactional and analytical use cases, and evaluating storage solutions (relational, NoSQL, data lakes) against performance/cost trade-offs; familiarity with feature stores and ML-serving infrastructure is a plus.
- Leadership: Demonstrated experience mentoring 1–3+ junior/intermediate engineers and setting technical standards for the team.
- AI Literacy & Enablement: AI-native architecture design: designs large-scale data platforms with AI/ML workloads as first-class citizens — incorporates feature stores, real-time inference pipelines, and model serving infrastructure into architectural decisions.
- AI-powered platform engineering: evaluates and implements AI-enhanced data engineering tools (e.g. AI-assisted data catalogues, intelligent pipeline monitoring, LLM-based data observability platforms).
Advanced MLOps integration: architects end-to-end MLOps pipelines covering data ingestion, feature engineering, model training infrastructure, and model serving; collaborates closely with data scientists and ML engineers.
- AI-assisted governance & compliance: uses AI tools to automate data quality checks, detect schema drift, enforce data contracts, and maintain lineage documentation at scale.
- Team AI enablement: establishes AI tool standards and guardrails for the engineering team; leads adoption of AI coding assistants, reviews policies, and trains team members on responsible use.
- Performance engineering with AI: uses AI-driven profiling and optimisation tools to tune Spark jobs, Hadoop clusters, and cloud data platform performance at scale.
Nice To Have
- A cloud certification (e.g., AWS Certified Data Engineer/Solutions Architect, GCP Professional Data Engineer).
English:
Upper-Intermediate or higher
Soft Skills
- Strong self-management and ability to work independently while meeting deadlines
- Proactive, ownership-driven mindset
- Effective and clear communicator
- Collaborative and open to feedback, with a focus on shared goals
- Strong problem-solving ability, especially in ambiguous contexts
- High attention to detail and product quality
- Adaptability to shifting priorities and emerging technologies
We Offer
- Work on a product for a global leader in mobility and logistics — a strong addition to your CV and an opportunity to solve complex challenges at worldwide scale.
- Direct, transparent employment with a local legal entity (INSTINCTOOLS INDIA PRIVATE LIMITED): correct payroll, correct tax withholding, full compliance — no intermediaries between you and the company
- A real team, not a staffing bench: we do regular team events, you get a buddy to help you onboard, you can talk to your delivery manager directly, and you’ll have ongoing support from both the project and the company — with a local manager right here in India
- Structured feedback: a regular 1:1 cadence with your delivery manager and collected feedback from the client’s product leads
- Learning opportunities, seminars and conferences and time for exploring new technologies
Important Notice Regarding Your Personal Data Security At *instinctools, We Take The Security Of Your Personal Data Very Seriously.
Please Be Informed That All
Official
Communication, Offers, And Correspondence From *instinctools Are Conducted Only Through Our Verified Company Resources, Including
Official Email Domain: @instinctools.com
Company Website: https://www.instinctools.com
Key Reminder
- instinctools will NEVER ask for sensitive personal or financial information, including: – Bank account details – Credit/debit card numbers – Passwords or PINs
If You Receive Any Suspicious Requests Claiming To Be From *instinctools Via Unofficial Channels (e.g., Personal Emails, Social Media DMs, Or Phone Calls), Please – Do not respond or share any information.
– Report it immediately to
[email protected] or your official contact.
Your trust and security are our top priorities. For any questions, always verify through our official channels.
Thank you for your attention and cooperation.
📌 Data Engineer (Senior) (Hyderabad)
🏢 Instinctools
📍 Hyderabad