Data Scientist

Sankalp Technology Services; Delhi; Hybrid; INR 350,000 - 550,000; Full time

Job summary

Sankalp Technology Services is seeking a senior data engineer to lead data engineering workstreams in a production environment.

You will mentor junior engineers, drive best practices, and architect AI-enabled BI/ML workflows using Spark, Databricks, Airflow and related tools, ensuring scalable, secure data pipelines. Strong English communication and willingness to travel are preferred.

Qualifications

• 5+ years in a data engineering role with team leadership.
• Expert Python and SQL; Scala/Java as needed.
• Experience building AI/ML and BI systems with RAG and embeddings.
• End-to-end AI features with guardrails, reliability, cost trade-offs.
• Robust data security and governance incl. RBAC and PII handling.
• MLOps/LLMOps with CI/CD for data workflows across cloud providers.

Responsibilities

• Lead data engineering workstreams and mentor junior engineers.
• Drive adoption of software engineering best practices within the team.
• Implement AI features end-to-end with production-ready workflows.
• Collaborate to balance quality, latency, and cost in production.

Skills

Leadership

Mentoring

Time management

English communication

Problem solving

Data-driven decision making

Cross-functional collaboration

Team autonomy

Tools

Python

SQL

Spark

LangChain

Databricks

Dask

Airflow

Dagster

Kedro

Terraform

LangSmith

Opik

Langfuse

Job description

• 5+ years of relevant professional experience in a data engineering role, with experience leading technical workstreams, mentoring junior engineers, and driving the adoption of software engineering best practices within a team
• Expert-level proficiency in Python and SQL and the ability to work in polyglot environments (Scala, Java) when required by client enterprise systems
• Strong experience building Agentic AI, Generative AI, Machine Learning, and Business Intelligence systems, including prompt design, retrieval-augmented generation (RAG), embeddings, vector databases, context construction, and output handling in production workflows using modern frameworks (Spark, LangChain, Databricks, Dask, Airflow, Dagster, Kedro, etc.)
• Ability to lead the implementation of AI features end to end, with sound judgment around model behavior, evaluation, reliability, guardrails, and the trade-offs between quality, latency, and cost
• Experience implementing robust data security and governance controls, including managing PII/PHI, authentication, and role-based access control (RBAC)
• Deep knowledge of MLOps/LLMOps including CI/CD for data workflows, automated agent evaluation (LangSmith, Opik, Langfuse), and infrastructure as code (Terraform) across cloud providers (AWS, Azure, GCP)
• Exceptional time management and ability to own technical workstreams autonomously
• Experience using coding agents (Cursor, Claude Code, Codex, etc.) is a plus
• Strong communication skills, both verbal and written, in English and local office language(s)
• Willingness to travel as required