Senior Associate-Analytics

Job Title

Senior Associate - Data Engineer (1+ Years Experience)

Location

Gurgaon (Hybrid/Remote)

About the Role

We are looking for a detail-oriented Senior Associate – Data Engineer to support and maintain production automation and data processing workflows. This role involves monitoring Python-based automation pipelines, troubleshooting production issues.

This role is ideal for professionals with 1+ years of experience in automation, data engineering, or AI(good to have) who are comfortable working in production environments and collaborating with cross-functional teams.

Key Responsibilities

Automation & Production Support

• Monitor and support production automation pipelines developed using Python and FastAPI

• Perform L1/L2 troubleshooting for automation scripts, APIs, and data workflows

• Identify and resolve script failures, dependency conflicts, API errors, and logic edge cases

• Analyze logs, error traces, and performance issues in distributed systems

Data Processing & Validation

• Process and validate structured and semi-structured data from multiple sources (Excel, CSV, APIs)

• Perform data normalization, deduplication, and quality checks

• Investigate and resolve data inconsistencies impacting downstream workflows

DevOps, Tools & Collaboration

• Use Git for version control (branching, pull requests, conflict resolution)

• Perform basic Docker operations such as container inspection and log analysis

• Test and debug APIs using Postman and cURL

• Prepare incident reports, root cause analysis (RCA), and escalation summaries

• Collaborate with business, data, and engineering teams

AI / LLM (Good To Have)

• Support LLM-based automation workflows including prompt optimization and token management

• Assist in RAG systems by validating embeddings and debugging semantic search relevance

• Review and improve LLM output quality

Skillset

Core skills (Python, SQL, Excel, Azure/cloud platform).

Operational independence (monitoring, troubleshooting, ownership, proactiveness).

Growth opportunities (AI, Gen AI, LLM workflows, RAG, prompt engineering).

Business impact (bridging stability with AI innovation).

Qualifications

• Bachelor's degree in Engineering, Computer Science, Data Science, AI or related field