📌 Job Summary

Company: VSHR Unnati LLP

Role: Senior Data Engineer – Python/ETL

Location: Bangalore, Karnataka, India

Experience: 5 – 6 Years

Work Arrangement: Hybrid (3 days onsite, 2 days WFH), mid-shift (1 PM – 9 PM IST) :contentReference[oaicite:0]{index=0}

Skills Required: Python, AWS, SQL, REST API development, RDBMS & NoSQL databases, data ingestion & transformation, ETL pipeline development, Git. :contentReference[oaicite:1]{index=1}

Posted on: 29/01/2026 :contentReference[oaicite:2]{index=2}

🧠 Job Description

VSHR Unnati LLP is seeking a proactive and detail-oriented Senior Data Engineer with hands-on expertise in Python and ETL to design, develop, and maintain scalable data pipelines. You’ll work with diverse data sources and formats, manage API integration for data ingestion, and collaborate within an Agile team to support data transformation and analytics workloads. :contentReference[oaicite:3]{index=3}

Main Responsibilities

• Develop and maintain robust ETL pipelines using Python and AWS services. :contentReference[oaicite:4]{index=4}
• Ingest data from APIs, databases, log sources, and flat files. :contentReference[oaicite:5]{index=5}
• Transform and process multiple file formats (CSV, JSON, Parquet, XML). :contentReference[oaicite:6]{index=6}
• Build REST API clients and integrate data ingestion workflows. :contentReference[oaicite:7]{index=7}
• Administer RDBMS and NoSQL data stores for unified analytics. :contentReference[oaicite:8]{index=8}
• Collaborate with Agile teams and adapt to evolving data engineering needs. :contentReference[oaicite:9]{index=9}

💼 Salary Expectations (India)

Senior Data Engineer roles with 5–6 years of experience in India typically command competitive salaries roughly in the range of ₹12 LPA – ₹28 LPA+ depending on skills, cloud expertise, and company profile. Cloud-based data engineering and ETL proficiency often attract upper-end compensation. (Market benchmark for data engineering roles.)

📘 How to Prepare for This Role

• Python & Data Wrangling: Deep familiarity with Python for ETL, data transformation, and scripting. :contentReference[oaicite:10]{index=10}
• ETL & Data Pipeline Tools: Experience with AWS data services (e.g., AWS Lambda, S3), and building resilient pipelines. :contentReference[oaicite:11]{index=11}
• Databases: Strong SQL skills with RDBMS and hands-on experience with NoSQL systems. :contentReference[oaicite:12]{index=12}
• API Integration: Practice building and consuming REST APIs for data ingestion. :contentReference[oaicite:13]{index=13}
• Version Control: Version management using Git across ETL scripts. :contentReference[oaicite:14]{index=14}
• Cloud & DevOps Basics: Familiarity with cloud deployments and CI/CD for data workflows. :contentReference[oaicite:15]{index=15}

🏢 About Data Engineering Roles

Senior Data Engineers play a pivotal role in data-driven organizations by enabling structured data flows from multiple sources into analytics platforms and ML pipelines. They typically work on scalable ETL/ELT pipelines, data transformation logic, data storage design, and often support analytics teams with reliable datasets for reporting and intelligence. (General data engineering context.)

🌍 Industry Demand & Trends

The demand for skilled data engineers in India remains strong as enterprises across sectors rely on data analytics and AI. Expertise in cloud platforms (AWS, GCP, Azure), scalable pipeline design, and ETL/ELT orchestration tools remains highly valued. Data engineering professionals are increasingly expected to support real-time data workflows, governance, and integration with business intelligence and ML systems. (Industry trends in data engineering.)

⚖️ Pros & Cons of This Role

Pros	Cons
Work closely with modern data pipelines and AWS stack	Hybrid mid-shift schedules may require adaptability
Exposure to multiple data formats and real-world ingestion workflows	High expectations for independent problem solving
Strong growth potential in data engineering careers	ETL roles can involve repetitive integrations and debugging

🔗 Apply Now

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