Health Foundations & Medical Research

Frequent Jobs; Hyderabad; On-site; INR 1,800,000 - 2,320,000; Full time

Job summary

Blend360 India is hiring a Data Engineer to design, build, and optimize scalable data pipelines using Apache NiFi, PySpark, and Hive. Freshers with 0–3 years of experience and a Bachelor’s or Master’s degree are eligible. The role requires handling diverse data sources and ensuring low-latency processing for large-scale datasets.

You will work on partitioning, bucketing, and indexing strategies to improve query performance and support robust data architectures in a fast-paced environment.

Qualifications

• 0–3 years of data engineering experience.
• Bachelor’s or Master’s degree in CS/IT or related field.
• Strong Python, SQL, and data processing concepts.

Responsibilities

• Design, build, and optimize scalable data pipelines to automate ingestion, cleansing, and enrichment.
• Ensure pipelines meet low-latency and high-throughput requirements.
• Architect and manage datasets on HDFS to support large-scale storage.
• Develop distributed processing workflows in PySpark and Hive for large datasets.
• Implement partitioning, bucketing, and indexing to optimize queries.

Skills

Performance tuning

Automation

Debugging

Agile

Apache

Information technology

Monitoring

SQL

Python

Education

Bachelor's or Master's Degree

Tools

HDFS

PySpark

Hive

Job description

Blend360 India is Hiring for Data EngineerRole. All the Candidates who completed Bachelor’s Degree are eligible.

Blend360 India is Hiring | Data Engineer

Job Description

• Company Name: Blend360 India
• Job Role: Data Engineer
• Qualification: Bachelor’s or Master’s Degree
• Batch: 2023/2024/2025/2026
• Experience: Freshers (0-3 years)
• Salary: Upto 23.2 LPA (Expected)
• Last Date: As soon as possible.

Job Role & Responsibilities

• Design, build, and optimize scalable data pipelines in Apache NiFi to automate ingestion, cleansing, and enrichment from structured, semi-structured, and unstructured sources.
• Ensure pipelines meet low-latency and high-throughput requirements for distributed processing.
• Architect and manage datasets on HDFS to support high-volume,fault-tolerant storage.
• Develop distributed processing workflows in PySpark and Hive to handle large-scale transformations, aggregations, and joins across petabyte-level datasets.
• Implement partitioning, bucketing, and indexing strategies to optimize query performance.

Eligibility Criteria

• Experience: 0-3 years
• Degree: Bachelors Degree in Computer Science, Information Technology, or a similar field
• Skills: Performance tuning, Automation, Debugging, Agile , Apache, Information technology, Monitoring, SQL, Python
• Problem Solving mindset.

PREFERRED SKILLS

• Intellectually curious, eager to learn new things with an eye towards innovation
• Strategic, able to focus on business goals
• Excellent, at solving unstructured problems independently.
• Highly organized, able to prioritize multiple tasks
• Strong, communicators able to build relationships with key stakeholder
• Problem Solving mindset.

ABOUT COMPANY

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people. With a mission to fuel bold visions, Blend tackles significant challenges by seamlessly aligning human expertise with artificial intelligence. The company is dedicated to unlocking value and fostering innovation for its clients by harnessing world-class people and data-driven strategy. We believe that the power of people and AI can have a meaningful impact on your world.