Junior Data Engineer (Remote - India) at Jobgether

, , India -

Full Time

Start Date

Immediate

Expiry Date

27 Jan, 26

Salary

0.0

Posted On

29 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Azure, Data Engineering, ETL, Data Modeling, Agile, Problem-Solving, Collaboration, Documentation, Code Reviews, Performance Tuning, Data Transformation, Cluster Optimization, Jira, Azure DevOps

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Junior Data Engineer in India. This role provides an exciting opportunity to work on a modern, cloud-based data platform, helping to move, transform, and optimize large-scale datasets. As a Junior Data Engineer, you will develop and maintain data pipelines, optimize SQL queries and cluster performance, and ensure the efficient operation of Azure-based infrastructure. You will collaborate with cross-functional teams to deliver high-quality data solutions, contribute to process documentation, and participate in code reviews. This position offers hands-on experience with Python, SQL, and Azure tools, in a fully remote environment that supports professional growth and skill development. You will be part of a dynamic team that values problem-solving, attention to detail, and continuous improvement in data operations. Accountabilities Develop and maintain Python scripts for data movement and transformation across Azure storage and compute environments. Configure and optimize clusters to improve performance and resource utilization. Analyze and optimize SQL queries, including INNER JOIN and OUTER JOIN operations, using EXPLAIN plans. Collaborate with cross-functional teams using Jira or Azure DevOps to track tasks and progress. Participate in code reviews and maintain documentation of data engineering processes. Support the implementation of data modeling and ETL best practices. 1–3 years of experience in data engineering or a similar role. Proficiency in Python for data movement and transformation tasks. Strong SQL skills with experience in query optimization and performance tuning. Familiarity with Azure cloud services, including Data Factory, Databricks, or Synapse Analytics. Understanding of data modeling, ETL concepts, and Agile development methodologies. Excellent communication, collaboration, and problem-solving skills. Attention to detail and ability to work independently in a remote environment. Fully remote position with flexible working arrangements. Competitive salary and long-term contract opportunity. Exposure to cutting-edge cloud technologies and data engineering practices. Collaborative, learning-focused work environment. Opportunities for professional growth and skill development. Access to documentation, code review processes, and mentorship from experienced engineers. Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly. 🔍 Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements. 📊 It compares your profile to the job’s core requirements and past success factors to determine your match score. 🎯 Based on this analysis, we automatically shortlist the three candidates with the highest match to the role. 🧠 When necessary, our human team may perform an additional manual review to ensure no strong profile is missed. The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team. Thank you for your interest! #LI-CL1

Responsibilities

As a Junior Data Engineer, you will develop and maintain data pipelines, optimize SQL queries, and ensure the efficient operation of Azure-based infrastructure. You will collaborate with cross-functional teams to deliver high-quality data solutions and contribute to process documentation.