Data Engineer (India) at Jobgether
, , India -
Full Time


Start Date

Immediate

Expiry Date

04 Feb, 26

Salary

0.0

Posted On

06 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Data Engineering, Python, AWS, Redshift, Bedrock, Lambda, Data Connectors, Docker, Kubernetes, FastAPI, Relational Databases, Cloud Data Warehouses, Generative AI, LLM Frameworks, Technical Leadership, Mentoring

Industry

Internet Marketplace Platforms

Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Data Engineer in India. This role offers an exciting opportunity to design, build, and optimize data pipelines and infrastructure that support critical business processes. You will work closely with cross-functional teams to understand requirements, model data efficiently, and deploy scalable solutions on cloud platforms. The role involves hands-on engineering, mentoring peers, and ensuring performance and reliability of large-scale data systems. You will leverage modern tools and frameworks to implement high-quality solutions while influencing technical best practices across the team. This position is ideal for someone who enjoys solving complex problems, building robust data architectures, and working in a collaborative, innovation-driven environment. Accountabilities: · Build and maintain scalable, efficient, and reliable data pipelines and ingestion solutions. · Design and optimize data models to support business analytics and operational needs. · Implement operations architecture and conduct performance engineering for large datasets in production. · Collaborate with stakeholders to understand data requirements and translate them into technical solutions. · Mentor junior engineers, promoting best practices in coding, architecture, and problem-solving. · Work independently as a technical consultant, contributing as an individual contributor while guiding the team. · Minimum 3+ years of experience in data engineering. · Strong programming skills in Python. · Hands-on experience with AWS services including Redshift, Bedrock, Lambda, and Data Connectors. · Experience with containerization and orchestration using Docker and Kubernetes. · Familiarity with FastAPI framework for API development and database connectors. · Knowledge of relational databases and cloud data warehouses. · Experience in Generative AI implementations using LLM frameworks (e.g., AWS Bedrock). · Excellent communication, negotiation, and technical leadership skills. · Participate in innovation-driven, organization-wide programs to showcase your talent. · Comprehensive insurance coverage for yourself and your spouse, including maternity and COVID-specific benefits. · Exposure to multiple products and projects across various ISVs. · Regular interactive sessions with leadership and cross-functional teams. · Fun and engaging culture with games, virtual celebrations, and Chimera Talks. · Year-end bonuses and recognition programs. · Flexible hybrid work arrangements with remote and office options. 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 3 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, it is shared directly with the company that owns the job opening. The final decision and next steps (such as interviews or assessments) are then managed by their internal hiring team. Thank you for your interest! #LI-CL1
Responsibilities
The Data Engineer will design, build, and optimize data pipelines and infrastructure to support critical business processes. This role involves collaborating with cross-functional teams to understand requirements and deploying scalable solutions on cloud platforms.
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