Sr. Data Engineer 4B

Jobgether; India; Remote; INR 2,500,000 - 4,000,000; Full time

Benefits offered by this job

Fully remote work within India

Regular full-time employment

Mentorship and professional growth

Access to AI-powered initiatives

Job summary

Jobgether is seeking a Senior Data Engineer (Remote within India) to design and build scalable data processing solutions. You will develop robust pipelines for ingestion, transformation, and storage, leveraging cloud, big data, and Databricks ecosystems.

You will collaborate with data scientists and analysts, troubleshoot issues, and promote best practices while mentoring junior engineers in a dynamic technology environment.

Qualifications

• Bachelor's or master's degree in CS/DS/Statistics or related field.
• Strong experience designing scalable data solutions.
• Proficient in Python and modern data engineering concepts.
• Experience with Spark, Kafka, Databricks, Snowflake and cloud data stacks.
• Familiar with Docker, Kubernetes, Git and orchestration tooling.
• Excellent communication and ability to mentor others.

Responsibilities

• Design, build, and maintain scalable data processing systems.
• Create data pipelines for ingestion, processing, and storage.
• Optimize infrastructure for performance, scalability, and reliability.
• Collaborate with data scientists and analysts on data requirements.
• Troubleshoot data pipelines and monitor data quality.
• Mentor junior data engineers and share best practices.
• Stay updated on big data and cloud engineering trends.

Skills

Python

Analytical skills

English proficiency

Education

Bachelor's or Master's degree in Computer Science, Data Science, Statistics, or a related field

Tools

Apache Spark

Apache Kafka

Databricks

Snowflake

Docker

Kubernetes

Git

Orchestration tools

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Engineer 4B based in India.

In this role, you will design and build scalable data processing solutions that support complex, data-intensive business operations. You will develop and maintain robust pipelines to ingest, transform, integrate, and store large volumes of data. Working with modern technologies across cloud platforms, big data, and data engineering, you will help ensure infrastructure is reliable, efficient, and high-performing. You will collaborate with data scientists and analysts to translate data requirements into effective technical solutions. Beyond hands-on engineering, you will contribute to troubleshooting, continuous improvement, and technical knowledge sharing. This is a full‑time, remote opportunity within a global, innovation‑driven technology environment.

Accountabilities

• Design, develop, and maintain scalable data processing systems capable of handling large volumes of structured and unstructured data.
• Build and manage data pipelines for data ingestion, processing, transformation, integration, and storage.
• Optimize data infrastructure, workflows, and processing systems to improve performance, scalability, and reliability.
• Collaborate with data scientists, data analysts, and other technical stakeholders to understand data requirements and deliver appropriate engineering solutions.
• Troubleshoot and resolve data pipeline, integration, quality, and infrastructure issues in a timely manner.
• Monitor system performance and data quality, implementing improvements to maintain operational stability.
• Apply engineering best practices across data ETL, streaming, warehousing, orchestration, and quality assurance.
• Stay up to date with emerging technologies, tools, and trends in big data and cloud engineering.
• Mentor junior data engineers, sharing technical knowledge and promoting best practices across the team.

Requirements

• Bachelor's or master's degree in Computer Science, Data Science, Statistics, or a related field.
• Strong professional experience in data engineering, including the design and implementation of scalable data solutions.
• Proficiency in Python and experience with Apache Spark and Apache Kafka.
• Experience with cloud platforms and the Databricks ecosystem.
• Knowledge of data ETL, data integration, streaming, data quality, and data warehousing concepts.
• Experience with Snowflake and performance optimization of data systems.
• Familiarity with Docker, Kubernetes, Git, and process orchestration tools.
• Understanding of quality assurance practices and system performance monitoring.
• Ability to collaborate effectively with data scientists, analysts, and cross‑functional technical teams.
• Strong troubleshooting and analytical skills, with a proactive approach to resolving complex technical challenges.
• Good communication skills and the ability to mentor and support less experienced engineers.
• Proficiency in English at C2 level.

Relevant Certifications

• Microsoft Certified: Azure Solutions Architect Expert.
• Databricks Certified Associate Developer for Apache Spark 3.0.
• Databricks Certified Data Engineer Professional.
• Microsoft Certified: Azure Data Engineer Associate.

Benefits

• Fully remote work arrangement within India.
• Full‑time, regular employment.
• Opportunity to contribute to AI‑powered transformation and technology initiatives for global enterprises.
• Hands‑on experience with advanced data engineering and cloud technologies.
• Mentorship and access to professional development opportunities.
• Learning resources and opportunities to strengthen technical expertise.
• Collaborative environment focused on innovation, continuous learning, and career growth.
• Inclusive, values‑driven workplace that promotes respect, integrity, and equal opportunity.

We appreciate your interest and wish you the best!