Data Engineer (Remote - India) at Jobgether

, , India -

Full Time

Start Date

Immediate

Expiry Date

17 Feb, 26

Salary

0.0

Posted On

19 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL, SQL, Python, Apache Spark, Data Quality, Data Transformation, Cloud Platforms, Data Warehousing, Analytical Skills, Collaboration, Big Data Technologies, Database Management, Unstructured Data Processing, Data Modelling, Machine Learning

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. We are seeking a talented Data Engineer to join a dynamic AI Product Team, working with large-scale datasets to enable cutting-edge AI and machine learning applications. In this role, you will design, develop, and maintain robust data pipelines, ensuring high-quality, reliable, and actionable data for analytics and AI-driven solutions. You will collaborate closely with data scientists and engineers to optimize workflows, implement transformations, and process structured and unstructured data across cloud platforms. This position offers the opportunity to work in a fast-paced, innovative environment, leveraging modern big data technologies and contributing directly to impactful AI initiatives. The ideal candidate is technically strong, detail-oriented, and thrives in a collaborative, problem-solving culture. Accountabilities: Build, maintain, and optimize scalable data pipelines to support data science and AI/ML initiatives. Ingest, clean, and transform large volumes of structured and unstructured data from multiple sources. Ensure data quality, validation, and consistency across datasets. Design and optimize ETL pipelines for efficient data processing and management. Collaborate with cross-functional teams to understand data requirements and deliver high-quality datasets. Utilize big data technologies such as Apache Spark, Snowflake, and cloud platforms (AWS, Azure, Google Cloud). Manage databases using SQL, MySQL, PostgreSQL, and MongoDB, optimizing queries and workflows. 2–3 years of experience as a Data Engineer or in a similar data-focused role. Strong SQL skills and proficiency with relational databases. Experience with data processing frameworks such as Apache Spark, Pandas, or PySpark. Proficiency in Python or another scripting language for data workflows. Understanding of data modelling, data warehousing, and ETL concepts. Ability to clean, transform, and validate large datasets, ensuring consistency and accuracy. Strong analytical skills and attention to detail. Bonus: experience with cloud platforms (AWS, GCP, Azure), workflow tools (Airflow, DBT, Kafka), version control systems (Git), unstructured data processing, or preparation of data for ML workflows. Bachelor’s or Master’s degree in Computer Science, IT, AI/ML, or a related field. Competitive salary and performance incentives. Access to cutting-edge AI and data technologies. Flexible remote work and collaborative environment. Professional development and learning opportunities. Inclusive and diverse workplace with equal opportunity policies. 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, 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

The Data Engineer will build, maintain, and optimize scalable data pipelines to support data science and AI/ML initiatives. This role involves ingesting, cleaning, and transforming large volumes of structured and unstructured data from multiple sources.