Data Engineer (Remote - 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

Skills

Data Engineering, Data Pipelines, ETL, Cloud Platforms, AWS, Azure, Google Cloud, Apache Spark, Snowflake, SQL, Python, Data Cleaning, Data Transformation, Data Modeling, Problem-Solving, Collaboration

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 focused on building scalable data solutions for machine learning and AI applications. You will work with large-scale datasets, develop robust and reliable data pipelines, and ensure data is cleaned, transformed, and available for analytics and AI workflows. This role offers the opportunity to collaborate closely with data scientists, ML engineers, and other stakeholders while leveraging modern cloud platforms and big data technologies. Ideal candidates are detail-oriented, passionate about data quality, and thrive in a fast-paced, technology-driven environment. You will play a key role in enabling data-driven insights and innovation across multiple initiatives. Accountabilities: · Build, maintain, and optimize scalable data pipelines to support data science and machine learning workflows. · Ingest, clean, transform, and validate large volumes of structured and unstructured data from multiple sources. · Design ETL pipelines and processes that ensure data quality, consistency, and accessibility. · Collaborate with AI, ML, and data science teams to understand data requirements and deliver high-quality datasets. · Utilize cloud platforms including AWS (SageMaker, Lambda, S3), Azure, and Google Cloud (Vertex AI) for data processing and storage. · Work with big data technologies such as Apache Spark and Snowflake to enable large-scale analytics. · Manage relational and non-relational databases including SQL, MySQL, PostgreSQL, and MongoDB. · 2-3 years of experience as a Data Engineer or in a similar data-focused role. · Strong SQL skills and understanding of relational databases. · Proficiency in Python or a comparable scripting language for data workflows. · Familiarity with data processing frameworks like Apache Spark, PySpark, or Pandas. · Experience in data cleaning, transformation, and handling inconsistent or missing data. · Basic understanding of data modeling concepts and data warehousing. · Strong problem-solving skills, attention to detail, and ability to work collaboratively. · Nice to have: experience with cloud platforms (AWS, GCP, Azure), tools like Airflow, DBT, Kafka, unstructured data processing, version control (Git), and ML workflow support. · Bachelor’s or Master’s degree in Computer Science, Information Technology, AI/ML, or a related field. · Flexible work environment with support for remote work. · Opportunities for professional development and skill enhancement. · Inclusive and diverse workplace culture that values every team member. · Health and wellness support, including access to benefits and programs. · Collaboration with a high-performing, innovative team on AI and ML initiatives. · Participation in cutting-edge projects leveraging modern cloud and big data technologies. 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

Build and optimize scalable data pipelines to support data science and machine learning workflows. Collaborate with AI, ML, and data science teams to ensure high-quality datasets are delivered.