Sr. Data Engineer (Remote - India) at Jobgether

, , India -

Full Time

Start Date

Immediate

Expiry Date

12 Jan, 26

Salary

0.0

Posted On

14 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, ETL, ELT, Python, SQL, Cloud Platforms, Data Quality, Data Governance, Apache Airflow, Databricks, Snowflake, AWS Redshift, Google BigQuery, Apache Kafka, Infrastructure as Code, Mentoring

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr. Data Engineer in India. As a Senior Data Engineer, you will play a pivotal role in designing, building, and maintaining scalable data infrastructure that powers enterprise-level platforms. You will collaborate with cross-functional teams, translating business requirements into efficient, reliable, and high-performance data pipelines. The role involves implementing ETL/ELT processes, managing cloud-native data platforms, ensuring data quality, and enabling data-driven decision-making across the organization. You will have the opportunity to mentor junior engineers, champion best practices, and work with cutting-edge technologies, contributing to the evolution of a modern, global data ecosystem. This position offers a dynamic, collaborative environment and opportunities for professional growth and innovation. Accountabilities: Design, implement, and optimize robust data pipelines for batch and streaming data, handling structured and unstructured datasets. Build and maintain ETL/ELT processes to load and transform data into warehouses and analytics platforms with high accuracy. Develop scalable data architectures using cloud-native technologies and modern data platforms. Collaborate with Data Scientists, Analytics Engineers, Product Managers, and Engineering teams to deliver actionable data solutions. Implement data quality frameworks, monitoring systems, and governance practices to ensure reliability and compliance. Troubleshoot and optimize data platform performance, including query optimization and data model improvements. Maintain and enhance data infrastructure, ensuring high availability, security, and cost-effectiveness. Mentor junior engineers and promote a culture of technical excellence, code quality, and continuous learning. 6+ years of professional experience in data engineering with production-scale data systems. Expert proficiency in Python and data processing libraries (PySpark, Pandas, NumPy). Advanced SQL skills with experience in query optimization and performance tuning. Hands-on experience with modern data platforms like Databricks, Snowflake, AWS Redshift, Google BigQuery, or Azure Synapse. Strong background in ETL/ELT processes using orchestration and transformation tools (Apache Airflow, dbt, Fivetran, etc.). Experience with cloud platforms (preferably AWS) and services like S3, Lambda, Glue, EMR, Kinesis. Familiarity with streaming data technologies such as Apache Kafka or AWS Kinesis. Knowledge of data modeling techniques (dimensional modeling, data vault, wide tables, denormalization). Experience with data governance and quality tools (Atlan, Alation, Collibra, Monte Carlo, Great Expectations). Familiarity with Infrastructure as Code (Terraform, CloudFormation). Strong problem-solving, analytical, and communication skills with global, distributed teams. Bachelor’s degree in Computer Science, Engineering, or related field; advanced degrees are a plus. Competitive salary and performance-based incentives. Opportunities for skill development and certifications in modern data technologies. Flexible, remote-friendly work environment. Collaboration with diverse, global teams on cutting-edge projects. Career growth, mentorship, and knowledge-sharing opportunities. Exposure to large-scale, high-impact enterprise data platforms. 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

Design, build, and maintain scalable data infrastructure and data pipelines. Collaborate with cross-functional teams to translate business requirements into efficient data solutions.