Senior Data Engineer (Remote - India) at Jobgether

, , India -

Full Time

Start Date

Immediate

Expiry Date

16 Feb, 26

Salary

0.0

Posted On

18 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, Data Pipelines, ETL, ELT, Python, SQL, PySpark, Data Warehousing, Data Lakes, Cloud Ecosystems, Data Modeling, Big Data Technologies, BI Tools, Collaboration, Problem-Solving, Analytical Thinking

Industry

Internet Marketplace Platforms

Description

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Data Engineer in India. In this role, you will design, build, and maintain scalable data pipelines and systems to support data-driven initiatives across the organization. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure data is accurate, accessible, and actionable. Your work will contribute to improving data architecture, performance, and insights, helping the business make informed decisions. You will have the opportunity to work with cloud-native tools, modern ETL frameworks, and advanced analytics platforms, all within a fast-paced, collaborative, and innovative environment. Accountabilities Design, build, and maintain reliable data pipelines that process and transform large volumes of data from various sources using tools such as Azure Data Factory, AWS Glue, or Apache Airflow. Implement and optimize ETL / ELT processes with Python, SQL, and PySpark, integrating data from APIs, SaaS systems, and on-premises sources. Develop and manage data warehouses and data lakes (e.g., Snowflake, Azure Synapse, Redshift, ADLS, S3, Delta Lake) with attention to scalability, performance, and cost efficiency. Implement data partitioning, clustering, indexing, and quality validation frameworks to enhance reliability and query performance. Collaborate with data scientists, analysts, and BI teams to ensure seamless access to data for analysis and reporting through tools such as Power BI, Tableau, or Looker. Support CI/CD integration and infrastructure-as-code deployment with Terraform or CloudFormation. Monitor, troubleshoot, and continuously optimize data workflows for performance, scalability, and cost efficiency. Document data pipelines, data models, and architectural decisions, promoting data engineering best practices and standards. 5–8 years of experience as a Data Engineer or in a related role, with a proven track record of building and maintaining data systems. Advanced experience with cloud ecosystems (Azure: ADF, Synapse, ADLS, Databricks; AWS: Glue, Redshift, S3, Lambda). Strong programming skills in Python, SQL, and PySpark. Hands-on experience with ETL / ELT pipeline design, optimization, and maintenance. Knowledge of data modeling, database design, and big data technologies. Experience integrating data with BI and analytics tools, including Power BI, DAX, and data cataloging tools. Strong problem-solving, analytical thinking, and attention to detail. Excellent collaboration and communication skills for working with cross-functional teams and explaining technical concepts to non-technical stakeholders. Degree in Computer Science, Engineering, Data Science, or a related field, or equivalent professional experience. Competitive salary and company-sponsored health insurance. Fully remote work with flexible schedules. Healthy and inclusive work culture. Career growth and development programs. Referral award program. Company-provided IT equipment for remote team members. Paid holidays and generous leave policy. Transportation and meal programs for on-site team members (if applicable). Learning and professional development support. 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

Design, build, and maintain scalable data pipelines and systems to support data-driven initiatives. Collaborate with data scientists, analysts, and other stakeholders to ensure data is accurate, accessible, and actionable.