Senior Data Engineer

WebSenor

remote globalPosted Jun 30, 2026
Posting intelligenceActively listed

Skills

databrickssnowflakebigqueryredshiftairflowpythonazuresparkscalagooglecloudaws

About the role

Data Engineer Work Mode: Remote Experience: 5+ Years Job Type: Full-time

Job Overview

We are seeking an experienced Data Engineer with 5+ years of expertise in designing, developing, and maintaining scalable data pipelines and enterprise data solutions. The ideal candidate will have strong experience in ETL/ELT development, data integration, and cloud-based data platforms, while supporting advanced analytics and business intelligence initiatives.

Key Responsibilities

Design, develop, and maintain ETL/ELT pipelines for enterprise data processing and analytics.

Build and optimize data ingestion, transformation, and integration workflows across multiple data sources.

Support data engineering operations for reporting, analytics, and business intelligence.

Collaborate with business and analytics teams to understand data requirements and deliver scalable solutions.

Develop and maintain data models to support reporting and analytics.

Ensure data quality, reliability, and performance of data pipelines and datasets.

Monitor, troubleshoot, and optimize production and non-production environments.

Work with modern data engineering tools to enhance data exploration and productivity.

Continuously improve data architecture, workflows, and engineering best practices.

Validate data outputs to ensure accuracy and consistency.

Required Skills

5+ years of experience in Data Engineering and ETL/ELT development.

Strong proficiency in SQL and relational databases.

Hands-on experience with Python or Scala.

Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).

Experience with modern data warehouses like Snowflake, Redshift, BigQuery, or Azure Synapse.

Knowledge of Apache Airflow or similar workflow orchestration tools.

Strong understanding of data modeling, data governance, and data quality.

Familiarity with Git and version control practices.

Excellent analytical, problem-solving, and communication skills.

Preferred Qualifications

Experience with Apache Spark, Databricks, or other big data technologies.

Exposure to enterprise analytics and AI-enabled data solutions.

Bachelor's degree in Computer Science, Information Technology, or a related field.

Pay: ₹510,010.52 - ₹1,868,185.30 per year

Work Location: Remote

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