Job Description

Job Title: Senior Data Engineer
Location: Ahmedabad, India
Experience Required: 4 to 7 years
Shift Timing: US, UK, Australia or Indian Shift
Job Type: Full-time, Work from Office
Skill :ETL, Data Pipeline, Data Engineering, SQL
Company Overview
We are a forward-thinking analytics and technology consulting company, delivering high-impact data engineering, analytics, and cloud solutions to clients across various industries. We help organizations unlock the value of their data through modern, scalable, and secure architectures.
Role Overview
We are looking for a Senior Data Engineer with strong expertise in designing and developing robust, scalable data pipelines and architectures. This role requires advanced knowledge of ETL, data engineering frameworks, and cloud technologies to support enterprise-grade data solutions.
Key Responsibilities
Design, implement, and manage end-to-end data pipelines that ingest, transform, and deliver high-quality data.
Develop and optimize ETL workflows for structured and unstructured data from multiple sources.
Collaborate with business analysts, data scientists, and stakeholders to understand data requirements and translate them into scalable data solutions.
Ensure data integrity, quality, and governance through validation, cleansing, and monitoring practices.
Work on data modeling, data warehousing, and data lake architecture development.
Utilize cloud platforms (AWS, Azure, or GCP) to deploy and manage data infrastructure.
Mentor junior team members, provide code reviews, and promote engineering best practices.
Create and maintain detailed documentation for data architecture, workflows, and business logic.
Key Skills & Competencies
ETL Design & Development
Advanced SQL & Query Optimization
Data Pipeline Engineering
Data Modeling (Star/Snowflake Schema)
Cloud Platforms (AWS, Azure, or GCP)
Data Warehousing & Big Data Technologies
Workflow Orchestration (Apache Airflow, ADF, etc.)
Programming/Scripting (Python preferred)
Data Quality Assurance
CI/CD & Git Version Control
Technical Requirements
Proven experience in building enterprise-grade ETL pipelines and managing large-scale data environments.
Strong understanding of relational and NoSQL databases.
Hands-on experience with data integration tools and cloud data services.
Familiarity with tools like Airflow, SSIS, Databricks, or Glue is a plus.
Knowledge of data security, governance, and compliance standards.