Senior Data Engineer

Overview

Job Title :- Senior Data Engineer – Azure, ETL, Snowflake

Experience :- 7+ yrs

Location :- Remote

Job Summary:

We are seeking a highly skilled and experienced Senior Data Engineer with a strong background in ETL processes, Cloud data platforms (Azure), Snowflake, SQL, and Python scripting. The ideal candidate will have hands-on experience building robust data pipelines, performing data ingestion from multiple sources, and working with modern data tools like ADF, Databricks, Fivetran, and DBT.

Key Responsibilities:

• Develop and maintain end-to-end data pipelines using Azure Data Factory, Databricks, and Snowflake.
• Write optimized SQL queries, stored procedures, and views to transform and retrieve data.
• Perform data ingestion and integration from various formats including JSON, XML, Parquet, TXT, XLSX, etc.
• Work on data mapping, modelling, and transformation tasks across multiple data sources.
• Build and deploy custom connectors using Python, PySpark, or ADF.
• Implement and manage Snowflake as a data storage and processing solution.
• Collaborate with cross-functional teams to ensure code promotion and versioning using GitHub.
• Ensure smooth cloud migration and data pipeline deployment using Azure services.
• Work with Fivetran and DBT for ingestion and transformation as required.
• Participate in Agile/Scrum ceremonies and follow DevSecOps practices.

Mandatory Skills & Qualifications:

• 7 years of experience in Data Engineering, ETL development, or similar roles.
• Proficient in SQL with strong understanding of joins, filters, and aggregations.
• Solid programming skills in Python (Functions, Loops, API requests, JSON parsing, etc.).
• Strong experience with ETL tools such as Informatica, Talend, Teradata, or DataStage.
• Experience with Azure Cloud Services, specifically:
• Azure Data Factory (ADF)
• Databricks
• Azure Data Lake
• Hands-on experience in Snowflake implementation (ETL or Storage Layer).
• Familiarity with data modelling, data mapping, and pipeline creation.
• Experience working with semi-structured/unstructured data formats.
• Working knowledge of GitHub for version control and code management.

Good to Have / Preferred Skills:

• Experience using Fivetran and DBT for ingestion and transformation.
• Knowledge of AWS or GCP cloud environments.
• Familiarity with DevSecOps processes and CI/CD pipelines within Azure.
• Proficiency in Excel and Macros.
• Exposure to Agile methodologies (Scrum/Kanban).
• Understanding of custom connector creation using PySpark or ADF.

Soft Skills:

• Strong analytical and problem-solving skills.
• Effective communication and teamwork abilities.
• Ability to work independently and take ownership of deliverables.
• Detail-oriented with a commitment to quality.

Why Join Us?

• Work on modern, cloud-based data platforms.
• Exposure to a diverse tech stack and new-age data tools.
• Flexible remote working opportunity aligned with a global team.
• Opportunity to work on critical enterprise-level data solutions.

Job Type: Full-time

Pay: ₹499,427.88 - ₹1,841,709.33 per year

Work Location: Remote