Data Engineer

USEReady Technology Private Limited; Bengaluru; On-site; INR 1,500,000 - 2,100,000; Full time

Job summary

USEReady Technology Private Limited seeks an experienced Data Engineer to design and execute end-to-end ELT pipelines, migrating data from SQL sources into Snowflake and orchestrating bulk file transfers into Azure Data Lake Storage (ADLS).

You will work with client teams to align with connectivity, security, and governance while delivering high-quality data integration solutions.

Qualifications

• ELT/ETL pipelines: hands-on design, optimization, monitoring in production.
• SQL proficiency: complex queries, performance tuning, validation.

Responsibilities

• Design, build, and maintain scalable ELT/ETL pipelines and data workflows for ingestion and transformation.
• Extract, move, and land data from SQL databases into Snowflake staging and core layers.
• Build, execute, and monitor file movement tasks to Azure Data Lake Storage (ADLS).
• Write and tune high-performance SQL queries for data modeling, validation, and staging transformations.
• Conduct data reconciliation to ensure zero loss across pipelines during bulk migration.
• Collaborate with Lead Data Integration Expert and client teams on connectivity, security, and governance.

Skills

ELT / Data Pipelines

SQL & Relational Databases

Snowflake

Azure Cloud Storage

File Processing

Agile Execution

Job description

About Job

Primary Focus: SQL-to-Snowflake Data Transfer, ELT Pipelines & File-to-ADLS Ingestion

Role Overview

We are seeking an experienced Data Engineer to support a high-priority data integration and cloud enablement initiative. The primary focus of this role is designing and executing end-to-end ELT pipelines and data transfer workflows—migrating structured data from SQL sources into Snowflake and orchestrating bulk file transfers into Azure Data Lake Storage (ADLS).

Responsibilities

• Design, build, and maintain scalable ELT/ETL pipelines and data workflows for ingestion and transformation.

• Execute structured data extraction, movement, and landing from relational SQL databases directly into Snowflake staging and core layers.

• Build, execute, and monitor file movement tasks to efficiently transfer flat files, logs, or unstructured formats into Azure Data Lake Storage (ADLS).

• Write and tune high-performance SQL queries for data modeling, validation, data verification, and staging transformations.

• Conduct data reconciliation and completeness checks to ensure zero loss across data pipelines during bulk migration.

• Collaborate closely with the Lead Data Integration Expert and client engineering teams to align with platform connectivity, security, and governance protocols.

Required Skills

• ELT / Data Pipelines: Proven, hands-on experience building, optimizing, and monitoring production ELT/ETL pipelines and data workflows.

• SQL & Relational Databases: Strong proficiency in SQL (writing complex queries, performance tuning, indexing) for extracting and validating large datasets across relational engines.

• Snowflake: Hands-on experience loading and modeling data in Snowflake using staging strategies, COPY commands, or bulk loading utilities.

• Azure Cloud Storage: Solid background working with Azure Data Lake Storage (ADLS Gen2), Blob Storage, and associated file transfer/ingestion patterns.

• File Processing: Practical experience with bulk file ingestion formats (CSV, Parquet, JSON) and file movement tooling.

• Agile Execution: Ability to deliver rapid, high-quality results within structured project timelines.

Preferred Skills

• Experience with orchestration and transformation tools (e.g., Airflow, dbt, Azure Data Factory, or Python-driven pipeline movers).

• Familiarity with enterprise or industrial data integration platforms.

• Version control using Git.