Job Description

Job Title:

ETL Developer

Job Summary

The ETL Developer is responsible for designing, developing, and maintaining data integration solutions that enable the extraction, transformation, and loading of data from various sources into data warehouses, data lakes, or other storage systems. This role ensures data quality, consistency, and availability to support business intelligence (BI), analytics, and reporting initiatives.

Key Responsibilities

Design and develop ETL processes

to extract data from multiple sources (databases, APIs, flat files, etc.), transform it according to business rules, and load it into target data systems (e.g., data warehouse).

Build and maintain data pipelines

to support analytics, reporting, and data science workloads.

Optimize ETL workflows

for performance, scalability, and reliability.

Perform data profiling, cleansing, and validation

to ensure data accuracy and consistency.

Collaborate with data analysts, BI developers, and stakeholders

to understand data requirements and deliver reliable datasets.

Monitor and troubleshoot ETL jobs

to ensure timely and accurate data delivery.

Document ETL processes, data mappings, and data flow diagrams.

Implement best practices

for data governance, version control, and process automation.

Work with cloud and on-premise data environments

(e.g., AWS, Azure, Google Cloud, SQL Server, Oracle, Snowflake, etc.).

Required Skills and Qualifications

Bachelor's degree in

Computer Science, Information Technology, Engineering

, or a related field.

3+ years

of experience in ETL development or data engineering. Strong proficiency with

ETL tools

such as: Informatica PowerCenter / Cloud Data Integration Talend Microsoft SSIS (SQL Server Integration Services) Apache NiFi, DataStage, or similar platforms Advanced

SQL skills

for data extraction and transformation. Experience working with

data warehouses

(e.g., Snowflake, Redshift, BigQuery, Synapse). Familiarity with

scripting languages

(Python, Shell, etc.) for data automation. Understanding of

data modeling

concepts (Star/Snowflake schemas). Knowledge of

data governance

,

metadata management

, and

data quality

principles. Strong problem-solving and analytical skills. Excellent communication and documentation abilities.
Job Types: Full-time, Permanent

Pay: $75,000.00-$90,000.00 per year

Benefits:

* Work from home