Data Engineer

Key Responsibilities

Design, develop, and maintain robust

ETL/ELT data pipelines

Build and optimize

data warehouses and data lakes

Ensure data quality, integrity, security, and performance

Integrate data from multiple sources (APIs, databases, files, streaming systems)

Collaborate with analytics and data science teams to support reporting and modeling needs

Monitor, troubleshoot, and optimize data workflows

Implement best practices for data governance and documentation

Support cloud-based data solutions and infrastructure

Required Skills & Qualifications (8 Year’s)

Bachelor s degree in Computer Science, Engineering, or related field

Strong experience with

SQL

and relational databases

Hands-on experience with

Python / Java / Scala

Experience with

ETL tools

and data pipeline frameworks

Knowledge of

data warehousing concepts

(star/snowflake schemas)

Experience with

cloud platforms

(AWS, Azure, or Google Cloud Platform)

Familiarity with

Big Data technologies

(Spark, Hadoop, Kafka – preferred)

Understanding of version control (Git) and CI/CD practices

Preferred Qualifications

Experience with tools like

Airflow, dbt, Snowflake, Redshift, BigQuery

Knowledge of data security and compliance standards

Experience in Agile/Scrum environments

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