DataETL Engineer

Responsibilities:
Design develop and maintain ETL pipelines to extract data from various sources transform it
according to business requirements and load it into target data warehouses or databases.
Collaborate with crossfunctional teams to gather requirements understand data sources and
define data transformation logic.
Implement scalable and efficient ETL solutions within cloud environments leveraging platform
services and infrastructure as code.
Optimize ETL processes for performance reliability and costeffectiveness considering factors
like data volume frequency and latency requirements.
Monitor and troubleshoot ETL pipelines to ensure data integrity timely execution and error
handling.
Stay uptodate with emerging technologies and best practices in ETL cloud computing and
data engineering and propose innovative solutions to enhance the overall data ecosystem.
Document ETL workflows data mappings and system configurations to facilitate knowledge
sharing and maintainability.
Provide technical guidance and support to junior team members fostering a collaborative and
learningoriented environment.

Requirements:
Proven experience in software development with expertise in Python programming language.
Handson experience with cloud platforms such as AWS Azure or GCP including services like
S3 EC2 Azure Data Factory Google BigQuery etc.
Strong understanding of ETL concepts methodologies and best practices.
Proficiency in containerization technologies such as Kubernetes and Docker.
Experience with scripting languages for automation and orchestration tasks (e.g. Bash
PowerShell).
Familiarity with relational databases (e.g PostgreSQL MySQL) and NoSQL databases (e.g.
MongoDB Cassandra).
Excellent problemsolving skills with a focus on delivering highquality solutions in a fastpaced
environment.
Effective communication skills with the ability to collaborate with crossfunctional teams and
articulate technical concepts to nontechnical stakeholders.

Preferred Qualifications:
Masters degree in Computer Science Engineering or related field.
Experience with data warehousing technologies and concepts (e.g. Snowflake Redshift star
schema).
Knowledge of data governance security and compliance standards in cloud environments.
Certification in relevant cloud platforms (e.g. AWS Certified Developer Azure Developer
Associate Google Cloud Professional Developer).
Familiarity with agile development methodologies and DevOps practices.
Contributions to opensource projects or active participation in developer communities.