Data Engineer
Full Time
Key Responsibilities
Design and maintain ETL pipelines for structured/unstructured data.
Work with big data tools like Spark, Hadoop, or EMR.
Manage and optimize data warehouses (Snowflake, Redshift, BigQuery, Azure Synapse).
Build real-time and batch data processing workflows.
Ensure data quality, governance, and compliance.
Collaborate with Data Scientists and Analysts for reporting and ML workflows.
Requirements
Bachelor’s/Master’s in Computer Science, Data Engineering, or related field.
3+ years in data engineering roles.
Strong skills in SQL, Python, and ETL tools (Airflow, Glue, Data Factory).
Experience with AWS (Redshift, Glue, S3, Athena) or Azure Data Services.
Familiarity with streaming technologies (Kafka, Kinesis).
Knowledge of data security and compliance.
Perks and Benefits
Competitive salary and performance incentives.
Health coverage and wellness benefits.
Exposure to large-scale enterprise data projects.
Opportunities for certifications and professional growth.
How to Apply
Interested candidates are invited to apply by sending their updated resume and a brief cover letter to careers@algorims.com with the subject line:
“Application for [Role Name] – [Your Full Name]”
Only shortlisted candidates will be contacted for the next stages of the selection process.