Description:

Allata is an IT company focused on strategy, architecture, and enterprise-level application development with offices in the US, India, and Argentina.
The company aims to enhance business opportunities, create efficiencies, automate processes through custom technologies, and provide elegant solutions to inefficient problems.
The Data Engineer will contribute to transformative enterprise data platform projects, developing data pipelines and logic engines for managing ingest, staging, and multi-tier data product modeling and enrichment.
This role involves full life cycle design, build, deployment, and optimization of data products for multiple large enterprise industry vertical-specific implementations.
Responsibilities include collaborating on the overall architecture of the solution, designing and deploying processing modules using SQL, Stored Procedures, and Python, and optimizing data pipelines on platforms like Snowflake, Databricks, SQL Server, or Azure Data Fabric.

Requirements:

Candidates must have current knowledge of modern data tools such as Snowflake, Databricks, FiveTran, Tableau, and Power BI, along with core experience in data architecture, data integrations, data warehousing, and ETL processes.
Applied experience in SQL, Stored Procedures, and Python is required based on the area of data platform specialization.
Strong knowledge of relational database systems, including MS SQL Server, Postgres SQL, Oracle, Snowflake, Azure SQL, AWS RDS, Aurora, or comparable engines is essential.
Automation experience with CI/CD pipelines to support deployment and integration workflows is a plus, particularly with trunk-based development using GitHub Enterprise.
Proficiency in Python for advanced data processing tasks and experience with DBT and Airflow for rapid model prototyping and collaboration are advantageous.
Candidates should possess the ability to identify, troubleshoot, and resolve complex data issues effectively, along with strong teamwork and communication skills.

Allata offers a full-time remote position, allowing flexibility in work location.
Employees will have the opportunity to work on transformative projects that enhance their skills and experience in data engineering.
The company promotes a collaborative work environment with cross-functional teams, fostering professional growth and innovation.
There is a commitment to delivering high-quality, accurate, and reliable data product solutions, which can enhance job satisfaction and career development.
Employees are encouraged to embrace new tools, technologies, and methodologies, supporting continuous learning and adaptation in the field.