Note: The job is a remote job and is open to candidates in USA. Aaratech Inc. is a technology-driven organization delivering solutions across data and analytics, cybersecurity, healthcare, and enterprise domains. The company is seeking a Senior Data Engineer to build and improve cloud-based data solutions, design scalable pipelines and data platforms, and support analytics and BI teams with reliable data.
Responsibilities
- Design and build ETL/ELT pipelines for enterprise data integration on cloud platforms
- Help design and optimize data warehouse and lakehouse structures (Snowflake, Databricks, Synapse)
- Write efficient SQL and Python/PySpark transformations
- Contribute to CI/CD, testing, and monitoring practices for data pipelines
- Help maintain data quality and documentation across the platform
- Partner with analysts, data scientists, and application teams to deliver trusted data
- Support and guide junior engineers through code reviews and knowledge sharing
Skills
- At this time, we are only able to consider candidates who are authorized to work in the United States without sponsorship
- • Bachelor's degree in Computer Science, IT, or a related field — or equivalent hands-on experience
- • 4+ years of data engineering or related experience (ETL, data warehousing, cloud data work)
- • Strong SQL and solid Python skills
- • Hands-on experience with at least one cloud data platform — Databricks, Snowflake, Azure Synapse/Data Factory, or AWS Glue/Redshift
- • Experience designing data models or pipelines for multi-source environments
- • Comfortable explaining technical work to non-technical stakeholders
- • Cloud: Azure (Data Factory, Synapse, Fabric) or AWS (Glue, Redshift, S3) — one is enough
- • Platforms: Databricks, Snowflake, or Delta Lake
- • Processing: SQL, Python, PySpark
- • Orchestration: Airflow, dbt, or Azure Data Factory — any of these
- • DevOps: Git plus Azure DevOps or GitHub Actions
- • Streaming experience (Kafka, Event Hubs, Kinesis)
- • Terraform or other infrastructure-as-code exposure
- • Familiarity with data governance or catalog tools (Unity Catalog, Purview, Collibra)
- • Any work preparing data for AI/ML use cases
- • Certifications such as Databricks Data Engineer, SnowPro, DP-203, or AWS Data Engineer — a plus, not a requirement
Benefits
- Full-Time, W2 employment
- On-Site / Hybrid work mode
Company Overview