Astro Sirens is an IT staffing agency based in Austin, Texas. We connect talented professionals from around the world with U.S. companies, offering exciting opportunities to work on innovative projects for top clients.

We are currently seeking a Senior Data Engineer to help our clients design, build, and maintain robust, scalable data platforms that support analytics, machine learning, and business intelligence initiatives. This is a remote position , and we strongly encourage and give preference to candidates based in India or Pakistan who are eager to collaborate with U.S.-based teams.

Responsibilities

Design, build, and maintain scalable, reliable, and high-performance data pipelines

Develop and manage ETL/ELT workflows to ingest data from multiple sources (APIs, databases, streaming systems, files)

Architect and optimize data warehouses and data lakes for analytics and reporting use cases

Ensure data quality, consistency, availability, and reliability across systems

Collaborate with data scientists, analysts, software engineers, and business stakeholders to understand data requirements

Implement data modeling best practices for analytical and operational workloads

Optimize data pipelines for performance, cost efficiency, and scalability in cloud environments

Build and maintain real-time and batch data processing systems

Implement monitoring, logging, and alerting for data pipelines and infrastructure

Enforce data governance, security, and compliance standards

Document data architectures, pipelines, and best practices





Mentor junior data engineers and contribute to improving data engineering standards and tooling across teams

Requirements

- Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, or a related field
- 5+ years of experience in data engineering, backend data development, or related roles
- Strong proficiency in Python and/or Java/Scala for data processing
- Advanced experience with SQL and relational databases (PostgreSQL, MySQL, MS SQL, etc.)
- Hands-on experience with data warehousing solutions (e.g., Snowflake, Redshift, BigQuery, Azure Synapse)
- Experience building ETL/ELT pipelines using tools or frameworks such as Airflow, dbt, Prefect, or similar
- Strong understanding of data modeling concepts (star/snowflake schemas, normalization, denormalization)
- Experience working with cloud platforms such as AWS, GCP, or Azure
- Familiarity with distributed data processing frameworks (e.g., Spark)
- Experience implementing CI/CD for data pipelines and infrastructure
- Strong communication skills and ability to work effectively with U.S.-based stakeholders

Preferred Qualifications

Experience with big data technologies such as Spark, Kafka, Hadoop, or Flink

Knowledge of Docker, Kubernetes, and containerized data workloads

Experience with streaming and real-time data pipelines

Exposure to MLOps or supporting machine learning workflows

Experience working with large-scale, high-volume data systems

Benefits

Paid Time Off (PTO)

Work From Home

Professional development opportunities

Training & Development Programs

Cooperative and inclusive company culture

Competitive salary and performance-based bonuses

📌 AWS Senior Data Engineer - Remote (India)
🏢 Astro Sirens
📍 India