Astro Sirens LLC

Senior Data Engineer

Astro Sirens LLC

contract

Posted on:

Location Type: Remote

Location: India

Visit company website

Explore more

✨ AI Apply
Apply

Job Level

Senior

Tech Stack

AirflowAmazon RedshiftAWSAzureBigQueryCloudDockerETLGoogle Cloud PlatformHadoopJavaKafkaKubernetesMySQLPostgresPythonScalaSparkSQL

About the role

  • 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
  • Experience with big data technologies such as Spark, Kafka, Hadoop, or Flink (preferred)
  • Knowledge of Docker, Kubernetes, and containerized data workloads (preferred)
  • Experience with streaming and real-time data pipelines (preferred)
  • Exposure to MLOps or supporting machine learning workflows (preferred)
  • Experience working with large-scale, high-volume data systems (preferred)
Benefits
  • Paid Time Off (PTO)
  • Work From Home
  • Professional development opportunities
  • Training & Development Programs
  • Collaborative and inclusive company culture
  • Competitive salary and performance-based bonuses

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data engineeringETLELTdata modelingPythonJavaScalaSQLdata warehousingbig data
Soft skills
communicationcollaborationmentoringproblem-solvingorganizational skills
Certifications
Bachelor's degreeMaster's degree