Software Engineer

Moldova

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Not SpecifiedCompensation

Mid-level (3 to 4 years)Experience Level

Full TimeJob Type

UnknownVisa

Data EngineeringIndustries

Requirements

Candidates must possess a Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience, along with 4+ years of experience in data engineering or a similar role with a strong focus on building and maintaining data pipelines. Proficiency in Python, including data structures, algorithms, and libraries like Pandas and NumPy, is essential. Strong experience with SQL and NoSQL databases, including design, optimization, and performance tuning, is required. Familiarity with data warehousing concepts and platforms such as Amazon Redshift, Google BigQuery, or Snowflake is necessary. Hands-on experience with ETL tools like Apache Airflow, Talend, or custom Python scripts is needed, as is knowledge of data modeling and designing scalable data architectures. The ability to troubleshoot complex data issues and ensure data quality and reliability is also a key requirement. Preferred qualifications include experience with cloud platforms (AWS, GCP, Azure) and their data services, knowledge of big data technologies (Spark, Hadoop, Kafka), understanding of data governance, privacy, and compliance standards, familiarity with data visualization tools (Tableau, Power BI, Looker), and experience with version control systems (Git) and CI/CD practices. Strong communication skills and the ability to collaborate effectively with cross-functional teams are also preferred, as are relevant data engineering or cloud certifications.

Responsibilities

The Data Engineer will transform raw data into actionable insights by designing, developing, and maintaining robust data pipelines and data warehouses, ensuring data integrity and quality. Responsibilities include building and optimizing scalable ETL processes, collaborating with cross-functional teams to define and implement efficient data models, and monitoring data workflows for performance improvements. The role also involves implementing data quality checks, maintaining comprehensive documentation, and advocating for best practices in data management to enable data-driven decision-making and ensure the data infrastructure meets evolving business needs.

Skills

Python

Pandas

NumPy

SQL

NoSQL

PostgreSQL

MongoDB

Amazon Redshift

Google BigQuery

Snowflake

ETL

Apache Airflow

Talend

Data Warehousing

Data Pipelines

Data Modeling

Data Integrity

Data Quality

ETL Processes

Data Management

Astra

Provides launch services for small satellites

About Astra

Astra provides launch services specifically for small satellites, catering to commercial businesses, government agencies, and research institutions that need reliable access to space. The company operates small, agile rockets designed to transport these satellites into low Earth orbit (LEO). Astra's approach focuses on making space more accessible by reducing the costs and complexities associated with satellite launches, which allows a wider range of customers to utilize their services. Unlike many competitors, Astra emphasizes efficiency and cost-effectiveness in its operations, aiming to meet the growing demand for satellite-based services such as Earth observation and telecommunications. The company's goal is to facilitate more frequent and affordable satellite launches, thereby expanding opportunities for various applications in the space industry.

Alameda, CaliforniaHeadquarters

2016Year Founded

$291.8MTotal Funding

IPOCompany Stage

AerospaceIndustries

201-500Employees