
Expert Data Pipeline Developer
1 week ago
Job Description:
We are seeking a highly skilled Data Engineer to join our team. As a Data Engineer, you will be responsible for designing, building, and maintaining efficient, reusable, and scalable ETL/ELT pipelines for structured and unstructured data.
- Design and develop data workflows to support advanced analytics, machine learning models, and reporting tools.
- Collaborate with data scientists, analysts, and business stakeholders to gather requirements and ensure data quality and availability.
- Work with cloud and on-prem data platforms (e.g., AWS, Azure, GCP, Hadoop, or on-prem SQL/NoSQL systems).
Key Responsibilities:
- Evaluate and implement data integration solutions to improve data quality and consistency.
- Develop and maintain data pipelines using various technologies such as Apache Beam, Apache Spark, and AWS Glue.
- Optimize data processing and storage to meet performance and scalability requirements.
Required Skills and Qualifications:
- Bachelor's or Master's degree in Computer Science, Engineering, or related field.
- 6-8 years of experience in data engineering or related roles.
- Proficient in SQL, Python, or Scala for data processing.
- Experience with data orchestration tools like Apache Airflow, DBT, or Luigi.
- Familiarity with cloud platforms (AWS Glue, Azure Data Factory, GCP Dataflow, etc.).
- Hands-on experience with data warehouses such as Snowflake, BigQuery, or Redshift.
- Understanding of data modeling, normalization, and data warehousing concepts.
- Exposure to CI/CD, version control (Git), and agile development practices.
Benefits:
- Competitive remuneration package commensurate with your work experience.
- Opportunities for professional growth and development.
- Diverse and inclusive culture.
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