
Senior Data Engineer
5 days ago
Job Description :
Key Responsibilities :
- Perform data modeling for both structured and semi-structured datasets.
- Implement and manage data warehousing solutions to store and organize large volumes of data efficiently.
- Optimize ETL performance, monitor data workflows, and troubleshoot data-related issues.
- Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver high-quality solutions.
- Ensure data quality, consistency, and governance across all data assets.
- Stay current with emerging big data and cloud technologies to recommend modern Qualifications :
- Minimum 5+ years of experience in data engineering, with strong knowledge of data pipelines and ETL processes.
- Proficiency in SQL and experience with scripting languages (e.g., Python, Scala).
- Strong understanding of data modeling techniques (Star/Snowflake schemas).
- Experience with data warehousing solutions (e.g., Amazon Redshift, Google BigQuery, Snowflake).
- Hands-on experience with ETL tools and orchestration frameworks such as Apache Airflow, Talend, or Informatica.
- Exposure to big data technologies such as Hadoop, Spark, Hive, etc., is a plus.
- Familiarity with cloud platforms (AWS, GCP, or Azure).
- Excellent problem-solving skills and the ability to work in a collaborative team environment.
- Strong communication skills, both written and to Have :
- Background in data analytics or working closely with BI teams.
- Familiarity with CI/CD pipelines and DevOps practices in a data environment.
(ref:hirist.tech)
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