Senior Data Engineer - ETL Tools

Job Description :

Key Responsibilities :

• Design, develop, and maintain scalable data pipelines and ETL processes to support data integration from multiple sources.
• 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 :
• Bachelor's or Masters degree in Computer Science, Engineering, Information Systems, or a related field.
• 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 :
• Experience working in hybrid or remote teams.
• 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)