Senior Data Engineer

13 hours ago


Delhi Division, India Findem Full time

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)



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