Senior Data Engineer - ETL Tools

<p>Job Description :</p><p><br/></p><p>Data Architecture : Design, implement, and optimize scalable and efficient data architectures and pipelines to support various data use cases.<br/><br/>Data Pipeline Development : Create and maintain data pipelines that ingest, transform, and store data from various sources (e.g., databases, APIs, logs, and external data feeds).<br/><br/>Data Modeling : Develop and maintain data models, ensuring they are optimized for analytical and reporting needs.

Use techniques such as dimensional modeling and data normalization.<br/><br/>Data Governance : Implement and enforce data governance practices to ensure data accuracy, consistency, and security.<br/><br/>Mentorship : Provide guidance and mentorship to junior data engineers and team members.<br/><br/>- Writing complex SQL queries.<br/><br/>- Strong knowledge of ETL tools and frameworks (e.g., Apache Airflow, Talend, Informatica).<br/><br/>- Experience with big data technologies (e.g., Hadoop, Spark, Kafka) is preferred.<br/><br/>- Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and their data services.<br/><br/>- Minimum of 5 years of experience in data engineering or a similar role, with a proven track record of building and managing complex data systems.<br/><br/>- Experience with data warehousing tools like Snowflake , Databricks<br/><br/>Must Skills : SQL queries,ETL tools and frameworks,Big data technologies,Cloud platforms (AWS, Azure, GCP),Data warehousing<br/><br/>Notice period : 30days</p> (ref:hirist.tech)