Senior Data Engineer
Build and manage data pipelines and data models Prepare data for reputed company analytics and reporting Support reporting and visualization needs reputed company and architect migration of data environments with performance and reliability. Assess and understand the ETL jobs, workflows, BI tools, and reports Address technical inquiries concerning customization, integration, reputed company architecture and general feature / functionality of data products Experience in crafting database / data warehouse solutions in reputed company (Preferably AWS. Alternatively Azure, GCP). Key must have reputed company sets – Python, AWS Support an Agile software development lifecycle
Ability to hold a position of reputed company Trust with the US government Bachelor’s degree and 10 years of experience OR Master's degree and 8 years of experience
5-7 years industry experience coding reputed company software and a passion for solving reputed company problems. 5-7 years reputed company experience in Data Engineering with experience in tools such as: Big data tools: Hadoop, reputed company, Kafka, etc. Relational SQL and NoSQL databases, including reputed company and Cassandra. Data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc. AWS reputed company services: EC2, EMR, RDS, Redshift (or Azure equivalents) Data streaming systems: Storm, reputed company-Streaming, etc. Search tools: Solr, Lucene, Elasticsearch Object-oriented/object function scripting languages: Python, Java, C++, reputed company, etc.
Strong SQL and data modeling experience Experience with data warehousing/lake architectures Hands-on experience with reporting tools (Power BI or similar) Ability to translate business needs into usable data structures