We are looking for a savvy Data Engineer to join our growing team of analytics experts. We are looking for a Senior Data Engineer with experience in ingesting a High Volume of data using skills like Snowflake/NiFi/Python/C#/ SQL and be part of the Data Ingestion as a Service team within the Data Engineering Department. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company’s data architecture to support our next generation of products and data initiatives.

Job requirements Experience: 4-10 years of experience

Core Responsibilities:

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement
• Strong analytic skills related to working with unstructured datasets
• Build processes supporting data transformation, data structures, metadata, dependency and workload management
• A successful history of manipulating, processing and extracting value from large disconnected datasets
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores
• Strong project management and organizational skills
• Experience supporting and working with cross-functional teams in a dynamic environment
• Understand client requirements and should have a strong understanding of cloud computing
• Should be able to work independently, as part of a distributed team across different geographies
• Should be able to learn new technologies and cross-skill as per project need

Required Experience & Skills :

• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets
• 6+ years of hands-on experience working in data warehousing, data architecture and/or data engineering environments at an enterprise scale
• 6+ years of SQL, MySQL, No-SQL, AWS Redshift, Hive, Snowflake development experience
• 6+ years of experience with schema design and dimensional data modeling
• 4+ years of Python, Pandas, NumPy programming experience
• 4+ years working experience on Map Reduce, Big-Data processing frameworks
• Experience in custom or structured (ie. Informatica/Talend/Pentaho/Fivetran) ETL design, implementation and maintenance
• Strong experience writing complex SQL queries
• Experience implementing operational best practices such as monitoring, alerting, metadata management
• BS or MS degree in Computer Science or a related technical field
• Excellent written and verbal communication skills
• Understanding business needs while being client focused
• Going the distance to make projects a success
• A willingness to take on new responsibilities
• Eager to get their hands on new technologies