Location
Bangalore | India
Job description
- DocuSign is seeking a talented and results oriented Data Engineer to focus on delivering trusted data to the business
- As a member of the Global Data Analytics (GDA) Team, the Data Engineer leverages a variety of technologies to design, develop and deliver new features in addition to loading, transforming and preparing data sets of all shapes and sizes for teams around the world
- During a typical day, the Engineer will spend time developing new features to analyze data, develop solutions and load tested data sets into the Snowflake Enterprise Data Warehouse
- The ideal candidate will demonstrate a positive can do attitude, a passion for learning and growing, and the drive to work hard and get the job done in a timely fashion
- This individual contributor position provides plenty of room to grow -- a mix of challenging assignments, a chance to work with a world-class team, and the opportunity to use innovative technologies such as AWS, Snowflake, dbt, Airflow and Matillion
This position is an Individual Contributor, reporting to the Senior Manager Data Warehouse
Responsibility
- Design, develop and maintain scalable and efficient data pipelines
- Analyze and Develop data quality and validation procedures
- Work with stakeholders to understand the data requirements and provide solutions
- Troubleshoot and resolve data issues in a timely manner
collaborate with cross-functional teams to ingest data from various sources - Continuously evaluate and improve data architecture and processes
- Own, monitor, and improve solutions to ensure SLAs are met
- Develop and maintain documentation for Data infrastructure and processes
- Executes projects using Agile Scrum methodologies. Team player
What you bring
Basic
- Bachelor s Degree in Computer Science, Data Analytics, Information Systems, etc.
- Experience developing data pipelines in one of the following languages: Python or Java
- 5+ years dimensional and relational data modeling experience
- Excellent SQL and database management skills
Preferred
- 5+ years in data warehouse engineering (OLAP) Snowflake, BigQuery, Teradata, Redshift
- 5+ years with transactional databases (OLTP) Oracle, SQL Server, MySQL
- 5+ years with big data, Hadoop, Data Lake, Spark in a cloud environment(AWS)
- 5+ years with commercial ETL tools dbt, Matillion, and SSIS/ADF
- 5+ years delivering ETL solutions from source systems, databases, APIs, flat-files, JSON
- Experience developing Entity Relationship Diagrams with Erwin, SQLDBM, or equivalent
- Experience working with job scheduling and monitoring systems (Airflow, Datadog, AWS SNS)
- Experience building BI Dashboards with tools like Tableau
- Experience in the financial domain, accounts payable, accounts receivable, invoicing
- Experience managing work assignments using tools like Jira and Confluence
- Experience with Scrum/Agile methodologies is a plus.
- Ability to work independently and as part of a team
- Excellent analytical and problem solving skills
Job tags
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