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Senior Engineering Manager - Global Data
Posted on 4/19/2022
INACTIVE
Locations
San Francisco, CA, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
Apache Spark
AWS
Data Analysis
Data Science
Google Cloud Platform
Hadoop
Kafka
Java
Microsoft Azure
MySQL
Redshift
Scala
Snowflake
SQL
Python
Requirements
  • 8+ years of experience as a Data Engineer or in a similar role (e.g., Software Engineer, Business Intelligence Engineer, Data Scientist) with a track record of manipulating, processing, and extracting value from large datasets
  • 8+ years of experience managing a DW or BI team and influencing the data strategy of your team or organization
  • 8+ years of experience with Snowflake/Redshift, AWS/GCP, Hadoop/Spark/Big data, SQL/MySQL, Lambda/KAPPA architectures, Flink/Airflow
  • 8+ year of designing and building streaming data ingestion, analysis and processing pipelines using Kafka, Kafka Streams, Spark Streaming, and similar cloud native technologies
  • 8+ year of designing, implementing large scale data pipelines for data curation, feature engineering and machine learning, using Spark in combination with pySpark, Java, Scala or Python; either on premise or on Cloud (AWS, or Azure)
  • 8+ year of designing and building streaming data ingestion, analysis and processing pipelines using Kafka, Kafka Streams, Spark Streaming and similar cloud native technologies
  • Experience with handling sensitive data and encryption methods
Responsibilities
  • Develop full SDLC project plans to implement ETL solution and identify resource requirements
  • Develop highly scalable ETL solutions in a demanding environment and manage multiple priorities and timelines
  • Drive the design, builFding, and launching of new data models and data pipelines in production
  • Integrates the established Software Development methodology into the daily practice of the team to ensure applications deliver the benefits and capabilities as defined by business requirements
  • Partnering with other leads (Data Architects, Business Analysis, Quality Assurance, and Infrastructure) for resource assignment, data modeling, technical design, development and solution deployment
  • Build cross-functional relationships with Data Scientists, Product Managers, and Software Engineers to understand data needs and deliver on those needs
  • Refine and align evolving requirements for data processing, data storage and data access to our existing data platform and tools
  • Manage build phase and quality assure code to ensure fulfilling requirements and adhering to ETL architecture
  • Provide support to Product Managers with project planning, resource assignment, technical design, development, and solution deployment
  • Identify, recommend, and implement ETL process and architecture improvements
  • Define and drive adoption of data platform ETL standards and best practices
  • Providing project related directions to the team
  • Resolve difficult design and develop issues
  • Responsible for hiring, training and skill development of engineers
Desired Qualifications
  • Expert at designing, implementing, and operating stable, scalable, low-cost solutions to flow data from production systems into the data lake and end-user facing applications
  • Expert with data, understands enterprise information systems, has a strong business sense, and can lead a team to put these skills into action
DocuSign

1,001-5,000 employees

Platform for electronic signatures & agreements
Company Overview
DocuSign is on a mission to accelerate business and simplify life for companies and people around the world. The company provides an e-signature technology that helps organizations connect and automate how they prepare, sign, act on, and manage agreements.
Benefits
  • Health benefits: Medical, dental, and vision
  • Life and disability benefits
  • Savings: Pre-tax parking plans, Health Savings Accounts, Health Care FSA, Dependent Care FSA
  • Wealth Generation: 401(k) or other retirement plans, Employee Stock Purchase Plan, Restricted Stock Units, Sales Commissions, Company Incentive Plan (CIP)