Senior AWS Data Engineer

Senior Data Engineer

Essential Duties and Responsibilities

• Develop, deploy, and support real-time, automated, scalable data streams from a variety of sources into the

  data lake or data warehouse.

• Develop and implement data auditing strategies and processes to ensure data quality; identify and resolve problems associated with large-scale data processing workflows; implement technical solutions to maintain

  data pipeline

  processes and troubleshoot failures.
• Collaborate with technology teams and partners to specify data requirements and provide access to data.
• Tune application and query performance using profiling tools and

  SQL

  or other relevant query languages.
• Understand business, operations, and analytics requirements for data
• Build data expertise and own data quality for assigned areas of ownership
• Work with data infrastructure to triage issues and drive to resolution

Required Qualifications

• Bachelors degree in data science, Data Analytics, Information Management, Computer Science, Information Technology, related field, or equivalent professional experience
• Overall experience should be more than 7 + years
• 3+ years of experience working with

  SQL

• 3+ years of experience in implementing modern data architecture-based data warehouses
• 2+ years of experience working with

  data

  warehouses

  such

  as

  Redshift,

  BigQuery,

  or Snowflake

  and understanding

  data architecture design

• Excellent software engineering and

  scripting

  knowledge
• Strong communication skills (both in presentation and comprehension) along with the aptitude for thought leadership in data management and analytics
• Expertise with data systems working with massive data sets from various data sources
• Ability to lead a team of Data Engineers

Preferred Qualifications

• Experience working with time series databases
• Advanced knowledge of

  SQL

  , including the ability to write stored procedures, triggers, analytic/windowing functions, and tuning.
• Advanced knowledge of Snowflake, including the ability to write and orchestrate streams and tasks
• Background in Big Data, non-relational databases, Machine Learning and Data Mining
• Experience with cloud-based technologies including

  SNS

  ,

  SQS

  ,

  SES

  ,

  S3

  ,

  Lambda

  , and

  Glue

• Experience with modern data platforms like

  Redshift

  ,

  Cassandra

  ,

  DynamoDB

  ,

  Apache

  Airflow

  ,

  Spark

  , or

  ElasticSearch

• Expertise in

  Data

  Quality

  and

  Data

  Governance

Our Core Values

• Data Fanatics: Our edge is always found in the data
• Partner Obsessed: We are obsessed with partner success
• Team of Doers: We have a bias for action
• Game Changers: We encourage innovation