Sr Data Engineer

Sacrum Technologies LLC
United States
8 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
8 years minimum
Working hours
Regular working hours
Languages
English
Job source

Tech stack

Sql Data Warehouse Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Amazon Elastic Compute Cloud Amazon S3 ARM Architecture Cloud Computing Cloud Database Computer Engineering Data Validation
+41 more
Data Cleansing Information Engineering Data Integration Extract Transform Load (ETL) Data Mart Data Transformation Data Warehousing Relational Databases Github Apache Hadoop Apache Hive Python (Programming Language) Meta-Data Management NoSQL Object-Oriented Software Development Scrum Methodology Cloud Services Standard Sql Scala (Programming Language) Amazon Simple Notification Service (SNS) SQL Databases Data Streaming Talend Scripting Freeform SQL Informatica Powercenter Snowflake Apache Spark Boomi Informatica Cloud Data Lakes Information Technology AWS Glue Google Bigquery Data Management Cloud Integration Functional Programming Amazon Simple Queue Service (SQS) Software Version Control Data Pipelines Amazon Redshift

Job description

The Sr Data Engineer/AI Engineer will be responsible for developing ETL and data pipelines using AWS, Snowflake, Snowflake Cortex AI, and DBT. The ideal candidate should be experienced in building data pipelines using ELT methodology, self-directed, and comfortable supporting the data needs of multiple teams, systems, and products., * Building the infrastructure required for optimal extraction, transformation, and loading of data from various sources using Cloud Integration ETL Tools, Cloud Data Warehouse, SQL, and AWS technologies.

  • Designing and developing ELT, ETL, event-driven data integration architecture solutions.
  • Collaborating with Data Analysts, Data Architects, BI Architects, Data Scientists, and Data Product Owners to understand source data and determine data transformation and integration requirements.
  • Troubleshooting and tuning complex SQL queries.
  • Utilizing On-Prem and Cloud-based ETL platforms, Cloud Data Warehouse, AWS, GitHub, scripting languages, SQL, querying tools, data quality tools, and metadata management tools.
  • Developing data validation processes to ensure data quality.
  • Working individually and collaboratively as part of a team.

Requirements

  • Bachelor’’'’s degree (or foreign equivalent) in Computer Science, Computer Engineering, or a related field.
  • 8+ years of experience in Data Engineering, ETL, data warehouse/data mart development, and data lake development.
  • Advanced working SQL knowledge and experience with relational databases.
  • Experience with Cloud Data Warehouses like Snowflake, Google BigQuery, Amazon Redshift.
  • Experience with AWS cloud services such as EC2, S3, Lambda, SQS, SNS, etc.
  • Experience with Cloud Integration Tools like Matillion, Dell Boomi, Informatica Cloud, Talend, AWS Glue.
  • Experience with GitHub and its integration with ETL tools for version control.
  • Experience with Informatica PowerCenter, scripting languages, SQL, querying tools.
  • Familiarity with modern data management tools and platforms including Spark, Hadoop/Hive, NoSQL, APIs, Streaming, and other analytic data platforms.
  • Experience with object-oriented/object function scripting languages like Python, Java, Scala, etc.
  • Experience with Agile/Scrum methodologies is valuable.

Other Knowledge, Skills, or Abilities Required

  • Must be fluent in English.
  • Ability to work with both business and IT stakeholders.
  • Strong written and oral communication skills.
  • Strong interpersonal skills.
  • Ability to work independently and as part of a team.
  • Highly motivated and a self-starter with strong problem-solving skills.
  • Ability to multitask and meet aggressive deadlines efficiently.
  • Extraordinary attention to detail and accuracy.

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