Sr; Data Engineer


Website Application Development

Reference Code: 6032

Essential Duties & Responsibilities


·       Responsible for designing, building & managing the advanced analytics platform to support data science and the business intelligence teams with a mind toward accuracy, scalability, and high performance.

·       Work with the product owner and data stakeholders to understand the business requirements and implement optimal data solutions.

·       Architect, implement, and operate stable, scalable, and highly performant data pipelines that cleanse, structure, and integrate disparate big data sets into a readable and accessible format for end-user analyses and reporting.

·       Build & operate the centralized data repository on AWS technologies to optimize our data lifecycle and enable next-generation data analytics.

·       Provide architectural, functional, and process guidance on system capabilities and solution approaches.

·       Provide technical guidance and thought leadership to other members of the team.


Education & Experience


·       Bachelor’s Degree in Computer Science or equivalent experience.

·       Strong TSQL coding skills

·       Strong SSIS and reporting skills

·       5 years of hands-on experience with Data Warehousing design & implementation (preferably with a cloud-based warehouse (e.g., Redshift or Snowflake).

·       5 years of strong experience with SQL and ability to write efficient code for high volume data processing.

·       5 years of hands-on experience supporting high-performing ETL processes, including data quality and testing processes.

·       4 years of programming experience with an advanced language (C#, Python, Java, etc.).

·       3 years of hands-on experience implementing data lake solutions (preferably on AWS technologies).

·       3 years of hands-on experience with AWS Big Data technologies (Kinesis, EMR, AWS Glue, etc.) is a plus, but not required.

·       Experience with NoSQL technologies (DynamoDB, Redis, ElasticSearch, etc.).

·       Experience ensuring data quality across multiple datasets used for analytical purposes.

·       Experience with data visualization tools such as Tableau, QlikView, Power BI, etc.

·       Experience in agile development methodologies.

·       Knowledge of statistical concepts and their application in reporting and data mart applications.

·       Good communication (oral and written) and interpersonal skills.

·       Enthusiastic attention to detail.

·       Ability to acquire new skills quickly and thrive in a collaborative team environment.


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