Informatica/PL SQL/ETL

Overview

Hybrid
Depends on Experience
Accepts corp to corp applications
Contract - W2
Contract - Independent

Skills

deploys ELT/ETL processes across multiple sources
PLSQL
SQL

Job Details

Job Title: Data Engineer

100% Hybrid: Onsite cadence Tuesday-Thursday. Can work from home Friday and Monday.

Expenses allowed: no

equipment to be provided

Job Summary:

Data Engineers work collaboratively with architects, business intelligence developers, data analysts and data scientists to build and maintain analytic solutions utilizing both traditional on-premises and cloud-based platforms. The Data Engineer mid-level is a data pipeline builder contributing to the development and maintenance of data assets.

Essential Functions:

  • Under minimal supervision, develops, tests and deploys ELT/ETL processes across multiple sources, targets and tools.

  • Provides support and recommendations to associate engineers to enhance their technical skills. Collaborates with data consumers of varying skill levels on available data sources and potential biases within datasets.

  • Provides operational and ad-hoc support for systems and applications troubleshooting and maintenance for incidents related to data warehouses, datasets and data pipelines.

  • Assists in data model design under the guidance of more experienced team members. Builds data models, using a variety of sources and target systems, growing a better understanding of enterprise architectural standards and designs.

  • Adheres to the team s application of best practices and organizational standards of the Software Development Lifecycle to ensure high quality and reliable data assets. Follows the organizational standards and laws governing use of sensitive data relating to Protected Health Information (PHI) and Personally Identifiable Information (PII).

  • Learns Continuous Integration and Continuous Development (CI/CD) principles and best practices.

  • Participates in enterprise-wide Agile ceremonies determining and recommending technical programming approaches and solutions to complex applications. Works with more experienced team members to capture, document and groom features and stories for planning and execution.

  • Actively pursues opportunities to grow their business acumen and skills from more experienced team members. Provides coaching to less experienced team members.

  • Actively participates in the Data Engineering Community of Practice contributing to discussions and special initiatives.

Qualifications:

  • Required Bachelor's Degree or equivalent in computer science, application programming, software development,
    information systems, database administration, mathematics,
    engineering, or relevant experience in related field

  • 2 years of relevant experience 2 to 5 years in related field Required

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