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Data Integration Engineer

4 months ago

Cypress, United States OrangePeople Full time

We are looking for our next extraordinary Data Engineer to level up the Enterprise Information Management Team. The Data Engineer is a hybrid business-technical role within the Enterprise Information Management organization responsible for partnering with business and technical stakeholders to plan the delivery of data solutions including design, development, enhancement to ELT/ETL processes and components of data pipelines to support analysis, reporting, analytics, and data science. The role will focus on having a mindset of data quality, governance, and pipeline performance to ensure data integrity and information usability for internal decision-making.

Do not wait to apply after reading this description a high application volume is expected for this opportunity.

If you're a hands-on professional in data architecture, data engineering, traditional and/or modern data warehousing, ELT/ETL, and/or big data pipeline and processing, you're exactly who we're seeking. Technical capabilities aside, if you're a self-starter with excellent problem-solving skills, enjoy developing creative solutions, thrive in a fast-paced environment, and deliver work effectively both independently and as part of a team, you're a perfect fit for our team.

Requirements:
Partner with appropriate stakeholders to consult and recommend requirements to design, develop, test, and update data integration (this includes but is not limited to ELT/ETL processes/pipelines, stored procedures, views, and functions), and data profiling processes.
Create, validate, and/or update source-to-target maps, assist with logical and physical model design, and update and maintain metadata repositories/dictionaries.
Plan and support identification of physical implementation requirements, including normalization/dimensional techniques and referential integrity.
Partner with stakeholders to lead code reviews, data model reviews, and testing.
Collaborate with IT partners to perform periodic system and database operational tests, audits, and tuning.
Lead the collaboration with analysts, data scientists, and business teams to recommend and improve data models that feed business intelligence tools, increasing data accessibility, and fostering data-driven decision-making across the organization.
Proactively provide and contribute by leading the efforts to define areas of opportunities to catalog, maintain, and enforce data architecture, definitions, and standards.
Provide recommendations for data policy, standards, and procedure development processes.
Focus on data quality-detect data/analytics quality issues all the way down to the root cause, and implement fixes including data audits to prevent/capture such issues.
Ensure high data quality and availability by partnering with stakeholders from the infrastructure, network, database, application, and business intelligence teams to identify the lifecycle of data to consult/recommend process changes to implement.

Qualifications:
Bachelor's Degree or higher in Computer Science, Information Management, Engineering, or a related field.
5+ years demonstrated strength in ELT/ETL, data services, data pipelines, data modeling (OLTP, 3/NF, dimensional), data lake, cloud warehouse technical architecture, infrastructure components, and reporting/analytic tools.
5+ years of development with ETL tools (Talend/Stitch, Informatica, Fivetran, Matillion, or similar) including distributed architectures (Microservices, SOA, and RESTful APIs).
3+ years of development with scripting languages Python, R, C#.NET, Java, or JavaScript.
3+ years of AWS services such as Redshift, Aurora, Dynamo, Glue, S3, EMR, Lambda, Kinesis, and SNS/SQS.
Experienced with development and modeling for columnar storage and massively parallel processing data warehouses (Hadoop, Snowflake, Redshift) with a keen sense to optimize for scalability, availability, security, cost, and performance.
Experienced with big data processing technologies (Spark, Storm, Kafka, Flume, Pig, Hive, Sqoop, Hadoop/MapReduce, etc.).
Experienced with automation frameworks/tools (Git/Bit, CI/CD, Jenkins, Ansible, and Terraform, etc.).
A product-focused mindset with the ability to understand business requirements to architect systems that will scale and extend to accommodate those needs.
Ability to work through a problem logically, identify root causes, and provide practical effective solutions while being detail and process-oriented.
Excellent written, visual, and oral communication skills, ability to communicate with key business and/or technical partners clearly and succinctly.
Proven ability to inspire confidence, create executive presentations, effectively present information, and guide strategic discussions.
A self-starter who can work without continuous supervision and is highly organized.

Benefits:
401(k).
Dental Insurance.
Health insurance.
Vision insurance.
We are an equal-opportunity employer and value diversity, equality, inclusion, and respect for people.
The salary will be determined based on several factors including, but not limited to, location, relevant education, qualifications, experience, technical skills, and business needs.

Additional Responsibilities:
Participate in OrangePeople monthly team meetings, and participate in team-building efforts.
Contribute to OrangePeople technical discussions, peer reviews, etc.
Contribute content and collaborate via the OP-Wiki/Knowledge Base.
Provide status reports to OP Account Management as requested.

About us:
OrangePeople is an Enterprise Architecture and Project Management solutions company. Our most valuable asset is our people: dynamic, creative thinkers, who are passionate about doing quality work. As a member of the OrangePeople team, you will have access to industry-leading consulting practices, strategies & and technologies, innovative training & and education. An ideal Orange Person is a technology leader with a proven track record of technical achievements and a strong process/methodology orientation.