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Data Engineer
Itility US San Diego, CA
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$109k-134k (estimate)
Full Time 3 Days Ago
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Itility US is Hiring a Data Engineer Near San Diego, CA

WHO WE ARE.
We believe in merging technology and data to drive our customers one step beyond. Itility digital consultants are experts in data, cloud, software, and IT infrastructure. Acting as the 'digital twin' of customers, we work shoulder-to-shoulder to exceed business goals and push the boundaries of what you thought was possible. We combine an agile way of working with proven methods and building blocks. This enables teams to act quickly and shape, deliver, and run innovative digital solutions. With a continuous focus on implementing your strategy and generating results.
ABOUT THE ROLE.
Are you adept at coding to capture data? Are you thrilled when you dig into various data sources and transform them into valuable, user-friendly information? Are your skills at the intersection of data and software? Is your day made when data flows flawlessly based on the carefully constructed code you've created? Then we have the perfect opportunity for you! For numerous enterprise clients, we develop data connectors to streamline data flow from multiple sources to analytics platforms, such as Splunk, Databricks, Hadoop, or others. One thing these systems share is that the data will be utilized in a production environment, which means it must flow consistently and monitored for any interruptions. Ensuring data validity and quality is also crucial.
WHAT YOU'LL DO.
  • Developing data connectors with Python or other programming languages.
  • Setting up data validation tests within the data pipeline.
  • Establishing monitoring and alert systems for data flow interruptions or corruption.
  • Leading incident resolution efforts to minimize impact on end users.
  • Teaming up to build, deploy, maintain, and optimize data ingestion and connectors for data flow to the data storage system.
  • Creating and managing distributed systems for data extraction, ingestion, and processing of large, diverse data sets.
  • Developing data products in stages, integrating and managing data from various sources.
  • Collaborating with software engineers and data scientists to design data sets for diverse applications, from proof-of-concept to production.
  • Partnering with Business Analysts for requirement collection, pipeline implementation decisions, data identification, and tooling selection.
  • Working with ETL/data services and application teams to support data solution development.
  • Collaborating with software engineers and data scientists to design data sets for diverse applications, from proof-of-concept to production.
QUALIFICATIONS.
  • Possess a bachelor's or master's degree.
  • Experience in creating data ingestion scripts.
  • Exhibit team spirit and good communication skills.
  • Good understanding of SQL and Python.
  • Experience with data platforms and data lakes in an enterprise setting is a plus.
  • Demonstrate a hands-on approach, strong customer focus, problem-solving skills, and quick results.
  • Prior experience with Linux is necessary.
  • Familiarity with continuous integration & delivery tools, e.g. Jira, Git, Jenkins, Bamboo.
  • 3 years' experience with analytics platforms and tools, such as Databricks, Snowflake, Teradata, Spark, Kafka.
  • 3 years' cloud experience and demonstrated proficiency working with AWS, GCP, and/or Azure Cloud DevOps Services is preferred.
  • Belief in scrum/agile work methodologies and software practices for professional data flow.
BENEFITS & TOTAL REWARDS .
  • 100% employer paid medical, dental and vision insurance
  • 401k with up to 4% employer match
  • Paid vacation and sick time
  • Paid company holidays
  • HAS Accounts
  • Flexible Spending Accounts
  • Life Insurance
  • Professional Training and Development Programs

Job Summary

JOB TYPE

Full Time

SALARY

$109k-134k (estimate)

POST DATE

04/24/2024

EXPIRATION DATE

05/11/2024

WEBSITE

us-itility.com

HEADQUARTERS

Milpitas, CA

SIZE

<25

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The following is the career advancement route for Data Engineer positions, which can be used as a reference in future career path planning. As a Data Engineer, it can be promoted into senior positions as a Database Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Data Engineer. You can explore the career advancement for a Data Engineer below and select your interested title to get hiring information.

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If you are interested in becoming a Data Engineer, you need to understand the job requirements and the detailed related responsibilities. Of course, a good educational background and an applicable major will also help in job hunting. Below are some tips on how to become a Data Engineer for your reference.

Step 1: Understand the job description and responsibilities of an Accountant.

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The data engineer develops and maintains the enterprise data framework for continued use.

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A data engineer prepares data for analytical or operational uses.

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Data Engineers are the technical professionals who prepare data that can be used by data scientists for valuable decisions and strategies.

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Step 2: Knowing the best tips for becoming an Accountant can help you explore the needs of the position and prepare for the job-related knowledge well ahead of time.

Career tips from people on Data Engineer jobs

Changing oil, running basic checks, topping off fluids and checking tire pressure are common job duties.

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Oil changes are an essential component of preventative maintenance.

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A data engineer should be aligned with a data scientist’s needs while creating a data system.

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Start with an entry-level position.

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Consider pursuing additional professional engineering or big data certifications.

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Step 3: View the best colleges and universities for Data Engineer.

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