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What is JavaScript?

JavaScript is like the magic behind making websites interactive. Basically, it makes Epicareer more enjoyable and engaging.
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Find tutorial for your browser below :
  1. Make sure the webpage is open.
  2. In the Safari app on your Mac, choose Safari > Preferences, then click Security.
  3. Make sure the Enable JavaScript checkbox is selected.
  4. Click Websites.
  5. On the left, click Content Blockers.
  6. Make sure Off is chosen in the pop-up menu next to the website.
  7. On the left, click Pop-up Windows.
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  2. Click. then Settings.
  3. Click Privacy and Security.
  4. Click Site settings.
  5. Click JavaScript.
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  1. If you're running Windows OS, in the Firefox window, click Tools > Options.
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  1. Click the "Settings and more" icon at the top right of the Edge browser window.
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  4. Scroll down and click on JavaScript.
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  1. Go to Settings.
  2. Click Advanced in the left sidebar, and click Privacy & security.
  3. Under Privacy and security, click Site settings.
  4. Click JavaScript.
  5. At the top, turn on or off Allowed (recommended).
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Jobs or company...
C

Lead Data Engineer / Software Engineer (W2 Only) - 100% Remote - Consumer Finance

Salary undisclosed
Checking job availability...
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Lead Data Engineer / Software Engineer (Consumer Finance) -- 12+ Months

Location: 100% Remote

Type: W2 Only

Company Overview:

Join the dynamic team as a Lead Data Engineer / Software Engineer within leading financial institution. Our goal is to enhance client experience through innovative technology solutions and effective data-driven strategies.

Role Overview:

The Lead Data Engineer / Software Engineer will be playing a pivotal role in data engineering, API development, and related technologies. This position requires a strong foundation in software engineering, particularly within consumer finance and contact center solutions, alongside exceptional communication skills.

Key Responsibilities:

  • Collaborate with cross-functional teams and communicate effectively with organizational stakeholders to drive projects forward.
  • Establish credibility as an engineering leader to encourage collaboration with architects and principal engineers for technical innovation and process improvement.
  • Design, create, and manage cloud infrastructure using AWS.
  • Develop and implement data ingestion and processing pipelines using Big Data technologies, ensuring seamless integration from various data sources (e.g., RDBMS, APIs, flat files).
  • Ensure data integrity and quality by developing automated data validation checks.
  • Execute data processing and transformation using technologies such as Spark and Cloud Services, implementing business logic in supported languages.
  • Develop scalable frameworks for data collection, transformation, and distribution to support omni-channel customer communications.
  • Identify process improvement opportunities to optimize data collection, insights, and display.
  • Identify trends and patterns in complex data sets and develop frameworks using data visualization tools to present analytical and actionable results to stakeholders.
  • Utilize data visualization tools to present consolidated, actionable insights to stakeholders.
  • Mentor junior team members and promote best industry practices.

Qualifications:

  • 5-7+ years of experience as a Data Engineer in consumer finance or a similar industry.
  • Strong educational background in math, statistics, computer science, or data science.
  • Expertise in programming languages such as Snowflake, Java, Scala, Python, or C#.
  • Hands-on experience with technologies like HDFS, YARN, Hive, Spark, Kafka, Oozie/Airflow, and AWS.
  • Proficiency in data mining/programming tools (e.g., SQL, SAS, R) and database technologies (e.g., PostgreSQL, Redshift).
  • Excellent organizational skills and ability to manage multiple projects simultaneously.
  • Strong written and verbal communication skills, with the ability to convey technical information to non-technical audiences.
  • AWS certification and experience with CI/CD tools (e.g., Jenkins, GitLab) are advantageous.

Preferred Qualifications:

  • Experience with Spark Streaming, Kafka Streaming/Kafka Connect, ELK Stack, Cassandra/MongoDB, and CI/CD tools such as Jenkins, GitLab, Jira, and Confluence.
  • Direct experience with AWS services: VPC, S3, CloudFront, EC2, Lambda, API Gateway, SNS, SQS, Kinesis, Active MQ, Step Functions, Elastic/Open Search.
  • Advanced degree in Computer Science or Information Systems.
  • Prior experience in financial services and cloud-based solutions.

Application Process:

Interested candidates with strong communication skills and a passion for technological innovation are encouraged to apply. Join to drive customer-centric strategies, increase automation, and leverage data analytics for enhanced customer experiences across marketing & servicing platforms.

To Apply: Submit your resume, and a brief summary of your experience with Data Engineering projects. Highlight your ability to deliver under tight deadlines.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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