Senior Data Engineer

Posted 13 Days Ago
Hiring Remotely in USA
Remote
Senior level
Information Technology • Analytics
The Role
The Senior Data Engineer will implement and maintain a big data platform, optimize MySQL procedures, develop complex ETL processes, troubleshoot Hadoop clusters, and lead data pipeline development. Strong interpersonal skills are essential for problem resolution and team collaboration.
Summary Generated by Built In

Enformion is a dynamic and innovative data and analytics company that assists digital marketplaces in fraud prevention, risk management, seamless user onboarding, and fostering trust between shoppers and merchants. Our AI-powered solutions leverage extensive data intelligence and advanced behavioral analysis, enabling continuous monitoring for emerging risk indicators.


Job Title:

Senior Data Engineer

Who We Want:

Do you live for working on challenging Big Data problems at a massive scale? Are you the type that intimately knows the ins and outs of Big data development with the expert knowledge and experience to push your hardware to the limits? If yes, then we want you.

We are looking for a Senior Data Engineer to help our engineering team build a modern data processing platform using Spark, EMR and other relational and noSQL databases. We are investing resources into setting up a more flexible and scalable data infrastructure to support the addition of new data sets and improve overall data quality. An ideal candidate will be excited to be in a small size company with a startup mindset that moves quickly on a constant flow of ideas, is able to weed through the maze of Big data tools and potential approaches to find the best possible solution and architecture.

Salary: $110K - $125K

Responsibilities:

  • Implement and maintain big data platform and infrastructure
  • Develop, optimize and tune MySQL stored procedures, scripts, and indexes
  • Develop Hive schemas and scripts, Spark Jobs using pyspark and Scala and UDFs in Java
  • Design, develop and maintain automated, complex, and efficient ETL processes to do batch records-matching of multiple large-scale datasets, including supporting documentation
  • Develop and maintains pipelines using Airflow or any other tools to monitor, debug, and analyze data pipelines
  • Troubleshoot Hadoop cluster and query issues, evaluate query plans, and optimize schemas and queries
  • Strong interpersonal skills to resolve problems in a professional manner, lead working groups, and negotiate consensus

Qualifications & Skills:

  • BS, MS, or PhD in Computer Science or related field
  • 5+ years minimum experience in language such as Java, Scala, PySpark, Perl, Shell Scripting and Python
  • Working knowledge of the Hadoop ecosystem applications (MapReduce, YARN, Pig, Hbase, Hive, Spark and more!)
  • Strong Experience working with data pipelines in multi-terabyte data warehouses. Experience in dealing with performance and scalability issues
  • Strong SQL (MySQL, Hive, etc.) and No-SQL (MongoDB, Hbase, etc.) skills, including writing complex queries and performance tuning
  • Knowledge of data modeling, partitioning, indexing, and architectural database design.
  • Experience using Source Code and Version Control systems like GIT etc.
  • Experience on continuous build and test process using tools such as GitLab, SBT, Postman, etc.
  • Experience with Search Engines, Name/Address Matching, or Linux text processing

Preferred:

  • Knowledge of cluster configuration, Hadoop administration and performance tuning are a huge plus.
  • Distributed computing principles and experience in big data technologies including performance tuning
  • Machine Learning

Benefits:

  • Flexible PTO
  • 6% 401K match
  • 100% of the cost paid for the employee for medical, dental and vision
  • 75% of the cost paid for dependents for medical, dental and vision

Top Skills

Java
Perl
Pyspark
Python
Scala
Shell Scripting
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The Company
66 Employees
On-site Workplace
Year Founded: 2000

What We Do

Founded by industry pioneers and experts in data technology and advanced analytics, Enformion has curated an award-winning data repository of over 6,000 sources and an astonishing 120 billion records available via a cloud-based platform, API, and batch processing.

Using state-of-the-art artificial intelligence (AI) and machine learning (ML), Enformion provides an unparalleled and comprehensive view of people, businesses, assets, and their interrelationships. Our family of solutions empowers businesses throughout the United States to make informed decisions that maximize knowledge, improve efficiencies, and better serve the needs of their clients.
Using state-of-the-art artificial intelligence (AI) and machine learning (ML), we provide an unparalleled and comprehensive view of people, businesses, assets, and their interrelationships. Our family of solutions empower businesses throughout the United States to make informed decisions that maximize knowledge, improve efficiencies, and better serve the needs of their clients.

Our Values
Partnering for Success: Our goal is to build lasting relationships with our clients and partners with a single driving force and common purpose – that their continued success is Enformion’s success.

Quality You Can Trust: We offer best-in-class data, analytics, and applications that are customized to each customer’s specific workflow. Built on next-generation technology, with a focus on AI and ML, our data solutions allow businesses to make informed decisions with confidence.

Who We Serve
Enformion’s data provides actionable intelligence for Financial Services, Retail, Accounts Receivable, Legal, and Government Agencies, including:
•Identity Verification
•Fraud and Risk Mitigation
•Collections and Investigations

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