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Data Engineer

75% Flex

Remote:

Full Remote

Contract:

Full time

Experience:

Mid-level (2-5 years)

Work from:

California (USA), Maryland (USA)

Offer summary

Qualifications:

3+ years experience in data engineering, Expertise in MS SQL Server, Proficiency with ETL processes and tools, Familiarity with Azure Data Factory and Python, Knowledge of Microsoft Azure products.

Key responsabilities:

Build and optimize ETL pipelines
Ensure quality and performance of data processes
Mentor team members and advocate for best practices
Communicate effectively with cross-functional teams
Participate in architectural design of data systems

Conexess Group Information Technology & Services SME https://www.conexess.com/

51 - 200 Employees

See more Conexess Group offers

Job description

Your missions

Data Engineer

Remote | Product and Development | Full-Time
Conexess Group is aiding a large financial client in their search for a senior Data Engineer. This is an immediate, full time job opening and we are only able to accept candidates that are eligible to work on W2. This is an individual contributor role, working closely with other data team members to complete the building out of ETL pipelines and Operational Data Store (ODS). Your day-to-day tasks will include extracting data from company applications, transforming it according to business logic, and efficiently loading it into our Operational Data Store (ODS). You will work with members from the cross-functional team to help them with the consumption of the data. You will be expected to use your expertise to optimize the process for performance and accuracy. Your commitment to continuous improvement will drive enhancements in our data architecture and ensure that our data system can scale.
Daily Responsibilities

Contribute to building out ETL pipeline to include data from all company products
Write performant and maintainable code
Ensure the quality of ETL process
Communicate well with other members of the data team and across the functional area
Advocate for best practices and continuous improvement
Participate in architecting and building a scalable data system
Mentor team members on their area of expertise

Required Skills:

3+ Years of experience as Data Engineer designing and implementing data warehouse and data lake solutions on Microsoft Azure.
Experience with Azure Data Factory is required
Azure Data Lake is a plus
Exposure to Microsoft Fabric is a plus
Very strong background in MS SQL Server is required
Expertise in data architecture using different database types and data formats

Expertise in building data pipelines to clean, enrich, and transform data
Experience with Python is a plus and highly desirable
Expertise in database design and tuning techniques
Strong understanding of ETL process and tooling
Experience with version control systems (Azure DevOps, Git)
Familiar with CI/CD concept

Preferred Skills:

Experience working in horizontally scaling systems
Exposure to Azure SQL/warehouse/data lake products such as Azure SQL, Synapse, Databricks, ADLS
Exposure to Microsoft Fabric is a plus
Experience with other cloud data stacks (Google, AWS) is a plus
Familiarity with message/event driven architecture patterns and distributed systems architecture
Familiarity with systems integration
An automation mindset

Expectations:

Intentional mentorship: We are dedicated to teaching and growing talent and expects everyone to help those less experienced.
Honesty: Whether reviewing someone's code, participating in retrospectives, or working with your team on what direction to take a project we expect openness and honesty. Honesty creates trust, and we believe that all great teams are built on trust.
Low Ego: Have confidence in your skills and experience but be willing to alter your opinions and ideas when another, better one comes along. Have strong opinions, but loosely held.

Deep Curiosity: You will be expected to research new and exciting technologies, perfect the use of existing technologies, and Client new libraries and tools that can affect change across the organization.
Motivation: You are a natural self-starter, and you enjoy solving problems. You can solve the problem with minimal instruction and figuring out what should be done.

Benefits Information:

A fun, fast-paced work environment
Responsible PTO Plan that meets or exceeds state and local medical and family leave laws
11 paid holidays
Community and social events to keep you connected and engaged
Mental Health Benefits
Medical, Dental and Vision insurance
Company-paid Group Life Insurance, Short- and Long-Term Disability
Flexible Spending Account & Health Savings Account
Aflac Benefits – Critical Illness, Cancer Protection, & Hospital Choice
Pet Insurance
401 (k) with company match with eligibility on Day 1 of employment
2 Paid Volunteer Time Off Days
And much more!
#LI-JB1

Required profile

Experience

Level of experience: Mid-level (2-5 years)

Industry :

Information Technology & Services

Spoken language(s):

English

Check out the description to know which languages are mandatory.

Hard Skills

Azure Azure Synapse Cloud Databases Data Lake Data Warehouses ETL Development Scaling Azure Data Factory Microsoft SQL Server Data Architecture Python Database Schema Design CI/CD Event-Driven Architecture Azure DevOps Git Azure SQL Databricks

Soft Skills

Honesty
Excellent Communication
Mentorship
Curiosity
Motivation

Are you interested?

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