AWS Data Engineer

OZ – Data Engineer

We believe work should be innately rewarding and a team-building venture. When we work with our teammates and our clients it should be an enjoyable journey where we can learn, grow as professionals, and achieve amazing results. Our core values revolve around this philosophy. We are relentlessly committed to helping our clients achieve their business goals, leapfrog competition, and become leaders in their industry. What drives us forward is the culture of creativity combined with a disciplined approach, passion for learning & innovating, and a ‘can do’ attitude!

What We're Looking For

You, as a Data Engineer, will use various methods to transform raw data into useful data systems. For example, you’ll create algorithms and conduct statistical analysis. Overall, you’ll strive for efficiency by aligning data systems with business goals.

To succeed in this data engineering position, you should have strong analytical skills and the ability to combine data from different sources. Data engineer skills also include familiarity with several programming languages and knowledge of learning machine methods.

Position Overview

As a data engineer, you should be passionate about technology and want to work with a mature, intensely skilled team, values total ownership of your work, and can’t imagine a day without coding, we want to speak to you! We're looking for a creative, focused, technically curious individual who enjoys both designs as well as working hands-on with the code.

As a Data Engineer, you will be working within a team to design and implement highly available data services and pipelines. This is an ideal job if you have proven experience as a technical professional and have already collaborated with teams to deliver production systems based on big data solutions.

Role Responsibilities

• Analyze and organize raw data
• Build data systems and pipelines
• Evaluate business needs and objectives
• Interpret trends and patterns
• Conduct complex data analysis and report on results
• Prepare data for prescriptive and predictive modeling
• Build algorithms and prototypes
• Combine raw information from different sources
• Explore ways to enhance data quality and reliability
• Identify opportunities for data acquisition
• Develop analytical tools and programs
• Collaborate with data scientists and architects on several projects

What You’re Looking For

If you’re looking for an opportunity to work in a fast-growing market, surrounded by talented, motivated, and global colleagues who thrive on helping clients meet their most pressing business goals, we are the company for you. If you’re driven, passionate, and want to be a ’key player’ in a company’s growth, we invite you to make a difference with a company that’s defined by its employees. We want you to be bold, take risks, and imagine a better way to work. We should talk if we just described you!

About Us

OZ is a 25-year-old global technology consulting, services, and solutions leader specializing in creating business-focused solutions for our clients by leveraging disruptive digital technologies and innovation.

OZ is committed to creating a continuum between work and life by allowing most of our team members to work remotely. We offer competitive compensation and a comprehensive benefits package including, but not limited to, full health benefits, 401K, and unlimited PTO. You’ll enjoy our workstyle within an incredible culture. We’ll give you the tools you need to succeed so you can grow and develop with us and become part of a team that lives by its core values.

Requirements

Basic Qualifications

• 5+ years of work experience with ETL, Data Modeling, and Data Architecture.
• Expert-level skills in writing and optimizing SQL.
• Experience with Big Data technologies such as Hadoop/Hive/Spark.
• Solid Linux skills.
• Experience operating very large data warehouses or data lakes
• Expertise in ETL optimization, designing, coding, and tuning big data processes using Apache Spark or similar technologies.
• Experience with building data pipelines and applications to stream and process datasets at low latencies.
• Show efficiency in handling data - tracking data lineage, ensuring data quality, and improving discoverability of data.
• Sound knowledge of distributed systems and data architecture (lambda)- design and implement batch and stream data processing pipelines and know how to optimize the distribution, partitioning, and MPP of high-level data structures.

Preferred Qualifications

• AWS Cloud
• Redshift
• S3
• AWS Lake Formation
• AWS Glue
• AWS QuickSight 
• API development (specifically to connect to SaaS solutions)
• Hadoop, Spark, Kafka, Linux scripting, etc.
• Experience with AWS/Azure cloud services and platforms
• Experience with Snowflake data platform
• Experience with Matillion, Databricks, or equivalent
• Experience with object-oriented/object function scripting languages: Python, Java, etc.