PURPOSE
We are looking for a savvy Data Engineer to join our growing team of analytics experts. The hire will be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced in ETL, ELT, Admiration and analysis of data platforms. The Data Engineer will support his/her peer software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products.
RESPONSIBILITIES
The following shall be some of the responsibilities of the Data Scientist Consultant;
- Be an active member of a growing team; help define and influence team culture & environment
- Work on a wide range of projects for the world’s top companies
- Work on solution-based, outcome-oriented projects with a highly skilled team
- Get the benefits of a consulting environment while remaining connected to a core team
- Build hands-on experience with the latest technologies and delivery methodologies
- Work in a fast-paced, agile project environment with small, focused teams
- Safety and health of others: You will ensure that your subordinates and workmates work in a safe environment and will not discriminate workers on the basis of their health status
Responsibility for ZIG Resources: You are responsible for safe keeping of the furniture and equipment and official documents in all offices of your department. You shall also be accountable for proper utilization of all company resources under your custody.
Consequence of Error: You will be held accountable, have responsibility for any mistakes/omissions made by your subordinates or arising from the performance of your job.
QUALIFICATIONS
- We are looking for a candidate with 5+ years of experience.
- Assemble large, complex data sets that meet functional / non-functional business requirements.
- Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
- Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
- Work with data and analytics experts to strive for greater functionality in our data systems.
- Has experience implementing Data OPS / Dev OPS in an organization.
- Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
- Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
- Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
- Strong analytic skills related to working with unstructured datasets.
- Build processes supporting data transformation, data structures, metadata, dependency and workload management.
- A successful history of manipulating, processing and extracting value from large disconnected datasets.
- Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
- Strong project management and organizational skills.
- Experience supporting and working with cross-functional teams in a dynamic environment.
SKILLS REQUIREMENTS
- A passionate, self-driven problem solver who loves taking on new challenges using the latest web, mobile and cloud technologies.
- Must love data and find themselves keeping up with the latest technology trends.
- Must be a thinker, explore and regularly read to stay in touch with the development community and be passionate about discovering ways to improve quality, reusability, extensibility and consistency.
- Must be multi-faceted with a great mix of technical and interpersonal skills, which enables you to succeed in highly collaborative and agile work environments.
- Must have keen analytical skills.
- Must be detail oriented.
- Must be honest and trustworthy in order to properly execute your duties
- Experience with big data tools: Hadoop, Spark, Kafka, etc.
- Experience with relational SQL and NoSQL databases, including SQL Server, Oracle, Postgres and Cassandra.
- Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
- Experience with AWS cloud services: EC2, EMR, RDS, Redshift
- Experience with stream-processing systems: Storm, Spark-Streaming, etc.
- Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.
THE ZIG – CULTURAL QUALITIES
- Ability to think critically and solve problems with well thought-out solutions
- Fluency with multiple programming environments and tools
- Familiarity with developing multi-platform software
- Display passion for delivering high quality products that meet customer’s needs
- Strong problem-solving skills with the ability to work cross-functionally in a fast-paced and rapidly changing work environment
- Displays a relentless commitment to win
- Displays personal & corporate integrity
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