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Credera - Senior Data Engineer - Big Data Tools
3 months ago
Job Description :
As a Senior Data Engineer, you will be working as an individual contributor in implementing modern data architecture, data engineering pipelines, and advanced analytical solutions. Our projects range from implementing enterprise data lakes and data warehouses using best practices for on-prem and cloud solutions, building visualizations and dashboards, unifying data for a single view of the customer, or predicting next-best outcomes with advanced analytics.
You will act as a Senior Data Engineer on projects to scope and estimate work streams, architect and model technical solutions to meet business requirements, serve as a technical expert in client communications. On a typical day, you might expect to participate in design sessions, build data structures for an enterprise data lake or statistical models for a machine learning algorithm and manage technical backlogs and release management tools.
Who you are :
- You have a minimum of 5+ years of technical, hands-on experience building, optimizing, and implementing data pipelines and architecture
- Hands-on experience to wrangle, explore, and analyze data to answer specific business questions and identify opportunities for improvement
- You are a highly driven professional and enjoy serving in a fast-paced, dynamic role where delivering solutions to exceed high expectations is a measure of success
- You have a passion for providing both formal and informal mentorship
- You have strong communication and interpersonal skills
- You have a deep understanding of data governance and data privacy best practices
The ideal candidate will have technical knowledge of the following :
- Big data tools (e.g. Hadoop, Spark, Kafka, etc.)
- Relational SQL and NoSQL databases (e.g. Postgres, MySQL, SQL Server, Cassandra, MongoDB, etc.)
- Data pipeline and workflow management tools (e.g. Azkaban, Oozie, Luigi, Airflow, etc.)
- Stream-processing systems (e.g. Storm, Spark-Streaming, etc.)
- Scripting languages (e.g. Python, Java, C++, Scala, etc.)
- Container Orchestration (e.g. Kubernetes, Docker, etc.)
Experience with one or more of the following cloud service providers :
- AWS cloud services
- Azure cloud services
Who we are :
Credera has received a number of state and national awards
Our data capabilities help our clients gain competitive advantage by transforming raw data into insights that enable actionable decision making. Our business-driven approach to envisioning and implementing innovative solutions helps organizations tackle their market, increase customer engagement and grow revenue profitably via advanced technology. Our data capabilities serve our clients across a broad spectrum of areas, specializing in Data Strategy, Modern Data Architecture, Data Visualisation, Business Insights, Data Analytics and Artificial Intelligence
How we work :
- We work in small (typically 2-8 person) project teams that collaborate closely with clients to solve their toughest challenges
- We employ principles of agile development to achieve high velocity and quality of delivery
- We offer several channels for collaboration that make it easy to reach out to leaders within the practice
- We adhere to Credera's core values of integrity, excellence, professionalism, and humility at all times
Basic Qualifications :
- Thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success
- Contribute in a team-oriented environment
- Prioritize multiple tasks in order to consistently meet deadlines
- Creatively solve problems in an analytical environment
- Adapt to new environments, people, technologies and processes
- Excel in leadership, communication, and interpersonal skills
- Establish strong work relationships with clients and team members
- Generate ideas and understand different points of view
