Sr. Data Engineering Manager - Hadoop/BigData, SQL, Spark, AWS at Mavensoft Technologies - Portland, OR

Role: Sr. Data Engineering Manager - Hadoop/BigData, SQL, Spark, AWS

Duration: 12 Months

Location: Beaverton, OR (On-Site Preferred, Remote Ok)

Key Skills: Hadoop/BigData, Spark, SQL, Python, CI/CD, NoSQL, RESYFul, Kafka, AWS, RDBMS/Snowflake, Airflow, Data Lake

Requirements:

Bachelor/Master degree in Computer Science or related technical subject area or equivalent combination of education and experience
4+ years relevant work experience in the Data Engineering field
Experience building scalable, real-time and high-performance cloud data lake solutions
2+ years experience working with Hadoop and Big Data processing frameworks (Spark, Hive, Nifi, Spark-Streaming, Flink, etc.)
Strong experience with relational SQL and programming languages such as Python, Scala, or Java
Experience with source control tools such as GitHub and related CI/CD processes
Experience working with Big Data streaming services such as Kinesis, Kafka, etc.
Experience working with NoSQL data stores such as HBase, DynamoDB, etc.
Experience provisioning RESTful API's to enable real-time data consumption
Experience working in AWS environment primarily EMR, S3, Kinesis, Redshift, Athena, etc.
Experience with data warehouses/RDBMS like Snowflake & Teradata
Experience with workflow scheduling tools like Airflow
Strong understanding of algorithms, data structures, data architecture, and technical designs.
Has a strong problem solving and analytical approach
Proven ability to influence and communicate effectively with team members and business partners
Proven track record to partner with teams in solving complex problems by taking a broad perspective to identify innovative solutions

Who Are We Looking For:

We are looking for an experienced Data Engineering Manager to lead and manage a team of data engineers and analysts working on building scalable data and analytics solutions.
This person will participate in architecture and design discussions, own end-to-end solution delivery, stakeholder management, partner with platform engineering, collaborate with other engineering teams, and will guide and mentor data engineers.
The ideal candidate will have outstanding communication skills, proven data design and implementation capabilities, strong business acumen, and an innate drive to deliver results.
The person in this role will be technically proficient and excel at collaborating with engineers, analysts, and stakeholders.
He/she will be a self-starter, comfortable with ambiguity, and will enjoy working in a fast-paced dynamic environment.

What Will You Work On:

In this role, you will manage an engineering team focused on building and delivering scalable data and analytics solutions in Client's Direct, Supply Chain, and Commercial space.

The team will design, implement and integrate new technologies and evolve data and analytics products.
You will be contributing to all aspects of data engineering from ingestion, transformation, and consumption in addition to designing and building test-driven development, reusable frameworks, automated workflows, and libraries at scale to support analytics products.
You will also participate in architecture and design discussions to process and store high-volume data sets.

Who Will You Work With:

This role is part of the North America Data & Analytics Organization and you will work with world-class talent in the field of Data Engineering with a goal of better business insights and driving data-driven decisions across the organization.
You'll be working closely with Internal stakeholders, Product Owners, Engineering Leaders, Data Analysts, Big Data Leads, and Engineers.
One of Client's maxims is "Win as a Team" and you will be working in a very collaborative environment and will find success in teamwork, a positive attitude, and hard work.

Sr. Data Engineering Manager - Hadoop/BigData, SQL, Spark, AWS