General Summary:
General Summary:
We are looking for a savvy Data Engineer expert to join our analytics team. The Candidate will be responsible for expanding and optimizing our data and data pipelines, as well as optimizing data flow and collection for cross functional teams. The ideal candidate has python development experience and is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems and building them from the ground up. We believe that candidate with solid Software Engineering/Development is a great fit. However, we also recognize that each candidate has a unique blend of skills. The Data Engineer will work with database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams.. The right candidate will be excited by the prospect of optimizing data to support our next generation of products and data initiatives.
Responsibilities for Data Engineer
· Create and maintain optimal data pipelines,
· 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 for greater scalability, etc.
· 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 Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
· Work with data and analytics experts to strive for greater functionality in our data systems.
· Performing ad hoc analysis and report QA testing.
· Follow Agile/SCRUM development methodologies within Analytics projects.
· 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, 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.
· Good communication skills, a great team player and someone who has the hunger to learn newer ways of problem solving.
· 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 on Unix or Shell scripting
· Constructing methods to test user acceptance and usage of data.
· Knowledge of predictive analytics tools and problem solving using statistical methods is a plus.
· Experience supporting and working with cross-functional teams in a dynamic environment.
· Demonstrated understanding of the Software Development Life Cycle
· Ability to work independently and with a team in a diverse, fast paced, and collaborative environment
· Excellent written and verbal communication skills
· A quick learner with the ability to handle development tasks with minimum or no supervision
· Ability to multitask
· We are looking for a candidate with 7+ years of experience in a Data Engineering role. They should also have experience using the following software/tools:
· Experience in Python, Java, etc.
· Experience with Google Cloud Platform.
· Experience with bigdata frameworks & tools - Apache Hadoop/Beam/Spark/Kafka.
· Exposure to workflow management & scheduling using Airflow/Prefect/Dagster
· Exposure to databases like (Big Query , Clickhouse).
· Experience to container orchestration (Kubernetes)
· Optional Experience on one or more BI tools (Tableau, Splunk or equivalent).
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Minimum Qualifications:
6+ years of IT-related work experience without a Bachelor’s degree.
• 2+ years of work experience with programming (e.g., Java, Python).
• 1+ year of work experience with SQL or NoSQL Databases.
• 1+ year of work experience with Data Structures and algorithms.
'Bachelor's degree and 7+ years Data Engineer/ Software Engineer (Data) Experience
Minimum Qualifications:
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