Lead Data Engineer

hace 10 horas


Heredia, Costa Rica Encora A tiempo completo

**Our company**:
Encora is a global Software and Digital Engineering company that helps business overcome the Software Engineering Talent shortage and provides next-gen services and such as Predictive Analysis, Artificial Intelligence & Machine Learning, IoT, Cloud, and Test Automation. We count with 16 global offices and 25 innovation labs.

Our Software Engineering experts work with leading-edge technology companies to improve their speed to impact.

**Essential duties and job responsibilities**:

- Create and maintain optimal data pipeline architecture
- 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 across the organization to assist with data-related technical issues and support their data infrastructure needs.
- 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.

**Requirements**:

- 7+ years of experience in a Data Engineer role.
- At least 1- 2 years leading teams.
- Azure Data Factory
- SQL Server
- PowerBI
- GraphQL (preferred)
- Postgres (must have)
- Azure EDW (must have)
- Tableau or AWS Quicksight (must have)
- Excel/Google Sheets
- Metabase (preferred)
- Redshift (preferred
- AWS DMS (preferred)
- 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.

**Nice to have**:

- Salesforce
- JavaScript
- Streaming/event-based tech experience: Kafka, AWS SQS, etc.
- Geospatial experience, such as PostGIS (for Postgres)

**Why you will love working with us**:

- 100% WFH and available workplace office space if preferred
- Private medical, dental and life insurance
- Additional vacations per work anniversaries
- Birthday day off
- 3 sick leaves paid per year
- Certification Reimbursement
- Substantial referral bonuses
- Welcome bonus
- A value-based culture where opportunities to learn are endless



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