Data Engineer at Tek Experts

Job Description

• We’re seeking a diligent engineer to connect and model complex distributed data sets to build repositories like data warehouses and data lakes.
• You’ll leverage your expertise in machine learning, data mining, and information retrieval to design, prototype, and build next-generation engines and services.
• This will be a challenging but rewarding role that requires effective communication and collaboration as well as a keen attention to detail and the ability to learn and adapt to emerging technologies.

Responsibilities

• Define the data lifecycle, including data models and data sources for analytics platforms.
• Create and maintain an optimal data pipeline and architecture.
• Build analytics tools and conduct advanced statistical analysis to provide actionable insights, identify trends, and measure performance.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, and more.
• 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.
• Perform aggregations on data across various warehousing models.
• 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 data secure and work closely with database teams on topics related to data requirements, cleanliness, accuracy, and others.

Qualifications

• Bachelor's or equivalent Degree in Computer Science or another related field.
• 3 - 5 years of direct experience in a statistical and/or data science role.
• Experience working with large data sets, simulation/ optimization, and distributed computing tools.
• Hands-on knowledge of data extraction and transformation tools - traditional ETL tools (Informatica, Alteryx) as well as the latest big data tools.
• Experience working with large datasets, relational databases (SQL), and distributed systems (Hadoop, Hive)
• Extensive experience with R and/or SAS.
• Knowledge of other statistical software like SPSS, RapidMiner, and others is a plus.
• Knowledge of data architecture and experience defining data retention policies, monitoring performance, and advising any necessary infrastructure changes.
• Comfortability with developing dashboards (Tableau, Power Bi, Qlik, etc.) and data analytics models (R, Python, Spark)
• Strong analytical, communication, and problem-solving skills.
• Professional fluency in English is vital, both written and spoke.