Position Details:

• Enterprise Business Technology Office is looking for a Data Engineer Senior who enjoys data and building data platforms.
• Our ideal candidate is passionate about data management and partners closely with various stakeholders to influence decisions with data in making key business decisions in a timely manner.
• You will be part of a group that supports a variety of internal customers.
• You will analyze, design, and develop data storage and data analytic solutions using data lake patterns, that help our customers run more effective operations and make better business decisions.

• We build various data governance solutions which run as cohesive unit within the overall data platform strategy.
• We bring pioneering technology to bear on business challenges to delight and excite our customers.
• We collaborate with other IT teams to advance our technical capabilities.
• We live to automate and optimize processes and technologies.

• As a Senior Data Engineer, you are expected to work under limited direction and independently determine and develop approaches to solution. Understand requirements and design for the build and deployment.
• Scrum/agile based development and maintain efficient data pipelines and ETL process for large-scale data integration.
• Collaborate with data analysts and other engineer to define data needs and build solution that drive business insights.
• Develop, test, and deploy code for data extraction, transformation and loading processes (ETL/ELT).
• Develop and maintain automated test scripts using Pytest to ensure high-quality software releases.
• You will be a mentor and bring up-to-speed junior resources and consultants on technologies/products that the team works on and Represent and Demonstrate your team’s work to customers.
• Will demonstrate your coaching and mentoring skills to help teams continuously grow and improve in delivering high quality software solutions.
• Support line of business areas with more advanced statistical and quantitative analysis. Ability to run models, look for exceptions and take corrective actions where necessary.
• Use technology tools to conduct analysis; apply techniques such as SQL querying and macro development to extract data for populating models.
• Release Support: Work closely with internal/external teams to help with the release process, ensuring smooth and error-free releases to production.
• Interact directly with customers to gather feedback, troubleshoot issues, and ensure that the product meets their expectations.

• Bachelor’s degree in computer science or related discipline; advanced Studies/ Degree preferred.
• 5-7 years of experience in data engineering with strong proficiency in Python programing language (Nice to have: Scala, Java).
• Strong proficiency in spark SQL, SQL, gremlin, GraphQL and database management (Snowflake cloud-base warehousing).
• Strong experience with data processing frameworks, DataFrames, Apache Spark, Graph DBs
• Experience with cloud platform AWS (EMR, EKS, Lambda).
• Experience writing statistical and/or optimization programs to develop models and algorithms.
• Programming languages may include—but are not limited to—Python, R
• Solid understanding of SDLC practices including development, testing, and release management.
• Experience with version control systems such as Git, BitBucket
• Experience with RESTful API design and development.
• Familiarity with PySpark for large-scale data processing and analysis.

• Ability to use data to help inform strategy and direction.
• Ability to translate complex statistical models and methodologies into simple business terms.
• Help with pytests, testing frameworks, SDLC expertise.
• Help with data modeling, data engineering efforts, proper python expertise
• Interact with customers and stay on top of issues, understand our platform, and debug issues.
• Help with talend, control-m, APIs.
• Hands-on help with our team release, customer release etc.
• Pyspark, spark, sql knowledge.
• Strong leadership, planning and communication skills.