Search for Senior Data Engineer roles with a focus on Big Data technologies like Hadoop and Spark. I'm looking for positions in Altamonte Springs, FL, requiring at least 4 years of experience, within the Information Technology industry, and offering a salary range of $100,000 to $170,000.

Okay, I've searched for Senior Data Engineer roles focusing on Big Data technologies such as Hadoop and Spark in Altamonte Springs, FL. These positions require at least 4 years of experience and are within the Information Technology industry, offering salaries between $100,000 and$ 170,000. I found 56 positions for you to explore.

Senior Data Engineer

Altamonte Springs, FL

Information Technology

4 years + Experience

$100000+

$170000-

Can you help me to analyze the job description and company culture?

Sure. Here's the analysis:

Job Analysis:

The role of AVP, Senior Data Engineer at Synchrony centers around creating a robust, consumer-focused analytics environment utilizing advanced big data technologies. This role is crucial in transforming legacy systems to ensure efficient data utilization for better decision-making processes. Responsibilities include building and implementing a big data enterprise data lake and BI systems using technologies like Hadoop, Spark, and Kafka. The ideal candidate will engage in cross-functional collaboration, communicating technical impacts on development timelines effectively. Key skills include significant experience with coding in Scala and Python and strong problem-solving capabilities to manage data ingestion and transformation. Candidates will face challenges around managing shifting priorities in a fast-paced environment, requiring adaptability and a proactive mindset. Success in this role means delivering high-quality data solutions that support informed financial decisions across Synchrony's extensive network of businesses and healthcare providers, thereby directly contributing to the company's mission of enhancing customers' financial lives.

Company Analysis:

Synchrony operates in the consumer financing space, positioning itself as a vital player supporting the everyday financial needs of millions of customers. This organization's commitment to making informed credit choices emphasizes a culture centered around customer experience and financial literacy. The company values flexibility and inclusivity, supporting remote work, which indicates an adaptable, employee-focused environment. Within the organizational structure, this role likely interacts with other technical and product teams, providing substantial visibility that allows for strategic impact across the company. As Synchrony gears towards leveraging data analytics to inform product and service offerings, the Senior Data Engineer is crucial in enabling these initiatives through data transformation. The firm seems dedicated to innovation, which aligns well with the need for candidates to possess not only technical skills but also a proactive and collaborative approach to problem-solving.

Mock up some interview questions based on the job description.

Absolutely. Here are some mock interview questions that could come up:

Can you describe a time when you had to implement a complex data solution? What steps did you take to ensure its success?
Tell me about a challenging technical problem you faced while working with big data technologies. How did you solve it?
How do you prioritize multiple competing projects or requests from different stakeholders?
What experience do you have in real-time data ingestion, and how have you approached it in your previous roles?
Explain the process you would follow to transform a legacy system into a scalable big data architecture.
Which big data technologies are you most proficient in, and how have you leveraged them in past projects?
Imagine Synchrony is looking to integrate a new data source into the existing data lake. What steps would you take to assess the impact and implement this integration?
If a data processing task is taking longer than expected, what troubleshooting methods would you employ to identify the issue?
Why are you interested in working for Synchrony specifically, and how do you see your values aligning with the company's mission?
Can you describe a situation where you had to present complex technical information to a non-technical audience? How did you ensure they understood?
What aspects of our company culture resonate most with you, and how do you think you can contribute?
What questions do you have about Synchrony’s approach to leveraging data analytics in customer financing?
How does your experience with CI/CD processes support your ability to deliver high-quality data solutions?

Job Details

Overview Company

Senior Data Engineer

$100k/y-$170k/y

Synchrony

6 months ago

Highlight

HybridFull-time4+ yearsSenior

Summary

Synchrony is seeking an AVP, Senior Data Engineer to join their team in Altamonte Springs, FL. The role involves developing a consumer-centric, low latency analytic environment leveraging Big Data technologies and transforming legacy systems.

About the Role

As an AVP, Senior Data Engineer, you will implement a big data enterprise data lake, BI and analytics system using Hadoop, Hive, Spark, Ab Initio, Redshift, Kafka, and Oracle. You will work closely with product owners, scrum masters, and architects to convey technical impacts to development timelines and risks. Coordination with data engineers and platform administrators to drive program delivery is essential. You will advocate technical development, DevOps processes, and application standards across the enterprise data lake and data warehouse.

About You

Required:

Bachelor's degree in Computer Science or Engineering.
4+ years hands-on working experience in Hadoop, Spark (Scala and Python), Ab Initio, Kafka, MapReduce, HDFS, and Hive.
Understanding of CI/CD and fluency with Git and Jenkins.
Proven ability to organize/manage multiple priorities and adapt to changing business needs.
Excellent written and oral communication skills.
Strong analytical and problem-solving skills.
Experience working in real-time data ingestion.
Experience in sourcing and processing structured, semi-structured, and unstructured data.
Experience in Data Cleansing/Transformation, Performance Tuning.

Preferred:

Master's degree.
Experience in Storm, Kafka, and Flume.
Hortonworks or Cloudera or MapR Certification.
Basic knowledge of Big Data administration (Cloudera Manager).

Benefits

Choice and flexibility to work from home, near a hub, or in an office.
Eligibility for an annual bonus based on individual and company performance.

Synchrony

At Synchrony, our driving force is to be essential to people's everyday lives by making it easier for the many millions of people who rely on us to access their essential needs and everyday wants with consumer financing that works for them – from their first credit card to a lifetime of flexibility. We do this by helping people make informed, smart credit choices so they can live healthier financial lives and by connecting them to Synchrony's ecosystem of hundreds of thousands of small- and mid-sized businesses and health and wellness providers that are the backbone of the U.S. economy.

Altamonte Springs, FL