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Senior Spark Data Engineer
4 months ago
Job Description: As a Senior Spark Data Engineer, you will play a pivotal role in designing, developing, and optimizing data processing pipelines using Apache Spark. You will work closely with cross-functional teams to understand business requirements and translate them into scalable and efficient data solutions. Your expertise in SQL, Python, Databricks, and Spark will be critical in ensuring the seamless processing of large-scale imagery and big data sets. This role offers an exciting opportunity to work on cutting-edge technologies and make a significant impact on our data infrastructure.
Key Responsibilities:
Design, develop, and maintain Spark-based data processing pipelines to efficiently handle large-scale imagery and big data sets.
Collaborate with data scientists and analysts to understand data requirements and implement solutions that meet business objectives.
Optimize Spark jobs for performance and scalability, ensuring efficient resource utilization and fast processing times.
Troubleshoot and debug issues in Spark applications, identifying bottlenecks and implementing solutions to improve performance.
Utilize Databricks platform to orchestrate and manage Spark jobs, ensuring reliability and high availability.
Develop custom functions and libraries in Python or Scala to extend Spark's functionality and meet specific project requirements.
Stay up-to-date with the latest advancements in Spark and big data technologies, incorporating best practices and industry standards into our data engineering processes. Skills and Qualifications:
Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
Proven experience as a data engineer or similar role, with a focus on building and optimizing Spark-based data pipelines.
Expertise in SQL and Python, with the ability to write complex queries and scripts for data manipulation and analysis.
strong knowledge of Apache Spark and its ecosystem, including Spark SQL, Spark Streaming, and Spark MLlib.
Hands-on experience with Databricks platform for managing Spark clusters and workflows.
Familiarity with cloud platforms such as AWS, Azure, or Google Cloud Platform, and their respective big data services (e.g., AWS EMR, Azure Databricks).
Experience working with large-scale imagery or geospatial data is a plus.
Excellent problem-solving skills and attention to detail, with a passion for optimizing data processing workflows for performance and efficiency.
strong communication and collaboration skills, with the ability to work effectively in a cross-functional team environment. Join us in shaping the future of big data analytics and making a meaningful impact with your skills and expertise. If you're passionate about leveraging Spark and Python to tackle complex data challenges, we'd love to hear from you
location: remote, Ohio
job type: Permanent
salary: $140, ,000 per year
work hours: 8am to 4pm
education: Bachelors
responsibilities:
Serve as the subject matter expert in technologies used for our data strategy in the cloud.
Design, develop, optimize, and maintain data architecture and pipelines that adhere to ETL principles and business goals
Solve complex data problems to deliver insights that helps the organization's business to achieve their goals
Create data products for analytics and data scientist team members to improve their productivity
Advise, consult, mentor and coach other data and analytic professionals on data standards and practices
Foster a culture of sharing, re-use, design for scale stability, and operational efficiency of data and analytical solutions
Lead the evaluation, implementation and deployment of emerging tools and process for analytic data engineering to improve the organization's productivity as a team
Partner with business analysts and solutions architects to develop technical architectures for strategic enterprise projects and initiatives.
qualifications:
Experience level: ExperiencedMinimum 10 years of experienceEducation: Bachelors
skills: Data Warehouse
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including health, an incentive and recognition program, and 401K contribution (all benefits are based on eligibility).
Applications accepted on ongoing basis until filled.