Senior Data Engineer

If you are a passionate and experienced Senior Data Engineer looking for an exciting new challenge, we would love to hear from you

Position Title: Senior Data Engineer

Location: New York, New York, United States

Job Overview: We are seeking a highly skilled and experienced Senior Data Engineer to join our dynamic and growing team. As a Senior Data Engineer, you will be responsible for designing, developing, and maintaining our data infrastructure, as well as implementing scalable and reliable data pipelines. You will work closely with cross-functional teams to ensure the efficient and accurate flow of data throughout our organization.

Key Responsibilities:

• Design, develop and maintain our data infrastructure, including data warehouses, data lakes, and data pipelines.
• Develop and implement data ingestion, transformation, and processing solutions to support both batch and real-time data processing.
• Collaborate with data scientists and business analysts to identify and understand data requirements, and translate them into technical solutions.
• Build and maintain scalable and reliable data pipelines to support data-driven applications and analytics.
• Ensure the integrity, accuracy, and security of our data by implementing appropriate data governance and quality control measures.
• Monitor and troubleshoot data pipelines and systems to identify and resolve any issues or performance bottlenecks.
• Keep up-to-date with the latest data engineering and big data technologies and tools, and evaluate their potential to improve our data infrastructure and processes.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
• Minimum of 5 years of experience in data engineering, with a focus on building and maintaining data pipelines.
• Strong experience with ETL/ELT processes, data warehousing, and data modeling.
• Proficiency in programming languages such as Python, Java, or Scala, and experience with SQL and NoSQL databases.
• Experience with big data technologies such as Hadoop, Spark, Kafka, and Hive.
• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.
• Experience with data visualization tools such as Tableau or Power BI is a plus.
• Strong problem-solving and analytical skills, with a keen attention to detail.
• Excellent communication and collaboration skills, with the ability to work effectively in a fast-paced and dynamic environment.

Benefits:

• Family leave (Maternity, Paternity)
• Competitive salary and benefits package.
• Opportunities for career growth and advancement.
• Dynamic and collaborative work environment.
• Flexible working hours and remote work options.
• Continuous learning and professional development opportunities.

Apply now and become part of our innovative and growing team!