Senior Data Engineering Leader

1 day ago

Mumbai, Maharashtra, India beBeeDataEngineer Full time US$ 1,20,000 - US$ 1,80,000

We are seeking a Senior Data Engineer to join our team.

This role is ideal for a highly skilled professional with experience in designing, constructing, and optimizing large-scale data processing systems. In this position, you will work closely with data scientists, analysts, and other engineers to ensure the availability, reliability, and efficiency of our Databricks solution.

The successful candidate will have strong programming skills in languages such as Python, Java, or Scala, and experience with ETL tools and frameworks, data pipeline orchestration, big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (AWS, GCP, Azure). Additionally, they will possess a strong understanding of data warehousing concepts, data modeling, and schema design.

Key Responsibilities

• Design, develop, and maintain scalable and robust data pipelines that collect, process, and store large volumes of structured and unstructured data.

• Architect and implement data warehouses, data lakes, and other storage solutions that support analytics and reporting needs.

• Optimize data architectures and workflows for performance, scalability, and cost-efficiency.

• Collaborate with data scientists and analysts to understand data requirements and ensure that data systems meet their needs.

• Ensure data quality, integrity, and security by implementing best practices in data governance and management.

• Develop and maintain documentation for data systems, including data models, flow diagrams, and operational procedures.

• Mentor and guide junior data engineers, providing technical leadership and support.

• Stay current with emerging technologies and trends in data engineering, and apply them to improve existing systems.

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, or a related field.

• 5+ years of experience in data engineering or related fields, with a focus on large-scale data systems

• 3+ years of experience with Databricks

• Proficiency in SQL and experience with databases such as MySQL, PostgreSQL, or NoSQL databases

• Strong programming skills in languages such as Python, Java, or Scala.

• Experience with ETL tools and frameworks and data pipeline orchestration.

• Familiarity with big data technologies (e.g., Hadoop, Spark, Kafka) and cloud platforms (AWS, GCP, Azure).

• Strong understanding of data warehousing concepts, data modeling, and schema design.

• Excellent problem-solving skills and attention to detail.

• Strong communication skills and ability to work effectively in a team-oriented environment

About Us

We are an Equal Opportunity Employer committed to creating a diverse and inclusive workplace. We welcome applications from qualified candidates without regard to race, religion, sex, sexual orientation, gender identity, age, national origin, ancestry, citizenship, disability, or veteran status.

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