Sr.Data Engineer, Software Engineering
Job Summary
Job Description
14 skills required
Job Details
Job Title: Senior Data Engineer
Location: Bangalore / Mumbai
Company: Saviynt
About Us: Saviynt is a leading provider of Cloud Security and Identity Governance solutions.
Saviynt enables enterprises to secure applications, data, and infrastructure in a single platform
for Cloud (Office 365, AWS, Azure, Salesforce, Workday) and Enterprise (SAP, Oracle EBS).
Saviynt is pioneering Identity Governance Administration by integrating advanced risk analytics
and intelligence with fine-grained privilege management.
Job Description: As a Senior Data Engineer, you will be responsible for designing, developing,
and maintaining scalable data pipelines and infrastructure for both batch and real-time
processing. You will collaborate closely with cross-functional teams to understand complex data
needs, implement robust data solutions, and ensure data quality and reliability. The ideal
candidate will have a strong background in software engineering and data management, with a
passion for building data-driven applications and systems.
Responsibilities:
●Design and implement end-to-end data pipelines that are scalable, reliable, and efficient.
●Develop data architectures for streaming and batch data processing.
●Optimize data infrastructure and platform performance.
●Ensure data quality and reliability through automated testing and monitoring.
●Collaborate with data scientists and analysts to understand data requirements and
deliver actionable insights.
●Mentor junior engineers and promote best practices in software development and data
management.
●Stay updated with the latest technologies and trends in data engineering and
recommend best practices for adoption.
Requirements:
●Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
●5+ years of experience in data engineering or a similar role.
●Proficiency in programming languages such as Python, Java, or Scala.
●Experience with cloud platforms (AWS, Azure, GCP) and their data services (e.g., S3,
Redshift, BigQuery).
●Experience working with Apache Iceberg
●Strong knowledge of distributed computing frameworks (e.g., Spark, Hadoop).
●Solid understanding of relational and NoSQL databases.
●Experience with data pipeline orchestration tools (e.g., Airflow, Luigi).
●Excellent problem-solving skills and ability to work independently as well as in a team
environment.
●Strong communication skills and ability to collaborate effectively with cross-functional
teams.
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