Mcafee Senior Data Ingestion Engineer 

India, Karnataka, Bengaluru 

476897255

This role requires a deep understanding of
- Data Lake ingestion processes and best practices
- ETL/ELT implementation
- CI/CD
- System integration tools
- Data pipeline managementThis is a Hybrid position based in Bangalore. You must be within a commutable distance from the location. You will be required to be onsite on an as-needed basis; when not working onsite, you will work remotely from your home location.

About the role:

• This role involves managing data ingestion processes on the Databricks platform, requiring expertise in Data Lake ingestion, ETL/ELT design, and CI/CD practices.
• You will design, implement and manage data ingestion processes from a variety of source systems, ensuring best practices are followed and tailoring approaches to each system.
• You will be responsible for developing, maintaining, and optimizing ETL/ELT pipelines while ensuring adherence to security, compliance, and PII management standards.
• Additionally, this position requires knowledge of system integration tools and effective data pipeline management.
• You'll implement automated monitoring to maintain pipeline infrastructure reliability.
• This role also includes contributing to Agile sprints and ensuring adherence to SDLC best practices.
• The ideal candidate will apply ingestion best practices across diverse source systems, tailoring approaches as needed.

About you:

• You should have 7 to 9 years of experience in data engineering, ingestion pipelining, and ETL/ELT,
• You should have proficiency in SQL and programming languages like Python or Pyspark, as well as experience with Databricks and cloud platforms such as AWS.
• Hands-on expertise with Spark/Scala, ETL/ELT development using tools like Apache Airflow, and ingestion tools such as Dell Boomi is required.
• A solid understanding of data quality guidelines, CI/CD pipelines, and Agile sprint management is also necessary.
• Familiarity with Git and version control systems is expected.
• Experience in leading small, high-performing teams of data engineers is essential.
• Product subscription business model domain and knowledge on Kong-API, Kinesis is a plus.

We work hard to embrace diversity and inclusion and encourage everyone at McAfee to bring their authentic selves to work every day. We offer a variety of social programs, flexible work hours and family-friendly benefits to all of our employees.

• Bonus Program
• Pension and Retirement Plans
• Medical, Dental and Vision Coverage
• Paid Time Off
• Paid Parental Leave
• Support for Community Involvement