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Responsibilities
platforms.
transformation pipelines across on-prem and cloud platforms.
Required Skills:
● Design, develop, and support data pipelines and related data products and platforms.
● Design and build data extraction, loading, and transformation pipelines and data products across on-
prem and cloud platforms.
● Perform application impact assessments, requirements reviews, and develop work estimates.
● Develop test strategies and site reliability engineering measures for data products and solutions.
● Participate in agile development "scrums" and solution reviews.
● Lead the resolution of critical operations issues, including post-implementation reviews.
● Perform technical data stewardship tasks, including metadata management, security, and privacy by
design.
● Design and build data extraction, loading, and transformation pipelines using Python and other GCP
Data Technologies
● Demonstrate SQL and database proficiency in various data engineering tasks.
● Automate data workflows by setting up DAGs in tools like Control-M, Apache Airflow, and Prefect.
● Develop Unix scripts to support various data operations.
● Model data to support business intelligence and analytics initiatives.
● Utilize infrastructure-as-code tools such as Terraform, Puppet, and Ansible for deployment automation.
● Expertise in GCP data warehousing technologies, including BigQuery, Cloud SQL, Dataflow, Data
Catalog, Cloud Composer, Google Cloud Storage, IAM, Compute Engine, Cloud Data Fusion and
Dataproc (good to have).
Qualifications:
● Bachelor's degree in Software Engineering, Computer Science, Business, Mathematics, or related
field.
● 4+ years of data engineering experience.
● 2 years of data solution architecture and design experience.
Interested candidates can send their resumes to riyanshi@etelligens.in
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