Proficiency understanding and implementing data life cycles, data lineage, custom metadata, and data governance.
Proficiency implementing BigQuery SQL procedures, functions, and similar, with actionable logging
Optimize ETL processes and data workflows to ensure abiding by performance constraints, for efficiency and scalability.
Comfortably lead designing and building of development to production data pipelines from data ingestion to consumption using GCP services, Python, BigQuery, DBT, SQL, Apache Airflow, Celigo.
Expertise in JSON, XML, text parsing using Dataflow, Python, or batch jobs.
Advocates and practices software best practices in leveraging reusable components in implementation.
Design, develop and maintain robust, and scalable data models and schemas to support analytics and reporting requirements.
Optimize data processing performance, ensure high availability, scalability of data systems and solutions.
Implement monitoring and alerting mechanisms to proactively identify and resolve issues.
Ensure data quality and consistency through rigorous testing and validation processes in development and production tiers.
Troubleshoot and resolve data-related issues promptly.
Create, update, and maintain technical documentation of the data processes, pipelines, and models.
Stay updated with industry trends and technologies to continuously improve our data engineering practices.
What You will Need to Succeed
4+ years of experience in Data / ETL Engineering, as well as Data / ETL Architecture and pipeline development with a minimum of 1 year of working experience as Google Cloud Platform (GCP) developer.
Proven experience in building and maintaining a scalable Data Warehouse in a cloud-based data platform, preferably in Google’s BigQuery.
Experience with the primary managed data services within GCP, including DataProc, Dataflow, BigQuery etc.
Proficiency in SQL, DBT, Python (Apache Airflow, Composer) and hands-on experience with ETL tools like Talend, Fivetran or similar.
Proficiency in Git for version control
Experience with DBT for data transformation.
Proven experience in high-quality designing, building and maintaining ETL processes, automated data quality checks and reusable ETL components.
Familiarity with Data Lake and Data Warehousing concepts and Data Modelling techniques.
Familiarity with concepts like star schema, snowflake schema, standardization, normalization, fact and dimension tables.
Strong problem-solving skills and the ability to work independently as well as collaboratively.
Excellent communication skills and the ability to articulate technical concepts to non-technical stakeholders.
Bachelor-level degree in Computer Science, MIS, or CIS, or equivalent experience.
When You Join Team Applied, You Can Expect
A culture that values who you are and recognizes that you aren’t just an employee; you are a teammate, and you matter. We thrive on the benefits of our different experiences and celebrate the uniqueness our teammates bring to work with them every day.
We flex our time together, collaborating remotely and in-person to empower our teams to work in the ways that work best for them.
Learn more about the people behind our products at –
LinkedIn Page Applied Systems India
https://www1.appliedsystems.com/en-us/about-us/jobs/
Your Security Matters
Our candidates’ personal information and online safety are top of mind for us. At Applied, we proactively protect your personal information and only communicate with candidates via a secure @appliedsystems.com email or through our official careers’ portal.
EEO Statement
Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don’t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, color, national origin, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.
