Secondary Skills DBT, Release management, DevOps CI.CD
We are seeking a skilled Data Engineer proficient in Airflow, with expertise in DBT (Data Build Tool). The ideal candidate will play a key role in designing, developing, and maintaining data pipelines, ensuring the reliability and efficiency of data workflows within our organization.
Responsibilities
Overall 4+ yrs experience with various data platforms, data warehousing initiatives including at least 1 implementation experience in building data pipelines, Schedule, Orchestrate with Airflow and DBT is Mandatory.
Having Data Engineering, Orchestration experience using Apache Airflow and Python.
Familiarity with containerization and orchestration tools like Podman, Rancher and Kubernetes.
Proficient in SQL and Python is a Must.
Collaborating with the team for ensuring suitable translation of architectural solutions into robust and effective implementation.
Thorough understanding and application of AWS services related to Cloud data platform is mandatory AWS S3, AWS Glue, Amazon Redshift.
Stay current with industry trends and advancements in ETL technologies, incorporating new tools and techniques as appropriate like Airflow and DBT specific CICD, Version Control and Automated Testing.
Collaborate with infrastructure and DevOps teams to deploy and monitor data pipelines in production environments.
Work closely with DBT Engineers to understand the dbt models
Should have Ability to integrate logically different tasks into Data pipelines.
Must have good exposure to configure, schedule and orchestrate pipelines.
Mandatory Skills AWS Data Services, Airflow, Podman/Docker containers, GIT, Python, SQL
Secondary Skills DBT, Release management, DevOps CI.CD
We are seeking a skilled Data Engineer proficient in Airflow, with expertise in DBT (Data Build Tool). The ideal candidate will play a key role in designing, developing, and maintaining data pipelines, ensuring the reliability and efficiency of data workflows within our organization.
Responsibilities
Overall 4+ yrs experience with various data platforms, data warehousing initiatives including at least 1 implementation experience in building data pipelines, Schedule, Orchestrate with Airflow and DBT is Mandatory.
Having Data Engineering, Orchestration experience using Apache Airflow and Python.
Familiarity with containerization and orchestration tools like Podman, Rancher and Kubernetes.
Proficient in SQL and Python is a Must.
Collaborating with the team for ensuring suitable translation of architectural solutions into robust and effective implementation.
Thorough understanding and application of AWS services related to Cloud data platform is mandatory AWS S3, AWS Glue, Amazon Redshift.
Stay current with industry trends and advancements in ETL technologies, incorporating new tools and techniques as appropriate like Airflow and DBT specific CICD, Version Control and Automated Testing.
Collaborate with infrastructure and DevOps teams to deploy and monitor data pipelines in production environments.
Work closely with DBT Engineers to understand the dbt models
Should have Ability to integrate logically different tasks into Data pipelines.
Must have good exposure to configure, schedule and orchestrate pipelines.
Key job details
About Virtusa
Teamwork, quality of life, professional and personal development: values that Virtusa is proud to embody. When you join us, you join a team of 36,000 people globally that cares about your growth — one that seeks to provide you with exciting projects, opportunities and work with state of the art technologies throughout your career with us.
Great minds, great potential: it all comes together at Virtusa. We value collaboration and the team environment of our company, and seek to provide great minds with a dynamic place to nurture new ideas and foster excellence.
Virtusa is an Equal Opportunity Employer. All applicants will receive fair and impartial treatment without regard to race, color, religion, sex, national origin, ancestry, age, legally protected physical or mental disability, protected veteran status, status in the U.S. uniformed services, sexual orientation, gender identity or expression, marital status, genetic information or on any other basis which is protected under applicable federal, state or local law.
Applicants may be required to attend interviews in person or by video conference. In addition, candidates may be required to present their current state or government-issued ID during each interview. All candidates must be authorized to work in the USA.
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