Data engineer

2 weeks ago

Vadodara, India Jeavio Full time

We are seeking an experienced Data Engineer to join our team.

The ideal candidate will have a strong background in data engineering and AWS infrastructure , with hands-on experience in building and maintaining data pipelines and the necessary infrastructure components.

The role will involve using a mix of data engineering tools and AWS services to design, build, and optimize data architecture.

Key Responsibilities: Design, develop, and maintain data pipelines using Airflow and AWS services.

Implement and manage data warehousing solutions with Snowflake and Postgre SQL.

Automate tasks using Jenkins and Circle CI (or equivalent).

Develop and optimize ETL processes, leveraging AWS services like S3, Lambda, App Flow, and DMS.

Create and maintain visual dashboards and reports using Looker.

Collaborate with cross-functional teams to ensure smooth integration of infrastructure components.

Ensure the scalability, reliability, and performance of data platforms.

Work with Jenkins for infrastructure automation.

Technical and functional areas of expertise: Working as a senior individual contributor on a data intensive project Strong experience in building high performance, resilient & secure data processing pipelines preferably using Python based stack.

Extensive experience in building data intensive applications with a deep understanding of querying and modeling with relational databases preferably on time-series data.

Intermediate proficiency in AWS services (S3, Airflow) Intermediate proficiency in Python Intermediate proficiency in data warehousing using Snowflake Intermediate proficiency in data analytics tools (Looker) Intermediate proficiency in database scripting (SQL) Basic knowledge of Go Lang Basic experience with Jenkins for task automation Nice to Have : Experience working with AWS Lambda, Glue, App Flow , and other AWS transfer services.

Exposure to Py Spark and data automation tools like Jenkins or Circle CI .

Familiarity with Terraform for infrastructure-as-code.

Experience with Thought Spot or Databricks .

Experience in data quality testing to ensure the accuracy and reliability of data pipelines.

Proven experience working directly with U.

S.

client stakeholders.

Ability to work independently and take the lead on tasks.

Education and experience: Bachelors or master’s in computer science or related fields.

4+ years of experience

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