Senior Data Engineer
- Jeavio
- 5 - 10 years
- Vadodara
- 3 months ago
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Job Description
We are seeking an experienced Senior 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 Databricks and PostgreSQL.
- Automate tasks using GIT / Jenkins.
- Develop and optimize ETL processes, leveraging AWS services like S3, Lambda, AppFlow, 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)
- Proficiency in Python and PySpark
- Proficiency with ThoughtSpot or Databricks.
- Intermediate proficiency in database scripting (SQL)
- Basic experience with Jenkins for task automation
Nice to Have :
- Intermediate proficiency in data analytics tools (Power BI / Tableau / Looker / ThoughSpot)
- Experience working with AWS Lambda, Glue, AppFlow, and other AWS transfer services.
- Exposure to PySpark and data automation tools like Jenkins or CircleCI.
- Familiarity with Terraform for infrastructure-as-code.
- 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 masters in computer science or related fields.
- 5+ years of experience
Stack/Skills needed:
- Databricks
- PostgreSQL
- Python & Pyspark
- AWS Stack
- Power BI / Tableau / Looker / ThoughSpot
- Familiarity with GIT and/or CI/CD tools
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Analytics - OtherRole: Data Science & Analytics - OtherEmployement Type: Full timeContact Details:
Company: JeavioLocation(s): Vadodara
Keyskills: Airflow Pyspark AWS Data Bricks Python Etl Pipelines Database Scripting Postgresql Looker SQL
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