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 automationNice 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 master’s in computer science or related fields.● 5+ years of experienceStack/Skills needed:● Databricks● PostgreSQL● Python & Pyspark● AWS Stack● Power BI / Tableau / Looker / ThoughSpot● Familiarity with GIT and/or CI/CD tools
Job Title
Senior Data Engineer