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Sr. Data Engineer

Sr. Data Engineer

tap growth ai
8-10 Years
Not Disclosed
Early Applicant
  • Posted a month ago
  • Be among the first 10 applicants

Job Description

We're Hiring: Sr. Data Engineer!

We are seeking an experiencedSenior Data Engineerto design, develop, andmaintainscalable data solutions and pipelines in an enterprise environment. The ideal candidate will have strong hands-on experience inPython, SQL, cloud platforms, data pipelines, and modern data technologies, with the ability to work with large and complex datasets.

Key Responsibilities

  • Design, develop, andmaintainscalabledata pipelines and ETL/ELT processes.

  • Develop data solutions usingPython and SQL.

  • Build andoptimizedata processing and transformation workflows.

  • Work with cloud-based data platforms and services.

  • Design andmaintaindata models, data warehouses, and data lakes.

  • Support both batch and real-time data processing requirements.

  • Implement data quality checks, monitoring, and error handling.

  • Optimizedata pipelines and queries for performance and reliability.

  • Work closely with Data Architects, Analysts, Developers, and other stakeholders.

  • Support production issues, troubleshooting, and continuous improvement.

General Qualifications

  • Bachelor's degree in Computer Science, Information Technology, Engineering, ora relatedfield.

  • 8+ years of experiencein Data Engineering or a related data role.

  • Strong experience working withenterprise-scale data platforms and applications.

  • Experience working in Agile and collaborative technical environments.

Mandatory Skills

  • Strong hands-on experience withPython.

  • StrongSQLskills, including query optimization and data manipulation.

  • Experience developingETL/ELT data pipelines.

  • Experience withdata modelling, data warehousing, and data lakes.

  • Hands-on experience withAWS or Azure.

  • Experience withApache Spark /PySparkor similar distributed data processing technologies.

  • Experience with data orchestration tools such asAirflow, Azure Data Factory, or equivalent.

  • Experience withGit and CI/CD.

  • Good understanding ofdata quality, security, and governance.

Nice-to-Have Skills

  • Experience withDatabricks or Snowflake.

  • Experience withKafkaor other streaming technologies.

  • Experience withTerraformor Infrastructure as Code.

  • Experience with Power BI, Tableau, or other analytics platforms.

  • Cloud or Data Engineering certifications.

  • Experience in banking, financial services, or other large enterprise environments.

Eager to make a difference Apply now—let's build the future of data together!

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