Our Client Currently looking for Senior ETL Engineer
Job Description :
– Experience in software engineering roles, including developing Extract Transform Load (ETL) and Extract Load Transform (ELT) solutions using Databricks, Python, and SQL.
– Experience developing data pipelines and workflows for 5 or more years in practical, applied environments.
– Experience or familiarity working with NoSQL or other industry-standard data technologies.
– Experience working with cloud platforms such as Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP); this experience is welcome but not required.
– Experience working within Agile or Scaled Agile Framework (SAFe) environments.
Primary Responsibilities :
In this role, youll :
– Design, develop, and maintain ETL/ELT pipelines using Databricks, Python, and SQL Server to support performance, reliability, and scalability.
– Integrate data from multiple systems, including Salesforce APIs and third-party platforms, while contributing to shared data standards and documentation.
– Build and maintain Continuous Integration / Continuous Delivery (CI/CD) pipelines using GitHub Actions for automated data engineering workflows.
– Collaborate with cross-functional teams to deliver data solutions, participate in code reviews, and support team knowledge-sharing.
– Identify and resolve production issues, contribute to sustainable improvements, and support ongoing data-quality monitoring and validation.
Common Accountabilities :
– You bring relevant experience and applied technical knowledge in your discipline.
– You understand how your work supports broader business goals, and you help create a collaborative learning environment by supporting colleagues and sharing knowledge.
– You contribute to decision-making, anticipate impacts in varied scenarios, and help enhance processes.
– You work independently while seeking guidance when helpful.
Mandatory Technical Skills :
You will bring : .
– Experience in ETL or data engineering roles with applied experience using Databricks and Python.
– Proficiency in SQL, including experience with SQL Server and related tooling.
– Experience working in Agile or Scaled Agile Framework (SAFe) environments.
– Experience integrating Software-as-a-Service (SaaS) sources such as Salesforce through APIs and working with version control tools such as Git.
– Experience building and maintaining Continuous Integration / Continuous Delivery (CI/CD) pipelines using GitHub Actions.
Ideal Technical Skills :
– Experience working with cloud platforms such as Azure, AWS, or GCP.
– Familiarity with Delta Lake or Databricks performance optimization.
– Experience with orchestration tools such as Airflow or Azure Data Factory.
– Knowledge of data governance, security, or compliance practices.
– Experience contributing to team learning or helping others develop skills.
Are you interested in this position?
Apply by clicking on the “Apply Now” button below!
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