Key Responsibilities:
- Develop Data pipelines/Ingestion/Engineering and Analytic Application processes to business specification and technology standards that leverage/extend existing Data & Analytics platforms using a variety of Tech stack including (but not limited to) AWS, Google Cloud Platform, Informatica, Streamsets and Acceldata.
- Collaborate with project teams (solution architects, business, QA and project management) to ensure solutions meet business objectives and fall within timelines and acceptance criteria.
- Participate in testing of prototypes & validate test procedures to ensure that they are applicable to the design.
- Perform root-cause analysis (RCA) of complex issues ranging from hardware, operating system, application, network, and information security platforms while working closely with various infrastructure teams and business users to quickly arrive at creative, tactical and long-term solutions.
Key Requirements:
- Experience with AWS ecosystem (EMR, EC2, S3) and Google Cloud Platforms (and capabilities) is required.
- Experience with Informatica, Streamsets and Acceldata a strong preference.
- Experience with working on projects in multiple technological and business environments simultaneously.
- Understanding of micro-services, web-based applications and REST APIs.
- Experience in Data Analytics, SQL, Python, PySpark, Shell Script.
- Experience in Informatica BDM, AXON & Analyst, Power BI.
- Show an ownership mindset in everything you do. Be a problem solver, be curious and be inspired to take action. Be proactive, seek ways to collaborate and connect with people and teams in support of driving success.
- Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.
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