Data Operations Engineer

As data operations engineer, you will collaborate with various infrastructure teams, platforms, product, engineering and scientists, to identify requirements that will derive the creation of sensible operations to build and manage data analytics foundations. The ideal candidate is a self-motivated teammate with good problem solving and communication skills with the ability to adapt and learn quickly, provide results with limited direction, and choose the best possible operational decisions.

• Lead day-to-day operations to ensure organizational delivery of quality results.
• Responsible for provisioning, enabling, scaling and maintaining our team's data, analytics and ML infrastructures for batch and real time systems including pipelines, frameworks, tools and services in hybrid cloud.
• Shepherd zero-downtime deployment process through continuous delivery practices, rapidly releasing features that provide critical and faster insights to business users.
• Collaborate with the platform team by building the right tools for observability , monitoring, alerting and self-healing for the day to day management of analytics foundations.
• Debug complex problems in distributed environment and ability to run the prod incidents efficiently to following up with Post incident reviews.
• Developing self-service tools and automation to improve engineering efficiency and the quality of services.

• Excellent verbal and written communication skills.
• Self-starter with forward thinking capability with strong executional track record and be accountable for business priorities.
• Hands-on experience with CI/CD pipelines and cloud environments like Gitlab, Spinnaker, Docker/Kubernetes observability using Splunk, Grafana/Data dog is a huge plus.
• Proficient with one or more programming languages such as Python/Go/Rust/Java/Scala for automation and API integrations.
• Experience in implementing security controls, governance processes, compliance validation, infrastructure cost analysis and optimization.
• Knowledge of analytics and Applied ML stack like Apache Spark, Trino/Pinot, Iceberg, Atlas, Flink, Airflow/Luigi, Tableau, Snowflake, Databricks, MLFlow, Data Catalogs, Jupyter Notebooks, Vector database and Cassandra.
• Solid understanding of IAAC (infrastructure as a code) techniques like terraform, orchestration and tooling.
• Experience scaling operations in a fast-paced and dynamic environment. Experience working in agile or evolving product environments."
• Communicate regularly with Engagement Managers (Directors), project team members, and representatives from various functional and / or technical teams, including escalating any matters that require additional attention and consideration from engagement management
• Independently and collaboratively lead client engagement workstreams focused on improvement, optimization, and transformation of processes including implementing leading practice workflows, addressing deficits in quality, and driving operational outcomes, Required
• 7+ years of demonstrated experience in an Analytics and Strategy role.
• Strong business acumen and the ability to think strategically and operationally.
• Be a self-starter, driven, accountable and a high-energy team player.
• Proven experience being a thought partner to cross-functional business teams offering actionable data insights and recommendations.
• Demonstrated ability to influence without authority.
• Excellent communication skills-able to distill complex analysis into simple, compelling narratives. Background in consulting or customer-facing, fast-paced analytical environment.
• Expertise with SQL, R or Python and data visualization tools such as Tableau for full-stack data analysis, insight synthesis and presentation.
• Knowledge of and experience in leveraging Applied Statistical/ML techniques.
• Bachelor's degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.
• Limited immigration sponsorship may be available
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Hybrid role - On-site Tue-Wed-Thu

Preferred

• 7+ years of demonstrated experience in an Analytics and Strategy role, preferably in the payments/fintech domain.
• Ability to understand ambiguous and complex problems and design and execute analytical approaches and turn analysis into clear and concise takeaways that drive action.
• Track record of leading organization-wide strategic initiatives or transformative analytics projects.
• Master's degree in Economics, Finance, Statistics, Mathematics, Econometrics, or Applied Social Sciences.

For individuals assigned and/or hired to work in California, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to California and takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $107,900 to $179,900.