Job Description

Here's the impact you'll make and what we'll accomplish together

As a member of the Data Engineering team you will utilize DevOps principles to evaluate current and new solutions, discover, evaluate, and provide Data engineering support to EMR platforms. Your contributions will directly impact our ongoing pursuit to enhance our infrastructure and data initiatives to provide real time health alerts of our service to be used by our frontline and support teams to quickly identify problems and in turn help reduce mean time to repair and provide aner action reports which will enhance the understanding of the health status of our services.

Here's how

Responsibilities :

Willingness to learn and become an expert in new technologies Leading, inspiring and supporting team members to drive high performance and team engagement Collaborating and fostering strong working relationships with internal and external stakeholders Providing support to our internal customers through the design and implementation of solutions. Working closely with the ours and other teams to ensure requirements are understood and delivered Helping develop and drive automation opportunities, both on various databases and AWS side Continuously improving processes and a relentless pursuit of reliability and efficiency
Qualities :

You're the missing piece of the puzzle Commended for being a fast learner and resourceful Known for effective time management and ability to work independently and with a team Research, analytical and problem-solving skills Recognized for your initiative and owning complex issues through to resolution Experience with DB technologies like Oracle, MySQL, MSSQL, MongoDB
Expertise with the internals of a distributed compute engine (Spark/ PySpark - Preferred, Presto, or Flink/Beam - also Preferred)

Some experience in SQL, Stored Procedures, Data Modelling Experience with cloud infrastructure (any one of GCP and/or AWS with preference to GCP) Some experience with Terraform coding Modern Big-Data storage technologies (Iceberg - Preferred, Hudi, Delta) Moderate experience with GCP services, specifically DB related, like BigQuery, Cloud Storage, Cloud Dataflow, and Dataproc Expertise with Data Analytics Strong sense of business ownership and customer focus Advanced oral and written English language and communication skills
Great-to-haves

4-7 Years of Experience Knowledge of and Experience with the following: Experience in query optimization, resource allocation and management, and data lake performance (Presto, SQL) Jira, Confluence, Jenkins Palantir Foundry Background and practical experience in statistics and/or computational mathematics (Bayesian and Frequentist approaches, NumPy, PyMC3, etc.) Some experience with AWS services, specifically DB related, like DMS, Glue, Athena, Textract

Linux RHEL and CentOS scripting.

Job Types: Full-time, Permanent

Pay: ?1,005,235.94 - ?1,851,731.48 per year

Schedule:

Monday to Friday Night shift Rotational shift
Work Location: In person