About the role
Our client, a leading digital bank backed by a multinational financial institution is rapidly expanding their team, tackling exciting challenges and delivering top-notch products in small, cross-functional groups. They are currently looking for frontend engineers to onboard in August.
RESPONSIBILITIES:
* Collaborate with the team to design, maintain, and enhance various analytical and operational services and infrastructure that are vital for numerous functions across the organizatio, include: * managing the data lake, operational databases, data pipelines, and large-scale batch and real-time data processing systems, along with a metadata and lineage repository. * Work alongside ther data science team to structure data schemas and design data models * Partner with product teams to integrate new data sourceseam up with other data engineers to implement cutting-edge technologies in the data domain.
OUR IDEAL CANDIDATE
We are looking for:
* Candidates with substantial experience in some of the following skills and technologies, and a motivation to expand their knowledge on the job. * Highly logical, balancing respect for best practices with critical thinking * Adaptable to new challenges * Capable of independently delivering projects from start to finish * Proficient in English communication. * Collaboration with teammates and stakeholders is essential, as is the eagerness to be part of a high-performing team that will elevate their careers alongside us.
HIGHLY RELEVANT SKILLS (FAMILIARITY WITH AT LEAST ONE TECHNOLOGY IN MOST CATEGORIES IS PREFERRED):
* General Computing Expertise: Unix environments, networking, distributed and cloud computing * Python Frameworks and Tools: pip, pytest, boto3, pyspark, pylint, pandas, scikit-learn, keras * Workflow Scheduling and Monitoring Tools: Apache Airflow, Luigi, AWS Batch * Columnar and Big Data Databases: Athena, Redshift, Vertica, Hive/Hadoop * Container Management and Orchestration: Docker, Docker Swarm, ECS, EKS/Kubernetes, Mesos * CI/CD Tools: CircleCI, Jenkins, TravisCI, Spinnaker, AWS CodePipeline * Distributed Messaging and Event Streaming Systems: Kafka, Pulsar, RabbitMQ, Google Pub/Sub * Streaming Data Processing Frameworks: Spark Streaming, Apache Beam, Apache Flink * General AWS or Cloud Services: Glue, EMR, EC2, ELB, EFS, S3, Lambda, API Gateway, IAM, Cloudwatch * Version Control: Git commands, branching strategies, collaboration etiquette, documentation best practices * Agile/Lean Methodologies: Scrum, Kanban
ADDITIONAL SKILLS (FAMILIARITY WITH ANY OF THE FOLLOWING IS A PLUS):
* JVM Languages and Frameworks: Kotlin, Java, Scala / Maven, Spring, Lombok, Spark, JDK Mission Control * RDBMS and NoSQL Databases: MySQL, PostgreSQL / DynamoDB, Redis, HBase * Enterprise BI Tools: Tableau, Qlik, Looker, Superset, PowerBI, Quicksight * Data Science Environments: AWS Sagemaker, Project Jupyter, Databricks * Log Ingestion and Monitoring: ELK stack (Elasticsearch, Logstash, Kibana), Datadog, Prometheus, Grafana * Metadata Catalog and Lineage Systems: Amundsen, Databook, Apache Atlas, Alation, uMetric * Data Privacy and Security Tools and Concepts: Tokenization, hashing and encryption algorithms, Apache Ranger
If you feel that this position describes who you are, what you are looking, and you are urgently seeking a new role, we encourage you to apply right away!
Originally posted on Himalayas