Position: Data Engineer Team Lead
Company: Storypoint
Category: Data Science
Experience required: 3y
English level: intermediate

Responsibilities:
Team Lead will play a vital role in collaborating as part of this cross-functional Agile team to create and enhance data ingestion pipelines and address big data challenges. The Team Lead will work closely with the Data Architect and Chief Architect, systems engineers, software engineers, and data scientists on the following key tasks:

Provide Extraction, Transformation, and Load (ETL) experience coupled with enterprise search capabilities to solve Big Data challenges;
Managing the day-to-day activities of the team;
Scope Management;
Design and implement high-volume data ingestion and streaming pipelines using Open Source frameworks like Apache Spark, Flink, and Kafka on AWS Cloud;
Leverage strategic and analytical skills to understand and solve customer and business centric questions;
Create prototypes and proofs of concept for iterative development;
Learn new technologies and apply the knowledge in production systems;
Monitor and troubleshoot performance issues on the enterprise data pipelines and the data lake;
Partner with various teams to define and execute data acquisition, transformation, processing and make data actionable for operational and analytics initiatives.
Requirements:
2 years of experience on leading position;
2 years of experience with big data tools: Hadoop, Spark, Kafka;
1 years of experience with object-oriented programming with Java or Python;
3 years of experience with and managing data across relational SQL and NoSQL databases like MySQL, Postgres, Cassandra, HDFS, Redis, and Elasticsearch;
2 years of experience working in a Linux environment;
2 years of experience working with and designing REST APIs;
Experience in designing/developing platform components like caching, messaging, event processing, automation, transformation and tooling frameworks;
Experience developing data ingest workflows with Kafka Streams;
Experience transforming data in various formats, including JSON, XML, CSV, and zipped files;
Experience with performance tuning of ETL jobs;
Strong interpersonal and communication skills necessary to work effectively with customers and other team members;
Experience with software configuration management tools such as Git/Gitlab;
Confidence and skillful negotiating skills;
Good organizational skills;
Results-Oriented approach.
Preferred Qualifications:
Experience with AWS cloud services: EC2, S3, EMR, RDS, Redshift, Athena and/or Glue;
Experience with Microservices architecture components, including Docker and ECS;
Experience developing microservices to fit data cleansing, transformation and enrichment needs;
Experience developing flexible data ingest and enrichment pipelines, to easily accommodate new and existing data sources;
Experience with continuous integration and deployment (CI/CD) pipelines;
Experience with Jira, Confluence and extensive experience with Agile methodologies;
Detailed oriented/self-motivated with the ability to learn and deploy new technology quickly;
A technical degree from a reputable University or equivalent years of experience.