Lead Consultant, Data Engineer

Job not on LinkedIn

August 5

Apply Now
Logo of Lovelytics

Lovelytics

Artificial Intelligence • B2B • Data & Analytics

Lovelytics is a leading data and AI consultancy that specializes in transforming business operations through innovative data strategies and advanced analytics. With a focus on industries such as healthcare, financial services, manufacturing, and retail, Lovelytics leverages generative AI and machine learning to empower organizations to maximize the potential of their data assets. As a premier partner of Databricks and other technology leaders, Lovelytics is dedicated to crafting tailored solutions that enhance decision-making processes and optimize performance in the rapidly evolving digital landscape.

51 - 200 employees

Founded 2017

🤖 Artificial Intelligence

🤝 B2B

📋 Description

• Utilize consulting and technical skills to be able to work in a client-facing project environment independently. • Be responsible for your own execution and sometimes lead individual work streams on client engagements as assigned and under supervision of engagement lead. • Collaborate with other team members to successfully deliver on projects. • Work effectively and directly communicate with both internal and client and/or partner teams. • Develop full ownership of your execution on client engagements. • Design and implement complex ETL/ELT pipelines with evidence of improved data processing times. • Successfully lead small data warehousing projects with measurable performance enhancements under the management of an engagement lead. • Contribute to real-time data processing solutions and managed streaming data. • Implement security and compliance measures for data pipelines. • Design and implement version control and branching strategies and integrate them into CI/CD for promoting and testing in higher environments.

🎯 Requirements

• B.S. in Computer Science or equivalent • 3-5 years' experience in data engineering and big data. • At least 2 years working directly with clients and external stakeholders. • Extensive knowledge of data warehousing concepts and hands-on experience deploying pipelines using Databricks * *A must • Data modeling and database design skills and knowledge of version control • Excellent verbal and written communication skills • Is able to apply technical skills to engagement needs • Works with engagement leads and directors to gain exposure in the design and architecture of solutions • Understands and utilizes Lovelytics tools and client tools

🏖️ Benefits

• Exciting projects with great clients in varying departments and verticals across the world • The ability to work closely with experienced data engineers and quickly grow and expand your skillset • The ability to work closely with all sizes of companies, ranging from Fortune 100 to small local businesses • A workplace where you are encouraged to challenge the status quo and develop new technologies, methodologies, and processes • A diverse team consisting of data gurus, experience seekers, and entrepreneurial minds that are always pushing to be better

Apply Now

Similar Jobs

August 4

iBusiness Funding seeks a Senior Platform Data Architect to innovate and mentor in data solutions.

Amazon Redshift

AWS

Cloud

Distributed Systems

ETL

Java

Python

SQL

SSIS

TypeScript

July 30

Join Galileo Financial Technologies to lead data transformation projects as a Senior Data Engineer.

Airflow

Apache

AWS

Azure

Cloud

ETL

Google Cloud Platform

Java

PySpark

Python

SQL

Tableau

July 30

Join SecurityScorecard as a Senior Data Engineer to build scalable and reliable applications. Participate in all aspects of the software development lifecycle.

Airflow

Apache

AWS

Cyber Security

Docker

Jenkins

Kafka

Postgres

Python

Redis

Scala

SDLC

Spark

Terraform

July 29

Advancio is hiring a Data Scientist to extract insights and develop models for business growth.

AWS

Azure

Cloud

Google Cloud Platform

Hadoop

Node.js

Numpy

Pandas

Python

PyTorch

Scikit-Learn

Spark

SQL

Tableau

Tensorflow

July 28

Lead data engineering efforts on AI systems for energy management. Build scalable, reliable data platforms and pipelines.

🗣️🇷🇺 Russian Required

Airflow

AWS

Cloud

ETL

IoT

Kafka

Postgres

Python

Spark

SQL

Tableau

Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com