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Lead Consultant - Data Engineer

Lovelytics

Full-time
USA
engineer
big data
aws
artificial intelligence
architecture
Apply for this position

Lovelytics is a Databricks-focused data and AI consulting firm specializing in artificial intelligence, data, and analytics solutions. Since partnering with Databricks in 2019, Lovelytics has experienced exponential growth, growing from 50 people to over 340 over the past 3 years. Lovelytics is a trusted partner for many of the most high-profile enterprise clients in Media & Entertainment, Manufacturing, Retail & CPG, Healthcare & Life Sciences, and Financial Services. Lovelytics is seekinga Sr. Data Engineer (Lead Consultant) with experience delivering strategic Databricks client engagements to join our Data & AI practice!

This Lead Consultantwill play a key role in delivering on client engagements related to data warehousing, ETL development, data integrations, and data modeling. This is a client-facing role, focused on using and migrating to our partner technologies; Databricks, AWS, and Azure to name a few. In addition to the technical capabilities for this role, we are looking for someone who wants to work in a collaborative, dynamic, and inclusive environment and has a passion for bringing meaning to data.

This role is open to remote candidates in the US and Ontario, Canada This role is not open for work sponsorship at this time.

Primary Responsibilities:

  • Utilize consulting and technical skills to be able to work in a client-facing project environment independently.

  • Be responsible for your ownexecution 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, you'll become involved in the project planning and solution stages of engagements as well.

  • Designand implementcomplex 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.

  • Contributeto real-time data processing solutions and managed streaming data.

  • Implementsecurity and compliance measures for data pipelines.

  • Designand implementversion control and branching strategies andintegratethem into CI/CD for promoting and testing in higherenvironments.

Our Ideal Candidate's Skills and Experiences:

  • B.S. in Computer Science or equivalent

  • 3-5 years' experiencein data engineering and big data. At least 2 yearsworking directly with clients and external stakeholders.

  • Extensiveknowledge of data warehousing concepts andhands-on experience deploying pipelines using Databricks **A must

  • Data modeling and database design skills and knowledgeof 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

What We Promise You:

  • 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

Lovelytics is an Equal Opportunity Employer. This means you dont have to worry about whether your application process will be fair. We consider all applicants without regard to race, color, religion, age, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, veteran status, or disability.

Apply for this position
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About the job

Full-time
USA
Posted 5 hours ago
engineer
big data
aws
artificial intelligence
architecture

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Lead Consultant - Data Engineer

Lovelytics

Lovelytics is a Databricks-focused data and AI consulting firm specializing in artificial intelligence, data, and analytics solutions. Since partnering with Databricks in 2019, Lovelytics has experienced exponential growth, growing from 50 people to over 340 over the past 3 years. Lovelytics is a trusted partner for many of the most high-profile enterprise clients in Media & Entertainment, Manufacturing, Retail & CPG, Healthcare & Life Sciences, and Financial Services. Lovelytics is seekinga Sr. Data Engineer (Lead Consultant) with experience delivering strategic Databricks client engagements to join our Data & AI practice!

This Lead Consultantwill play a key role in delivering on client engagements related to data warehousing, ETL development, data integrations, and data modeling. This is a client-facing role, focused on using and migrating to our partner technologies; Databricks, AWS, and Azure to name a few. In addition to the technical capabilities for this role, we are looking for someone who wants to work in a collaborative, dynamic, and inclusive environment and has a passion for bringing meaning to data.

This role is open to remote candidates in the US and Ontario, Canada This role is not open for work sponsorship at this time.

Primary Responsibilities:

  • Utilize consulting and technical skills to be able to work in a client-facing project environment independently.

  • Be responsible for your ownexecution 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, you'll become involved in the project planning and solution stages of engagements as well.

  • Designand implementcomplex 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.

  • Contributeto real-time data processing solutions and managed streaming data.

  • Implementsecurity and compliance measures for data pipelines.

  • Designand implementversion control and branching strategies andintegratethem into CI/CD for promoting and testing in higherenvironments.

Our Ideal Candidate's Skills and Experiences:

  • B.S. in Computer Science or equivalent

  • 3-5 years' experiencein data engineering and big data. At least 2 yearsworking directly with clients and external stakeholders.

  • Extensiveknowledge of data warehousing concepts andhands-on experience deploying pipelines using Databricks **A must

  • Data modeling and database design skills and knowledgeof 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

What We Promise You:

  • 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

Lovelytics is an Equal Opportunity Employer. This means you dont have to worry about whether your application process will be fair. We consider all applicants without regard to race, color, religion, age, ancestry, ethnicity, gender, gender identity, gender expression, sexual orientation, veteran status, or disability.

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