Senior Consultant - Data Engineer
Lovelytics is seekingan ambitious data engineer who is comfortable working in a client-facing role, to join our Data & AI team and work on strategic Databricks and other data engineering projects.
This Level 2 will primarily focus on participating in engagements with clients related to data warehousing, ETL development, data integrations, and data modeling.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 Location: This role is open to remote candidates in the US and Toronto, Canada. This role is not eligible for candidates requiring sponsorship in order to work in the US.
Primary Responsibilities:
Utilize consulting and technical skills to be able to work in a client-facing project environment
Be responsible for the execution of client engagements as assigned and under the supervision of the engagement lead
Collaborate with other team members to successfully deliver on projects
Work effectively and directly with both internal and client and/or partner teams
Supportdata integration efforts using cloud services.
DeliverETL/ELT pipelines for small-scale projects independently.
Actively contributed to data warehousing initiatives.
Apply your skills withDatabricks, using Python, and big data streaming to pioneer client technologies and data.
Our Ideal Candidate's Skills and Experiences:
B.S. in Computer Science or equivalent
2-3yrs' experience in data engineering and big data in a professional setting. Preferably with1 year of working directly with clients and external stakeholders.
Extensiveknowledge of data warehousing concepts andhands-on experience deploying pipelines using Databricks and/or Spark a MUST
Proficiency in programming languages: Writing and debugging Python, SQL, and possibly Scala code.
Basic data modeling and database design skills and knowledgeof version control
Excellent verbal and written communication skills
Databricks certification a plus
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.
Senior Consultant - Data Engineer
Lovelytics is seekingan ambitious data engineer who is comfortable working in a client-facing role, to join our Data & AI team and work on strategic Databricks and other data engineering projects.
This Level 2 will primarily focus on participating in engagements with clients related to data warehousing, ETL development, data integrations, and data modeling.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 Location: This role is open to remote candidates in the US and Toronto, Canada. This role is not eligible for candidates requiring sponsorship in order to work in the US.
Primary Responsibilities:
Utilize consulting and technical skills to be able to work in a client-facing project environment
Be responsible for the execution of client engagements as assigned and under the supervision of the engagement lead
Collaborate with other team members to successfully deliver on projects
Work effectively and directly with both internal and client and/or partner teams
Supportdata integration efforts using cloud services.
DeliverETL/ELT pipelines for small-scale projects independently.
Actively contributed to data warehousing initiatives.
Apply your skills withDatabricks, using Python, and big data streaming to pioneer client technologies and data.
Our Ideal Candidate's Skills and Experiences:
B.S. in Computer Science or equivalent
2-3yrs' experience in data engineering and big data in a professional setting. Preferably with1 year of working directly with clients and external stakeholders.
Extensiveknowledge of data warehousing concepts andhands-on experience deploying pipelines using Databricks and/or Spark a MUST
Proficiency in programming languages: Writing and debugging Python, SQL, and possibly Scala code.
Basic data modeling and database design skills and knowledgeof version control
Excellent verbal and written communication skills
Databricks certification a plus
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.