YipitData
Senior Data Pipeline Engineer - Global Team (India) India Remote
YipitData, Snowflake, Arizona, United States, 85937
India Remote
About YipitData:
YipitData is the leading market research and analytics firm for the disruptive economy and recently raised up to $475M from The Carlyle Group at a valuation over $1B.
We analyze billions of alternative data points every day to provide accurate, detailed insights on ridesharing, e-commerce marketplaces, payments, and more. Our on-demand insights team uses proprietary technology to identify, license, clean, and analyze the data many of the worlds largest investment funds and corporations depend on.
For three years and counting, we have been recognized as one of
Incs Best Workplaces
. We are a fast-growing technology company backed by The Carlyle Group and Norwest Venture Partners. Our offices are located in NYC, Austin, Miami, Denver, Mountain View, Seattle ,
Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore. We cultivate a people-centric culture focused on mastery, ownership, and transparency. Why You Should Apply NOW: Youll be working with many strategic engineering leaders within the company. Youll report directly to the Director of Data Engineering. You will help build out our Data Engineering team presence in India. You will work with a Global team. Youll be challenged with a lot of big data problems. About The Role: We are seeking a highly skilled Senior Data Engineer to join our dynamic Data Engineering team. The ideal candidate possesses 6-8 years of data engineering experience. An excellent candidate should have a solid understanding of Spark and SQL, and have data pipeline experience. Hired individuals will play a crucial role in helping to build out our data engineering team to support our strategic pipelines and optimize for reliability, efficiency, and performance. Additionally, Data Engineering serves as the gold standard for all other YipitData analyst teams, building and maintaining the core pipelines and tooling that power our products. This high-impact, high-visibility team is instrumental to the success of our rapidly growing business. This is a unique opportunity to be the first hire in this team, with the potential to build and lead the team as their responsibilities expand. This is a hybrid opportunity based in India. During training and onboarding, we will expect several hours of overlap with US working hours.
Afterward, standard IST working hours are permitted with the exception of 1-2 days per week, when you will join meetings with the US team. Report directly to the Senior Manager of Data Engineering, who will provide significant, hands-on training on cutting-edge data tools and techniques. Build and maintain end-to-end data pipelines. Help with setting best practices for our data modeling and pipeline builds. Create documentation, architecture diagrams, and other training materials. Become an expert at solving complex data pipeline issues using PySpark and SQL. Collaborate with stakeholders to incorporate business logic into our central pipelines. Deeply learn Databricks, Spark, and other ETL toolings developed internally. You Are Likely To Succeed If: You hold a Bachelors or Masters degree in Computer Science, STEM, or a related technical discipline. You have 6+ years of experience as a Data Engineer or in other technical functions. You are excited about solving data challenges and learning new skills. You have a great understanding of working with data or building data pipelines. You are comfortable working with large-scale datasets using PySpark, Delta, and Databricks. You understand business needs and the rationale behind data transformations to ensure alignment with organizational goals and data strategy. You are eager to constantly learn new technologies. You are a self-starter who enjoys working collaboratively with stakeholders. You have exceptional verbal and written communication skills. Nice to have:
Experience with Airflow, dbt, Snowflake, or equivalent. What We Offer: Our compensation package includes comprehensive benefits, perks, and a competitive salary: We care about your personal life and we mean it. We offer vacation time, parental leave, team events, learning reimbursement, and more! Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer. Interested in building your career at YipitData? Get future opportunities sent straight to your email. Apply for this job
* indicates a required field First Name * Last Name * Preferred First Name Email * Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Please only submit a PDF version of your resume above. Submitting .doc, .pages, or other file types may lead to rendering/formatting errors. * Select... How did you hear about this job? (If through one of our current employees, please share their name and your relationship with them.) * Why are you interested in this role at YipitData? What about this job opportunity compels you? * Do you have minimum 6 years of experience in data engineering? * Select... How many years of Databricks and/or Snowflake experience do you have? * Select... How many years of Python, PySpark, and/or Spark experience do you have? * Select... Please rank the top 3 skill sets that you'd like to further develop at YipitData. * Why are you looking for a new opportunity at this time? * What is your minimum required yearly salary (in INR) to consider this position? * When is the earliest you can start this position? If you do not have a date in mind, please share with us what kind of notice you would need to give your current employer. * Please explain any employment gaps in your work history. If none, say N/A. * Please share more about your people management experience. How many people have you managed, for how long, and in what context? * Kindly share your LinkedIn profile with us! * A final step in the hiring process is for you to arrange reference calls with former managers, direct reports (for managerial roles), and others. * Select... YipitData is an equal-opportunity employer and seeks collaboration, innovation, and excellence through diversity and inclusion. Here is a set of voluntary demographic questions that are part of our Diversity and Inclusion initiatives. You may choose not to answer the questions below. If you do choose to answer, your responses will be used (in aggregate form only) to help us identify areas for improvement in our process. Your responses, or your choice to not respond, will not be associated with your specific application and will not in any way be used in the hiring decision. Select... Please specify the race/ethnicity you identify with (select any/all that apply): Asian Black or African American Hispanic / Latinx Middle Eastern or North African Pacific Islander or Native Hawaiian White Other I prefer not to say Do you identify as a member of the LGBTQIA+ community? Select... Do you identify as non-binary and/or transgender? Select... What are your pronouns? (select any/all that apply) He/Him She/Her They/Them Other I prefer not to say The Americans with Disabilities Act (ADA) is a federal civil rights law that prohibits discrimination against people with disabilities in everyday activities. Select... Do you identify as having lived or currently living with a disability? #J-18808-Ljbffr
Incs Best Workplaces
. We are a fast-growing technology company backed by The Carlyle Group and Norwest Venture Partners. Our offices are located in NYC, Austin, Miami, Denver, Mountain View, Seattle ,
Hong Kong, Shanghai, Beijing, Guangzhou, and Singapore. We cultivate a people-centric culture focused on mastery, ownership, and transparency. Why You Should Apply NOW: Youll be working with many strategic engineering leaders within the company. Youll report directly to the Director of Data Engineering. You will help build out our Data Engineering team presence in India. You will work with a Global team. Youll be challenged with a lot of big data problems. About The Role: We are seeking a highly skilled Senior Data Engineer to join our dynamic Data Engineering team. The ideal candidate possesses 6-8 years of data engineering experience. An excellent candidate should have a solid understanding of Spark and SQL, and have data pipeline experience. Hired individuals will play a crucial role in helping to build out our data engineering team to support our strategic pipelines and optimize for reliability, efficiency, and performance. Additionally, Data Engineering serves as the gold standard for all other YipitData analyst teams, building and maintaining the core pipelines and tooling that power our products. This high-impact, high-visibility team is instrumental to the success of our rapidly growing business. This is a unique opportunity to be the first hire in this team, with the potential to build and lead the team as their responsibilities expand. This is a hybrid opportunity based in India. During training and onboarding, we will expect several hours of overlap with US working hours.
Afterward, standard IST working hours are permitted with the exception of 1-2 days per week, when you will join meetings with the US team. Report directly to the Senior Manager of Data Engineering, who will provide significant, hands-on training on cutting-edge data tools and techniques. Build and maintain end-to-end data pipelines. Help with setting best practices for our data modeling and pipeline builds. Create documentation, architecture diagrams, and other training materials. Become an expert at solving complex data pipeline issues using PySpark and SQL. Collaborate with stakeholders to incorporate business logic into our central pipelines. Deeply learn Databricks, Spark, and other ETL toolings developed internally. You Are Likely To Succeed If: You hold a Bachelors or Masters degree in Computer Science, STEM, or a related technical discipline. You have 6+ years of experience as a Data Engineer or in other technical functions. You are excited about solving data challenges and learning new skills. You have a great understanding of working with data or building data pipelines. You are comfortable working with large-scale datasets using PySpark, Delta, and Databricks. You understand business needs and the rationale behind data transformations to ensure alignment with organizational goals and data strategy. You are eager to constantly learn new technologies. You are a self-starter who enjoys working collaboratively with stakeholders. You have exceptional verbal and written communication skills. Nice to have:
Experience with Airflow, dbt, Snowflake, or equivalent. What We Offer: Our compensation package includes comprehensive benefits, perks, and a competitive salary: We care about your personal life and we mean it. We offer vacation time, parental leave, team events, learning reimbursement, and more! Your growth at YipitData is determined by the impact that you are making, not by tenure, unnecessary facetime, or office politics. Everyone at YipitData is empowered to learn, self-improve, and master their skills in an environment focused on ownership, respect, and trust. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal-opportunity employer. Interested in building your career at YipitData? Get future opportunities sent straight to your email. Apply for this job
* indicates a required field First Name * Last Name * Preferred First Name Email * Phone Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Please only submit a PDF version of your resume above. Submitting .doc, .pages, or other file types may lead to rendering/formatting errors. * Select... How did you hear about this job? (If through one of our current employees, please share their name and your relationship with them.) * Why are you interested in this role at YipitData? What about this job opportunity compels you? * Do you have minimum 6 years of experience in data engineering? * Select... How many years of Databricks and/or Snowflake experience do you have? * Select... How many years of Python, PySpark, and/or Spark experience do you have? * Select... Please rank the top 3 skill sets that you'd like to further develop at YipitData. * Why are you looking for a new opportunity at this time? * What is your minimum required yearly salary (in INR) to consider this position? * When is the earliest you can start this position? If you do not have a date in mind, please share with us what kind of notice you would need to give your current employer. * Please explain any employment gaps in your work history. If none, say N/A. * Please share more about your people management experience. How many people have you managed, for how long, and in what context? * Kindly share your LinkedIn profile with us! * A final step in the hiring process is for you to arrange reference calls with former managers, direct reports (for managerial roles), and others. * Select... YipitData is an equal-opportunity employer and seeks collaboration, innovation, and excellence through diversity and inclusion. Here is a set of voluntary demographic questions that are part of our Diversity and Inclusion initiatives. You may choose not to answer the questions below. If you do choose to answer, your responses will be used (in aggregate form only) to help us identify areas for improvement in our process. Your responses, or your choice to not respond, will not be associated with your specific application and will not in any way be used in the hiring decision. Select... Please specify the race/ethnicity you identify with (select any/all that apply): Asian Black or African American Hispanic / Latinx Middle Eastern or North African Pacific Islander or Native Hawaiian White Other I prefer not to say Do you identify as a member of the LGBTQIA+ community? Select... Do you identify as non-binary and/or transgender? Select... What are your pronouns? (select any/all that apply) He/Him She/Her They/Them Other I prefer not to say The Americans with Disabilities Act (ADA) is a federal civil rights law that prohibits discrimination against people with disabilities in everyday activities. Select... Do you identify as having lived or currently living with a disability? #J-18808-Ljbffr