Tbwa Chiat/Day Inc
Senior Software Engineer (Data) San Francisco Bay Area, New York City
Tbwa Chiat/Day Inc, Bridgewater, New Jersey, United States,
FalconX is a pioneering team of operators, investors, and builders committed to revolutionizing institutional access to the crypto markets. Operating at the intersection of traditional finance and cutting-edge technology, FalconX addresses the industry's foremost challenges: Navigating the digital asset market can be complex and fragmented, with limited products and services that support trading strategies, structures, and liquidity found in conventional financial markets. As a comprehensive solution for all digital asset strategies from start to scale, FalconX operates as the connective tissue empowering clients with seamless navigation through the ever-evolving cryptocurrency landscape.
FalconX’s Data Infra team builds and operates systems to centralize internal and third-party data, making it easy for engineering, data science, business intelligence, accounting, and compliance teams to transform and access that data for analytics and machine learning, and power end-user experiences. As a Data Engineer on the team, you will contribute to the scalable Batch and Streaming ETL pipelines, DWH design and Data modeling, and Data Governance initiatives tools and applications that make that data available to other teams and systems.
What you’ll be working on:
Provide technical and thought leadership for Data Engineering and Business Intelligence Create, implement and operate the strategy for robust and scalable data pipelines for business intelligence and machine learning Develop and maintain core data framework and key infrastructures Data Warehouse design and data modeling for efficient and cost-effective reporting Define and implement Data Governance processes related to data discovery, lineage, access control, and quality assurance. Skills you'll need:
Degree in Computer Science, a related field, or equivalent professional experience 3+ years of strong experience with data transformation & ETL on large data sets using open technologies like Spark, SQL, and Python 3+ years of complex SQL with strong knowledge of SQL optimization and understanding of logical & physical execution plans You have at least 1 year working in AWS environment and should be familiar with modern web technologies like AWS cloud, MySQL database, Redis caching, messaging tools like Kafka/SQS, etc. Experience in advanced Data Lake, Data Warehouse concepts & Data Modeling experience (i.e. Relational, Dimensional, internet-scale logs) Knowledge of Python, Spark (Batch/Streaming), SparkSQL, and PySpark Proficient in at least one of the following Object-oriented programming languages -- Python / Java / C++ Effective craftsmanship in building, testing, and optimizing ETL/feature/metric pipelines Experience with Business Requirements definition and management, structured analysis, process design, use case documentation A data-oriented mindset Location:
San Mateo Nice to haves:
Experience with AWS, and especially RDS, MSK, EMR, S3, Glue, Kinesis, etc. Prior experience with Databricks, Snowflake, Airflow, and Delta Lake Base pay for this role is expected to be between $156,000 and $224,000 USD. This expected base pay range is based on information at the time this post was generated. This role will also be eligible for other forms of compensation such as a performance-linked bonus, equity, and a competitive benefits package. Actual compensation for a successful candidate will be determined based on a number of factors such as skillset, experience, and qualifications. Inclusivity Statement
FalconX is committed to building a diverse, inclusive, equitable, and safe workspace for all people. Our roles are intended for people from all walks of life. We encourage all those interested in applying to our organization to submit an application regardless if you are missing some of the listed background requirements, skills, or experiences! As part of our commitment to inclusivity, FalconX would like to acknowledge that the EEOC survey has limited potential responses that you can select. For legal reasons, FalconX must use this language to align with federal requirements; however, we want to ensure that you are able to provide a response to our own voluntary survey questions about your identity that best aligns with your most true self. FalconX is an equal opportunity employer and will not discriminate against an applicant or employee based on race, color, religion, national origin, ancestry, ethnicity, sex (including gender, pregnancy, sexual orientation, and gender identity), age, physical or mental disability, veteran or military status, genetic information, citizenship, or any other legally-recognized protected basis under federal, state, or local law.
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Provide technical and thought leadership for Data Engineering and Business Intelligence Create, implement and operate the strategy for robust and scalable data pipelines for business intelligence and machine learning Develop and maintain core data framework and key infrastructures Data Warehouse design and data modeling for efficient and cost-effective reporting Define and implement Data Governance processes related to data discovery, lineage, access control, and quality assurance. Skills you'll need:
Degree in Computer Science, a related field, or equivalent professional experience 3+ years of strong experience with data transformation & ETL on large data sets using open technologies like Spark, SQL, and Python 3+ years of complex SQL with strong knowledge of SQL optimization and understanding of logical & physical execution plans You have at least 1 year working in AWS environment and should be familiar with modern web technologies like AWS cloud, MySQL database, Redis caching, messaging tools like Kafka/SQS, etc. Experience in advanced Data Lake, Data Warehouse concepts & Data Modeling experience (i.e. Relational, Dimensional, internet-scale logs) Knowledge of Python, Spark (Batch/Streaming), SparkSQL, and PySpark Proficient in at least one of the following Object-oriented programming languages -- Python / Java / C++ Effective craftsmanship in building, testing, and optimizing ETL/feature/metric pipelines Experience with Business Requirements definition and management, structured analysis, process design, use case documentation A data-oriented mindset Location:
San Mateo Nice to haves:
Experience with AWS, and especially RDS, MSK, EMR, S3, Glue, Kinesis, etc. Prior experience with Databricks, Snowflake, Airflow, and Delta Lake Base pay for this role is expected to be between $156,000 and $224,000 USD. This expected base pay range is based on information at the time this post was generated. This role will also be eligible for other forms of compensation such as a performance-linked bonus, equity, and a competitive benefits package. Actual compensation for a successful candidate will be determined based on a number of factors such as skillset, experience, and qualifications. Inclusivity Statement
FalconX is committed to building a diverse, inclusive, equitable, and safe workspace for all people. Our roles are intended for people from all walks of life. We encourage all those interested in applying to our organization to submit an application regardless if you are missing some of the listed background requirements, skills, or experiences! As part of our commitment to inclusivity, FalconX would like to acknowledge that the EEOC survey has limited potential responses that you can select. For legal reasons, FalconX must use this language to align with federal requirements; however, we want to ensure that you are able to provide a response to our own voluntary survey questions about your identity that best aligns with your most true self. FalconX is an equal opportunity employer and will not discriminate against an applicant or employee based on race, color, religion, national origin, ancestry, ethnicity, sex (including gender, pregnancy, sexual orientation, and gender identity), age, physical or mental disability, veteran or military status, genetic information, citizenship, or any other legally-recognized protected basis under federal, state, or local law.
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