MathCo - Lead Data Engineer - ETL/Scala

Job Description

As a Lead Data Engineer, you will be responsible for: Leading a team of talented data engineers responsible for designing, building, and maintaining scalable data pipelines and infrastructure. Work closely with cross-functional teams to ensure client data systems meet the highest standards of quality and performance. Lead, mentor, and develop a team of data engineers, fostering a collaborative and inclusive team environment. Conduct regular performance reviews, provide feedback, and set goals for team members. Identify and address skill gaps, and provide opportunities for professional development. Plan, execute, and deliver data engineering projects on time and within scope. Coordinate with stakeholders to gather requirements, set priorities, and define project timelines. Ensure projects align with overall business objectives and data strategy. Oversee the design, development, and maintenance of data pipelines, ETL processes, and data warehouse. Ensure data quality, integrity, and security across all data engineering projects. Identify opportunities for process improvements and drive initiatives to enhance the efficiency and effectiveness of data operations. Has strong conceptual understanding of Data Warehousing and ETL, Data Governance and Security, Cloud Computing, and Batch & Real Time data processing. Ability to build/drive reusable frameworks that can drive efficiency of the overall data system. Has executed and lead multiple projects including on streaming, batch, large data pipelines, etc. Manages conversation with the client stakeholders to understand the requirement and translate it into technical outcomes. Required Tech Stack Has strong execution knowledge of Data Modeling, Databases in general (SQL and NoSQL), software development lifecycle and practices, unit testing, functional programming, etc. Working knowledge of an ETL and/or orchestration tools like IICS, Metallion, Airflow, Azure Data Factory, AWS Glue, GCP Composer, etc. Working knowledge of one or more Data Warehouse like Snowflake, Redshift, Hive, Big Query, etc. Proficient in Spark and can optimize Spark jobs with ease. Proficient in at least one programming language used in data engineering, such as Python (Non-negotiable) and Scala/Rust/Java. Understanding of Medallion architecture pattern. Has strong SQL knowledge along with optimization skills. Required Non-Tech Stack Strong problem-solving skills with an ability to assess the financial impact of decisions, both in running the delivery team and delivering solutions to clients. Proficient in written and verbal communication and able to hold conversations with mid-management-level clients. Ability to recognize pragmatic alternatives vis-- -vis a perfect solution and get the delivery teams on board to pursue them, balancing time priorities with potential business impact. Strong people skills, including conflict resolution, empathy, communication, listening, and negotiation. Shows proficiency in providing technical guidance and provide leadership and mentorship to the delivery team. Self-driven with a strong sense of ownership. (ref:hirist.tech) Show more Show less