Lead Data Engineer - Scala/Spark

Description :

Responsibilities :

- 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.

Qualifications :

- 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, Medallion, 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 ATLEAST 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

- 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 with 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.