Software Engineering Lead

Software Engineering Lead About the Role As a Software Engineering Lead, you will guide and support a team of Software Engineers while also contributing hands-on to complex systems and applications. You will help shape project plans, schedules, and development methodologies, ensuring the team s work aligns with best practices. This role includes leadership responsibilities and opportunities for mentoring others. Expertise in PySpark and cloud development (Databricks and Azure) is highly valued. The Senior Data Engineer will join the LNRS-Mumbai team to contribute to the Brightmine Data Platform project. Responsibilities Provide leadership, guidance, and vision to technology squads, including software engineers, testers, and business analysts. Support and mentor team members of diverse backgrounds, including interns and contractors, to foster successful product delivery. Collaborate closely with peers in development, product, and project leadership to ensure timely completion and delivery of software components and related solutions. Act as a subject matter expert within your team and contribute to hands-on development for complex systems and applications. Participate in project planning and scheduling, uphold software development best practices, and help develop cross-functional solutions using Azure, Databricks, and Snowflake. Work together with system architects, development teams, business analysts, and end-users to translate requirements into effective technical solutions. Requirements Experience with Apache Spark, Python, Databricks, SQL/NoSQL, and preferably Azure. Proficiency in SQL and Unix, with understanding of Data Manipulation Language (DML) and ETL concepts. Experience with data pre-processing, modeling, profiling, and ETL tools such as Azure Data Factory or other Big Data platforms. Python skills are important, regardless of experience with specific ETL tools. Ability to work with cloud technologies, ideally Azure and PySpark, with experience in cloud-based tools including Databricks and Data Factory, or similar solutions. Familiarity with PySpark, basic Terraform, and software development methodologies such as Agile or Waterfall. Strong analytical, communication, and problem-solving skills. Willingness and aptitude to learn new technologies and processes . Demonstrated ability to support end-to-end development and uphold code review standards and best practices.