Lead Software Engineer - Bigdata

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We are looking for an experienced Senior Big Data Developer to lead our data engineering and migration initiatives. In this role, you will architect, develop, and optimize large-scale data processing and analytics solutions, with a strong focus on modernizing our Big Data ecosystem into Snowflake. You will work with advanced technologies to deliver high‑quality pipelines for data ingestion, transformation, storage, and processing. Your expertise in both traditional Big Data frameworks and Snowflake will play a key role in shaping our data modernization strategy while ensuring the performance, reliability, and scalability of our next‑generation data platform.
Lead the migration of existing Big Data (Spark/Hadoop/Hive) workloads to Snowflake Lakehouse, ensuring scalable, high-quality solutions.

• Provide technical leadership in data modeling, ELT/ETL design, performance tuning, and Snowflake best practices.
• Drive analysis, refactoring, and optimization of legacy code to align with Snowflake architecture.
• Oversee testing, validation, debugging, and automation of migrated pipelines.
• Collaborate closely with cross‑functional and distributed teams, representing the engineering team as the SPOC for status, risks, and delivery updates.
• Guide DevOps activities including CI/CD, environment setup, and release readiness.
• Mentor junior engineers, enforce coding standards, and ensure adherence to engineering guidelines.
• Participate in Agile ceremonies and ensure high-quality, defect‑free sprint deliveries.

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Core Experience

• 7–9 years of experience in Big Data engineering, with strong hands-on expertise in Snowflake (2+ years).
• Solid understanding of Snowflake components such as:
  • Virtual Warehouses, Micro-Partitioning, Clustering
  • Snowpipe, Streams, Tasks
  • Snowpark (Python/Scala) for advanced transformations
• Strong experience in analyzing existing Big Data ecosystems (Spark/Hadoop/Hive) and designing scalable Snowflake-based solutions.

• High proficiency in SQL and at least one language: Python or Scala.
• Experience building and optimizing scalable ELT/ETL pipelines on Snowflake.
• Knowledge of DBT (nice-to-have) and modular transformation frameworks.
• Strong understanding of data modeling, data integration patterns, and distributed computing fundamentals.
• Experience with cloud environments, preferably Azure (ADF, Databricks, Synapse etc.).
• Proven ability to troubleshoot performance issues across pipelines, queries, and compute layers.

• Prior experience mentoring engineers or leading small technical teams.
• Strong communication and stakeholder management skills, including ability to coordinate with geographically distributed teams.
• Analytical and problem-solving mindset with ability to design solutions in complex data environments.

We are committed to creating a diverse environment and are proud to be an equal opportunity employer. All qualified applicants receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status

At Société Générale, we are convinced that people are drivers of change, and that the world of tomorrow will be shaped by all their initiatives, from the smallest to the most ambitious. Whether you’re joining us for a period of months, years or your entire career, together we can have a positive impact on the future. Creating, daring, innovating, and taking action are part of our DNA. If you too want to be directly involved, grow in a stimulating and caring environment, feel useful on a daily basis and develop or strengthen your expertise, you will feel right at home with us!

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