Data Engineer

Proven experience with traditional data warehouse and ETL systems (Informatica is a strong plus) Hands-on expertise with PySpark and Python Experience working with Databricks Proficiency in cloud platforms, preferably Microsoft Azure Experience in large-scale data migration projects Familiarity with CI/CD practices in data engineering Start Date: ASAP /...

What We're Looking For As a Senior Data Engineer, you will play a crucial role in building and maintaining the foundation of our data ecosystem. You’ll work alongside data engineers, analysts, and product teams to create robust, scalable, and high-performance data pipelines and models. Your work will directly impact how we deliver insights, power product...

- 5+ years of industry experience in product-centric full stack engineering roles;- Very strong software engineering background with deep expertise in Python/Typescript.- Hands-on LLM product patterns (prompting, tool use, routing, evals, regression testing);Experience of working with Agents & LLMs:- LangGraph/LangChain (know its limitations & trade-offs);-...

Bachelor’s/Masters degree in Computer Science, Engineering, or a related field. 3+ years of working experience in the field of Data & Analytics, preferably in the CPG industry 3+ years of proficient coding experience with Python for data engineering, including SQL and PySpark (DataFrame API, Spark SQL, MLlib), with hands-on experience in various databases...

You have 3–4 years of experience as a software or data engineer, and have hands-on experience building and deploying data pipelines or analytics workloads in cloud environments. You’re proficient in Python and SQL, developing production-ready code for internal libraries, data pipelines, and automation. You have excellent communication skills, are fluent...

Strong understanding of data security principles, cryptography, and privacy-enhancing technologies. Experience with securing AI/ML environments, including MLOps platforms and model registries. Familiarity with cloud security (Azure, AWS, GCP) and data protection tools (e.g., DLP, CASB). Knowledge of AI-specific threats and mitigation techniques (e.g.,...

Bachelor/Master’s degree in Computer Science, Engineering, or a related field. 5+ years of working experience in the field of Data & Analytics, preferably in the CPG industry 5+ years of proficient coding experience with Python for data engineering, including SQL and PySpark (DataFrame API, Spark SQL, MLlib), with hands-on experience in various databases...

5+ years of working experience in the field of Data & Analytics, preferably in the CPG industry 5+ years of proficient coding experience with Python for data engineering, including SQL and PySpark (DataFrame API, Spark SQL, MLlib), with hands-on experience in various databases (SQL/NoSQL), key libraries (e.g., pandas, SQLAlchemy), parallel processing, and...

You’re ideal for this role if you have: Strong proficiency in SQL with experience optimizing complex queries Hands-on experience with Google Cloud Platform (BigQuery, Dataflow, Composer) Solid programming skills in Python and familiarity with Git Experience in building and maintaining cloud-based data solutions Understanding of data governance principles...

Minimum of 5 years of commercial experience as a Python Engineer (including Django). Hands-on practice with API, and microservices. Knowledge of PostgreSQL. Proficiency in FastAPINice to have: At least basic knowledge of Google Cloud Platform (GCP). Familiarity with container orchestration, preferably Kubernetes. Knowledge of Golang. Experience with Data...