Note: Looking for strong Python, SQL (Big query), Pysprak and DBT (we can train if candidate is strong on other skills).

JD - Experience:

• Minimum of 7-8 years of experience in data engineering, with a focus on data architecture and pipeline development.
• Proven experience with cloud platforms (GCP) and big data technologies (e.g., Airflow, Spark, DBT,Databricks. BigQuery, GCP Servcies).
• Hands-on experience with ETL tools and processes.
• Strong SQL skills and experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).

Skills:

• Proficiency in programming languages such as Python
• Experience with data modeling, schema design, and data warehousing concepts.
• Familiarity with data lake architectures and best practices.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• Experience with OMS platforms and their data integration.
• Knowledge of data visualization tools (e.g., Tableau, Power BI).
• Understanding of machine learning and data analytics.
• Certification in cloud platforms (AWS Certified Data Analytics, Google Professional Data Engineer, etc.).

PySpark