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