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Data Engineer/Senior Data Engineer
4 months ago
Openings for the role of data Engineer/ Sr Data Engineer
Must Have :
- 5-7+ years of extensive experience in a Data Engineer role
- Solid experience with Python, PySpark, and SQL databases
- Experience with Azure, Databricks, and GCP
- Extensive knowledge of the full software development life cycle, incorporating industry best practices
- Experience with ETL, data inflow and outflow
- Demonstrated expertise in building and optimizing data pipelines to and from data warehouses
- Proven experience in supporting and working with cross-functional teams in a dynamic environment
- Experience in evaluating, prioritizing and developing product features
- Experience working in a start-up environment
Responsibilities :
PySpark Programming: You will be expected to hit the ground running with developing and maintaining transformation pipelines using PySpark on Databricks.
Cloud Technology: You should have experience with cloud platforms, particularly Databricks and Google Cloud Platform (GCP). Experience with cloud migration projects, especially moving from SQL to Spark, will be advantageous.
Data Orchestration: You will handle data orchestration using Azure Data Factory (ADF).
SQL Expertise: You should have extensive experience with SQL-Server and SQL Server Integration Services (SSIS).
Data Modelling: You will be responsible for data modelling to support our business needs.
Agile Development: You will work within an agile development framework to deliver projects on time.
ETL Processes: Your experience in ETL processes and working in a cloud environment will be crucial for this role. Familiarity with Fivetran will be a plus.
Data Pipelines: You should have a strong background in creating data pipelines and writing Spark and PySpark code.
Finance Data: As the key driver for this role, you must have a strong understanding of financial data.
Nice-to-have:
- Knowledge of cookies, tracking, and compliance
- Experience in a finance-based engineering role or a good understanding of the finance functions
- Understanding of Machine Learning algorithms and Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or a related field.