We are looking for a Senior Data Engineer with at least 6+ years of development experience as Data Engineer.
Location : Pune (On-Site)
Job Description :
- Responsible for design, development, optimization, and maintenance of robust and scalable data engineering pipelines.
- Ensure data and analytical solutions meet Business Requirements and best practices.
- Collaborate with data architects, data scientists, and other stakeholders to provide scalable analytical solutions for the organization.
- Continuously improve and optimize existing ETL processes, adhering to data privacy and best practices.
- Document all data engineering processes and architecture.
- Development, maintenance, and enhancement of Data Pipelines (ETL / ELT) and processes with thorough knowledge of star / snowflake schemas
- Developing complex SQL queries and SQL optimization
- Development experience must be full Life Cycle experience, including business requirements gathering, data sourcing, testing / data reconciliation, and deployment within Business
- Intelligence / Data Warehousing Architecture.
- Designing and implementing data security
- Monitoring and optimizing data storage and data processing
- Use of Object function / object-oriented scripting languages, including Scala, C++, Java, and Python
- Cloud data warehouse and data lake platforms (e.g., Snowflake, Databricks, Redshift, BigQuery, MS Synapse, MS ADLS, Apache Haddop, etc.)
- Demonstrated understanding and experience using software and tools including ETL, relational
- SQL and NoSQL databases, big data tools like Kafka, Spark, and Hadoop
- Experience supporting and working with cross-functional teams in a dynamic environment.
- Understanding of data science concepts
- Familiarity with AI / ML frameworks and libraries