Job Location: India
Qualifications
- 3+ years of experience in a data engineering role
- 2+ years of experience with AWS and related services (e.g., EC2, S3, RDS, Lambda, IAM, Snowflake, EMR)
- Hands-on experience with ETL tools and techniques in AWS (i.e. Glue)
- Proficiency with a dialect of ANSI SQL
- Knowledge of and experience with RDBMS platforms, such as MS SQL Server, Oracle, DB2, MySQL, Postgres, SAP HANA, and Teradata
- Extensive experience in the IT industry with proven cloud experience
- Proven experience of working in and delivering enterprise solutions built on at least one of the major cloud providers like Amazon Web Services.
- Proven technology champion in working with relational, Data warehouses databases, query authoring (SQL) as well as working familiarity with a variety of databases. Experience/Knowledge in working with NoSQL databases and can create E2E pipelines.
- Highly Experienced in building and optimizing complex queries. Good with manipulating, processing and extracting value from large, disconnected datasets.
- Proven champion with in-depth knowledge of the scripting languages: Python, SQL, Spark-SQL/ PySpark.
- Practical knowledge of Kafka to build real-time streaming data pipelines and applications that adapt to the data streams.
- Very Good understanding in Data Foundation initiatives, like Modelling, Data Quality Management, Data Governance, Data Maturity Assessments and Data Strategy in support of the key business stakeholders.
- Experience with participating in projects in a highly collaborative, multi-discipline team environment
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