Description :

Roles and Responsibilities :

- Minimum 5 years of overall experience in data engineering and 2+ years leading a team as team lead and doing project management.

- Experience working with a global team and remote clients.

- Hands on experience in building data pipelines on various infrastructures.

- Knowledge of statistical and machine learning techniques. Hands on experience in integrating machine learning in data pipelines.

- Ability to work hands-on with the data engineers in the team in design and development of the solution using the relevant big data technologies and data warehouse concepts Strong knowledge of advanced SQL, data warehousing concepts, DataMart designing.

- Have strong experience in modern data platform components such as Spark, Python, etc.

- Experience with setting up and maintaining Data warehouse (Google BigQuery, Redshift, Snowflake) and Data Lakes (Azure, AWS S3 etc.) for an organization.

- Experience in building data pipeline with AWS Glue, Azure Data Factory and Google Dataflow.

- Experience with relational SQL and NoSQL databases, including Postgres and Cassandra / MongoDB.

- Strong problem solving and communication skills.

Required Skills :

- SQL, Python, Pyspark, AWS, Azure, ADF, Databricks

- Data Modelling/ Snowflake Additional

- Good Communication