This is a Fulltime position for one of our clients. Client cannot sponsor any kind of work visa for this position.

Required Qualifications

• Experience working in Data engineering and ETL teams and on managing implementation projects that utilize big data, advanced analytics and machine learning technologies.
• Hands-on experience in building pipelines from variety of sources such as data warehouses and in-memory OLAP models, as well as experience in NoSQL/cloud.
• Strong understanding of data, Big Data, Relational databases, streaming and batch data processing.
• Strong experience building end-to-end data view with focus on integration.
• Demonstrated experience in teaching and/or mentoring professionals.
• Hands-on experience Developing, implement data solutions using technologies such as:
• Data Exploration and ETL: Alteryx, Talend, H2O, Informatica, Data Stage, Azure Data explorer, Azure Data Factory.
• Programming languages use (SQL, Spark, Python, R, Jupyter Notebooks, Java, Scala).
• Data Warehouse Solutions: Redshift, Snowflake, Postgres, Data Lake.
• Big Data technologies, Azure, AWS, Hadoop, Spark, Hive, Kafka, Flume, NoSQL stores (HBase, Cassandra, DynamoDB, MongoDB).
• Cloud storage: S3, GCS, ADLS, Blob.
• Data Visualization Solutions: MS Power BI, Looker, Tableau, Azure Streaming Analytics, Data Lake Analytics, Azure Time Series Insights, Azure Synapse Analytics.
• CI/CD and Code Management: Git, Maven, Docker , Jenkins, Azure Dev Ops.