expertise in tools like Informatica & Talend MDM Big data – Hadoop eco-system, Distributions like Cloudera/Hortonworks, Pig and HIVE Data processing frameworks – Spark & Sparkstreaming Hands-on experience with multiple databases like PostgreSQL, Snowflake, Oracle, MS SQL Server, NOSQL (HBase/Cassandra, MongoDB more »
designing, building, and optimising Big Data solutions to support the creation of highly scalable data stores with Big Data technologies such as Hadoop, Spark, Kafka, etc. Project experience in developing optimal and reliable ETL processes ingested from a wide variety of data sources both structured and unstructured and … AWS S3 or Google Cloud Platform. Ideally, you could also have… Project experience of message queueing and stream processing systems such as StreamSets, Spark-Streaming and Kafka. Project experience of data pipeline and workflow management tools. Exposure to any of the following technologies: Pega, Salesforce, RPA more »
Analytics in Azure Synapse Analytics, Azure Analysis Services Data Ingestion and Storage including Azure Data Factory, Azure Databricks, Azure Data Lake, Kafka and SparkStreaming, Azure EventHub/IoT Hub, and Azure Stream Analytics Experience with Object-oriented/object function scripting languages: Python preferred more »
and workflow management and their tools such as Airflow. Strong understanding of relational SQL and NoSQL databases, including MongoDB and stream-processing systems: Spark-Streaming, Kinesis etc. Ability to understand any scripting language and tools. Rewards & Benefits TCS is consistently voted a Top Employer in the more »
AWS services with the ability to demonstrate working on large engagements * Experience of AWS tools (e.g. Athena, Redshift, Glue, EMR) * Java, Scala, Python, Spark, SQL * Experience of developing enterprise grade ETL/ELT data pipelines. * Deep understanding of data manipulation/wrangling techniques * Demonstrable knowledge of applying Data … GCP DataProc or GCP Cloud Data Fusion. * NoSQL Databases. Dynamo DB/Neo4j/Elastic, Google Cloud Datastore. * Snowflake Data Warehouse/Platform * Streaming technologies and processing engines, Kinesis, Kafka, Pub/Sub and Spark Streaming. * Experience of working with CI/CD technologies, Git, Jenkins more »
