Job Description
Location : Bangalore, Chennai, Hyderabad, Pune, Kolkata
6+ Years Experience in the Google Cloud on Big Data/ Analytics/ Data Lake / Datawarehouse DataProc , DataPrep, Data Plex , Cloud Bigtable , Dataflow , Cloud Composer , BigQuery, Databricks, Kafka, Nifi, CDC processing, Snowflake, Datastore , Firestore, Docker, App Engine , Spark, Cloud Data Fusion, Apigee API Management, Kafka, Attunity, Golden Gate, Map Reduce, Hadoop, Hive, HBase, Cassandra, PySpark, Flume, Hive, Impala
Must Have :
- Design & Implement ETL/data pipeline and Data Lake/ Datawarehouse in Google Cloud
- Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using Big Query, DataProc, Data Prep , Cloud Composer , Dataflow services/technologies.
- 10+ years of total experience and at least 3+ years of expertise in Cloud data warehouse technologies on Google Cloud data platform covering Big Query, DataProc, Data Prep, Cloud Composer , Dataflow, Databricks etc.
- Extensive hands-on experience implementing data ingestion and data processing using Google Cloud services: DataProc , Data Prep, Cloud Bigtable , Dataflow , Cloud Composer , Big Query, Databricks, Kafka, Nifi, CDC processing, Snowflake, Datastore , Firestore, Docker, App Engine , Spark, Cloud Data Fusion, Apigee API Management, etc.
- Familiarity with the Technology stack available in the industry for data management, data ingestion, capture, processing, and curation: Kafka, Attunity, Golden Gate , Data Plex , Map Reduce, Hadoop, Hive, HBase, Cassandra, PySpark, Flume, Hive, Impala, etc.
- Design and Implement analytics solution that utilize the ETL/data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
- Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
- Create data tools for analytics and data scientist team members that assist them in building and optimizing products.
Job Classification
Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: Software Development
Role: Data Engineer
Employement Type: Full time
Contact Details:
Company: Tata Consultancy
Location(s): Hyderabad
Keyskills:
Big Query
Composer
Pyspark
Dataproc