Roles & responsibilities Developing Modern Data Warehouse solutions using Databricks and AWS/ Azure Stack Ability to provide solutions that are forward-thinking in data engineering and analytics space Collaborating with DW/BI leads to understanding new ETL pipeline
Role: Senior Databricks Engineer / Databricks Technical Lead/ Data Architect Experience: 5-12 years Location: Pune About Tredence: Tredence focuses on last-mile delivery of powerful insights into profitable actions by uniting its strengths in business analytics, data
Exp: 14-18 yrs Notice: Immediate to 30 Days Skills Required: at least 3 + years’ experience in Architecture Role: GCP Architect Primary Roles and Responsibilities: ? Selecting and integrating any Big Data tools and frameworks required
Job Title: Data Engineer Duration: 6 months Location: Bangalore Key Responsibilities Design, develop, and maintain scalable Big Data solutions using Hadoop ecosystem technologies such as HDFS, MapReduce, Hive, Pig, HBase, Sqoop, Flume, and Cassandra. Write, optimize, and
Designation: Senior Manager (Databricks Architect) Location: Bengaluru, Chennai, Kolkata, Gurugram, Pune and Hyderabad . Profile Summary : We are seeking an experienced professional who apart from the required mathematical and statistical expertise also possesses the natural
Xtelify Ltd || Senior Data Engineer Xtelify Ltd is looking for a Data Engineer to join the Data Platform team who can help develop and deploy data pipelines at a huge scale of ~5B daily events
Candidate should be able to: Coordinate Development, Integration, and Production deployments. Optimize Spark code, Impala queries, and Hive partitioning strategy for better scalability, reliability, and performance. Build applications using Maven, SBT and integrated with continuous integration
• Experience with Hadoop and the HDFS Ecosystem • Strong Experience with Apache Spark, Storm, Kafka is a must. • Experience with Python, R, Pig, Hive, Kafka, Knox, Tomcat and Ambari • Experience with MongoDB • A minimum
Candidate should be able to: Coordinate Development, Integration, and Production deployments. Optimize Spark code, Impala queries, and Hive partitioning strategy for better scalability, reliability, and performance. Build applications using Maven, SBT and integrated with continuous integration
JOB DETAILS 1) To help designing, innovating and building our next generation ML architecture 2) Full time programming experience within an operation or technical department. 3) Identify valuable data sources and automate collection processes 4) Undertake
• Building efficient storage for structured and unstructured data • Transform and aggregate the data using data processor technologies • Developing and deploying distributed computing Big Data applications using Open Source frameworks like Apache Spark, Apex, Flink,
• Experience with Hadoop and the HDFS Ecosystem • Strong Experience with Apache Spark, Storm, Kafka is a must. • Experience with Python, R, Pig, Hive, Kafka, Knox, Tomcat and Ambari • Experience with MongoDB • A minimum
About Tredence Tredence is a global analytics services and solutions company. We are one of the fastest growing private companies in the country for three straight years according to the Inc. 5000 and we continue to
The opportunity We’re looking for Managers (GTM +Cloud/ Big Data Architects) with strong technology and data understanding having proven delivery capability in delivery and pre sales. This is a fantastic opportunity to be part of a
Candidate should be able to: Coordinate Development, Integration, and Production deployments. Optimize Spark code, Impala queries, and Hive partitioning strategy for better scalability, reliability, and performance. Build applications using Maven, SBT and integrated with continuous integration
• Building efficient storage for structured and unstructured data • Transform and aggregate the data using data processor technologies • Developing and deploying distributed computing Big Data applications using Open Source frameworks like Apache Spark, Apex, Flink,
• Building efficient storage for structured and unstructured data • Transform and aggregate the data using data processor technologies • Developing and deploying distributed computing Big Data applications using Open Source frameworks like Apache Spark, Apex, Flink,
Role: Data Engineer (2-3 YEARS)- 5 POSITIONS Responsibilities: Data Engineer will work on collecting, storing, processing, and analyzing huge sets of data The primary focus will be on choosing optimal solutions to use for these purposes,
JOB DETAILS 1) To help designing, innovating and building our next generation ML architecture 2) Full time programming experience within an operation or technical department. 3) Identify valuable data sources and automate collection processes 4) Undertake
About Tredence Tredence is a global analytics services and solutions company. We are one of the fastest growing private companies in the country for three straight years according to the Inc. 5000 and we continue to