LEAD - Azure DATA Platform

Job content

LEAD - AZURE DATA PLATFORM- Immediate Joiner

We are hiring for our clients, a Indian MNC with offices across India.

Locations: Noida/ Bangalore/Kolkota/ Bhubneshwar/ Pune/ Hyderabad

MUST HAVES:

Knowledge of AWS/Azure/GCP data services, Spark framework, Databricks and knowledge of Cloud Data Warehouse like Redshift, Synapse, BigQuery and Snowflake is must. Mininmum 10 years on all skills.

Number of Positions : 5

Mandatory People related Leadership Skills

• Should be able to work in a team
• Should be able to Mentor other team members on Azure Modern Data Platform
• Ability to produce high quality work products under pressure and within deadlines
• Conflict Management – Ability to nurture high performing teams, managing conflicts that could occur
• Negotiation – Ability to negotiate a win-win situation for Client, Mindtree & Partner organizations
• To coordinate with developers / other architects / other stakeholders and cross functional teams from organization and customer side

Professional Experience Required

• 15-18 years of experience in designing, architecting and implementing large scale data processing/data storage/data distribution systems
• Extensive experience working with large data sets with hands-on technology skills to design and build robust Data solutions using Spark framework, AWS/Azure/GCP data services and knowledge of Databricks, Snowflake and other tools & technologies.
• Ability to work with a multi-technology/cross-functional teams and customer stakeholders to guide/managing a full life-cycle of a data solution
• Extensive experience in data modeling and database design involving any combination of - Data warehousing and Business Intelligence systems and tools
• Relational and MPP database platforms like (Netezza/Teradata/Azure Synapse/AWS RedShift/GCP Big Query)
• Open source Hadoop stack/Spark framework
• Hands-on administration, configuration management, monitoring, performance tuning of spark based platforms
• Strong understanding of Data Analytics platforms and ETL in the context of large data sets, batch and streaming, structured, semi-structured and unstructured
• Ability to frame architectural decisions, provide technology leadership & direction
• Excellent problem solving, hands-on engineering skills and communication skills
• Broad understanding and experience of real-time analytics
• Participate in full Software Development Life Cycle (SDLC) of Data Solutions

Technical Skills Required

Any combination of below technical skills

• Hadoop : HDFS, MapReduce, Hive, Hbase, Pig, Mahout, Avro, Oozie
• NoSQL : Cassandra, MongoDB, Hbase, AWS Dynamodb, DocumentDb
• Appliances : Teradata, Netezza, Greenplum, Aster Data, Vertica, AWS RedShift
• Languages : Java, Linux, Apache, Perl/Python/PHP
• Cloud : Azure/AWS/GCP Big data native services
• Lakehouses : Synapse, Redshift, BigQuery, Snowflake, Databricks
• Spark : Databricks/Spark on AWS, Azure and GCP environments
• Any RDBMS/DWBI technologies

Job Location : - Noida/ Bangalore/Kolkota/ Bhubneshwar/ Pune/ Hyderabad

Qualification BE/ BTECH/ MCA/ Equivalent Engineering qualification from Tier 1