Technical Lead

3 weeks ago

Noida Greater Noida, India timesjobs Full time
Technical Lead - Data Engineering

8-12 years Noida Graduation/Post Graduation Responsibilities Define client needs and oversee project milestones to ensure expectations, timelines, and budgets are met
Define data platform architecture and design, have hands on capability to review code and make required changes
Leverage extensive knowledge of distributed systems, process flows and procedures to aid analyses and recommendations for solution offerings
Responsible for the overall quality of project deliverables and the successful implementation of defined solution for the customer
Build long-term, superior client relationships and proactively manage client expectations, and ensure that change control is used when scope boundaries are exceeded
Communicate a compelling and inspired vision to all customer levels, from CTOs/CIOs, to engineering managers and programmers.
Maintain a strong network and promote the organization at various meetings, forums, panels, publications, and conferences to establish thought leadership in the industry
Responsible for POCs on any tech stacks introduced, or possible version upgrades.

Requirements

At least 8 years of experience in design and development using various database technologies with recent 4 years associated Hadoop technology stack and programming languages
Hands-on and technical lead experience in 4 or more areas:
Hadoop, HDFS, MR
High Availability architecture and DR setup
Spark Streaming, Spark SQL, Spark ML
Kafka/Flume.
Apache NiFi, Apache Airflow
Hive / Pig / Sqoop
NoSQL Databases HBase/Cassandra/Neo4j/MongoDB
Good to have knowledge of Elastic Search
Data security (Kerberos/OpenLDAP/Knox/Ranger)
Performance Optimization

Prior experience on Databricks and Snowflake would be preferred
Good to have knowledge on AWS Data & Analytics Services
Should have a very good overview of the current landscape and ability to visualize technology and industry trends
Ability to successfully lead a team of big data engineers and big data developers through all phases of the development life cycle, including requirements definition, architecture, design, development, implementation, and testing
Working knowledge of Big Data Integration with Third party / in house built Metadata Management, Data Quality, Master Data Management Solutions, Structured/Unstructured data
Have been active in the community in terms of articles / blogs / speaking engagements at conferences

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