• Lead Data Engineer

Location Karnataka Bangalore
Experience Range 10 - 12 Years
Not active

Skills Big Data technologies, Azure Databricks / Databricks Delta
Job Description
About Us
EVRY India and EVRY USA are wholly owned subsidiaries of TietoEVRY, a leading digital services and software company headquartered in Finland with annual revenues of around USD 3.3 billion. TietoEVRY employs around 24,000 experts globally and is recognized as the #1 IT services and #1 financial services company in the Nordics. TietoEVRY serves thousands of enterprises and public sector customers in more than 90 countries. We foster a culture of continuous learning and focus on helping our customers in accelerating their digital journey to scale business advantage. Be it talent, speed to market, innovation, or cross-pollination of ideas across markets, TietoEVRY leverages USA and India operations to compete locally as well as globally.
Roles and Responsibility


Pre-requisites?Must have worked in Big Data technologies for atleast 4 yrs

?Must have worked on Azure Databricks / Databricks Delta for atleast 1 yr

Mandatory SkillsTechnical Experience


?Hands on experience on Hadoop technologies (Hive, Sqoop & Spark)

?Good expertise in Python programming language

?Must have experience in understanding business vision to prepare ETL/ELT solution architecture

?Fair knowledge on Azure on services like Azure Data Factory v2, Azure Synapse

?Good understanding of Lambda Architecture

?Experience with integration of data from multiple data sources

?Good knowledge on any RDBMS and Data Warehousing Concepts

?Good working experience in SQL / TSQL / PLSQL


Designing Skills

?Must have experience in understanding business vision to prepare Data integration solution

?Identifying solutions to key technical challenges in projects concerning Data   Integration


Communication Skills

?Must have very good oral and written communication skills

?Must have experience in presenting technical topics to large audiences

Preferred SkillsTechnical Skills

?Fair Knowledge on Machine learning and Exposure on Big Data ML toolkits, such as SparkML / Azure ML

?Fair knowledge on NoSQL databases such as MongoDB, HBase, Cassandra etc


Research Skills

?Need to be proactive towards research, POC implementation, comparing alternative components and preparing reports on the same


A+| A| A-