Experience: 4+Years

Location: Hyderabad

Primary Skillsets: Spark , Hive ,SQL and Hadoop technologies

experience and should have robust experience in Hadoop, Spark, Scala, Java, Hive, Impala, CI/CD, Git, Jenkins, Agile Methodologies, DevOps, Cloudera Distribution. Strong Knowledge in data warehousing Methodology

Roles & Responsibilities:
Create Scala/Spark/Pyspark jobs for data transformation and aggregation Produce unit tests for Spark transformations and helper methods Used Spark and Spark-SQL to read the parquet data and create the tables in hive using the Scala API.
Work closely with Business Analysts team to review the test results and obtain sign off
Prepare necessary design/operations documentation for future usage Perform peers
Code quality review and be gatekeeper for quality checks Hands-on coding, usually in a pair programming setting
Working in highly cooperative teams and building quality code
The candidate must exhibit a good understanding of data structures,



data manipulation, distributed processing, application development, and automation.
Familiar with Oracle, Spark streaming, Kafka, ML.
To develop an application by using Hadoop tech stack and delivered effectively, efficiently, on-time, in-specification and in a cost-effective manner.
Ensure smooth production deployments as per plan and post-production deployment verification.
This Hadoop Developer will play a hands-on role to develop quality applications within the desired timeframes and resolving team queries.
Requirements Hadoop data engineer with total (4 - 6 years) & ( 6 -9 Years) of experience and should have strong experience in Hadoop, Spark, Scala, Java, Hive, Impala, CI/CD, Git, Jenkins, Agile Methodologies, DevOps, Cloudera Distribution. Strong Knowledge in data warehousing Methodology

📌 Data Engineer Hyderabad (India)
🏢 Tekskills
📍 India