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Data Engineer

Technix India Solutions
Patna, Bihar

Apply Now

Job details

Full-time

Qualifications

BCS
RDBMS
Azure
Computer Science
Big data
Spark
NoSQL
Apache Hive
Java
Bash (Unix shell)
Databases
SQL
AWS
Bachelor's degree
Machine learning
Scala
Kafka
Redshift
Python
MySQL
Hadoop

Full job description

Patna

Opening: 20-Dec-2023

Skills Required: Python, Java, SQL, Scripting languages (Bash, Shell), Apache Spark, Scala, Airflow, Hadoop, Kafka, AWS/Azure/GCP, SQL and NoSQL databases

Experience Required: Minimum of 2 Years

Educational Qualification: Bachelor's degree in Computer Science, Information, Engineering or another quantitative field

Salary Package:

Employment Type: Full Time

Description

We are looking for Data Engineer to join our growing team of analytics experts. The Data Engineers are responsible for expanding and optimizing the data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The candidate should be experienced in data pipeline builder and data wrangler and who enjoys optimizing data systems and building them from the ground up. The Data Engineer will support our software developers, database architects, data analysts and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects.

Responsibility

Analyze and organize raw data
Build data systems and pipelines
Evaluate business needs and objectives
Interpret trends and patterns
Conduct complex data analysis and report on results
Prepare data for prescriptive and predictive modeling
Build algorithms and prototypes
Combine raw information from different sources
Explore ways to enhance data quality and reliability
Identify opportunities for data acquisition
Develop analytical tools and programs
Collaborate with data scientists and architects on several projects

Requirements

Passion for testing strategy, problem-solving, and continuous learning.
Willingness to acquire new skills and knowledge.
Possess a product/engineering mindset to drive impactful data solutions.
Experience working in distributed environments with global teams.
Knowledge or experience in architectural best practices for building data lakes.
Expertise with big data technologies, including Spark, Data Lake, Delta Lake, and Hive.
Expert-level ability to write complex, optimized SQL queries across extensive data volumes.
Experience with RDBMS and OLAP databases like MySQL, Redshift.
Solid understanding of batch and streaming data processing techniques
High proficiency in Scala/Java and Spark for applied large-scale data processing.

Notes

Joining time should not be longer than 15 days.

Apply Now

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