Verified Job
IT / Software / Data Analyst
Data Engineer Technix
IT / Software / Data Analyst
#803237
Remote / WFH
Technix India Solutions
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.
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.
