Urgent! Data Engineer - Python/Spark Job Opening In Bengaluru – Now Hiring Varite
<p><b>About The Job : </b><br/><br/>- Develops technical tools and programming to cleanse, organize and transform data and to maintain, protect and update data structures and integrity on an automated basis.<br/><br/>- Applies data extraction, transformation, and loading techniques in order to tie together large data sets from a variety of sources.<br/><br/>- Partners with both internal & external sources to design, build and oversee the deployment and operation of technology architecture, solutions and software.<br/><br/>- Designs, develops and programs methods, processes and systems to capture, manage, store and utilize structured and unstructured data to generate actionable insights and solutions.<br/><br/>- Responsible for the maintenance, improvement, cleaning, and manipulation of data in the business client's operational and analytics databases.<br/><br/>- Proactively analyzes and evaluates the business client's databases in order to identify and recommend improvements and optimization.<br/><br/><b>Essential Job Functions : </b><br/><br/>- Uses knowledge of existing and emerging data science engineering principles, theories, and techniques to inform business decisions; and produce accurate business insights.<br/><br/>- Completes projects and assignments of moderate scope and complexity under normal supervision to ensure customer and business needs are met.<br/><br/>- Applies discretion and independent judgement to interpret data trends and summarize data insights.<br/><br/>- Assists in the preliminary data exploration, data preparation for accurate model development.<br/><br/>- Establishes working relationships with others outside area of Data Science Engineering expertise.<br/><br/>- Prepares presentations of project outputs for external customers with assistance.<br/><br/>- Design, develop, and maintain scalable data pipelines and systems for data processing.<br/><br/>- Utilize Data Lakehouse, Spark on Kubernetes and related technologies to manage large-scale data processing.<br/><br/>- Perform data ingestion from various sources like API's, RDBMS, NoSQL DB's, Kafka, Middleware & Files using Spark and process data into Lakehouse platform.<br/><br/>- Develop and maintain py-spark scripts for automation of data processing tasks.<br/><br/>- Implement full and incremental data loading strategies to ensure data consistency and availability.<br/><br/>- Orchestrate and monitor workflows using Apache Airflow.<br/><br/>- Ensure code quality and version control using GIT.<br/><br/>- Troubleshoot and resolve data-related issues in a timely manner.<br/><br/>- Stay up-to-date with the latest industry trends and technologies to continuously improve our data infrastructure.<br/><br/>- Design, develop, and maintain scalable data pipelines and systems for data processing.<br/><br/>- Utilize Data Lakehouse, Spark on Kubernetes and related technologies to manage large-scale data processing.<br/><br/>- Perform data ingestion from various sources like API's, RDBMS, NoSQL DB's, Kafka, Middleware &<br/><br/>- Files using Spark and process data into Lakehouse platform.<br/><br/>- Develop and maintain py-spark scripts for automation of data processing tasks.<br/><br/>- Implement full and incremental data loading strategies to ensure data consistency and availability.<br/><br/>- Orchestrate and monitor workflows using Apache Airflow.<br/><br/>- Ensure code quality and version control using GIT.<br/><br/>- Troubleshoot and resolve data-related issues in a timely manner.<br/><br/>- Stay up-to-date with the latest industry trends and technologies to continuously improve our data : </b><br/><br/>- Proven experience as a Data Engineer (ETL, data warehousing, data Lakehouse).<br/><br/>- Strong knowledge of Spark on Kubernetes, S3 and Docker Images.<br/><br/>- Proficiency in Data engineering techniques with Py-spark.<br/><br/>- Strong experience in Data warehousing techniques like data mining, data analysis, data profiling.<br/><br/>- Experience with Python scripting for automation.<br/><br/>- Expertise in full and incremental data loading techniques.<br/><br/>- Excellent problem-solving skills and attention to detail.<br/><br/>- Ability to work collaboratively in a team environment and communicate effectively with stakeholders.<br/><br/><b>Good to have :</b><br/><br/>- Understanding of streaming data applications using.<br/><br/>- Hands-on experience with Apache Airflow for workflow orchestration.<br/><br/>- Proficiency with GIT for version control<br/><br/>- Understanding of data engineering integration with LLMs or GEN-AI applications and Vector DB.<br/><br/>- Knowledge on Shell scripting Postgres SQL or SQL server or MSBI.</p> (ref:hirist.tech)
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Unlock Your Data Engineer Potential: Insight & Career Growth Guide
Real-time Data Engineer Jobs Trends in Bengaluru, India (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Data Engineer in Bengaluru, India using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 632881 jobs in India and 47941 jobs in Bengaluru. This comprehensive analysis highlights market share and opportunities for professionals in Data Engineer roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Varite is currently hiring and seeking a Data Engineer Python/Spark to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Varite adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Engineer Python/Spark Jobs India varies, but the pay scale is rated "Standard" in Bengaluru. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Data Engineer Python/Spark typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Data Engineer Python/Spark interview at Varite, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Varite's products or services and be prepared to discuss how you can contribute to their success.
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