Urgent! Data Engineer - Python/SQL/Spark Job Opening In India, India – Now Hiring SDOD TECHNOLOGIES PRIVATE LIMITED
<p><p><b>Requirements : </b></p><p><br/>- Strong proficiency in writing complex, optimized SQL queries (especially for Amazon Redshift).<br/><br/></p><p>- Experience with Apache Spark (preferably on AWS EMR) for big data processing.<br/><br/></p><p>- Proven experience using AWS Glue for ETL pipelines (working with RDS, S3 etc.
).<br/><br/></p><p>- Strong understanding of data ingestion techniques from diverse sources (files, APIs, relational DBs).<br/><br/></p><p>- Solid hands-on experience with Amazon Redshift : data modeling, optimization, and query tuning.<br/><br/></p><p>- Familiarity with AWS Quicksight for building dashboards and visual analytics.<br/><br/></p><p>- Proficient in Python or PySpark for scripting and data transformation.<br/><br/></p><p>- Understanding of data pipeline orchestration, version control, and basic DevOps.</p><br/><p><b>Good-to-have Skills : </b><br/><br/>- Knowledge of other AWS services (Lambda, Step Functions, Athena, CloudWatch).<br/><br/></p><p>- Experience with workflow orchestration tools like Apache Airflow.<br/><br/></p><p>- Exposure to real-time streaming tools (Kafka, Kinesis, etc.
).<br/><br/></p><p>- Familiarity with data security, compliance, and governance best practices.<br/><br/></p><p>- Experience with infrastructure as code (e.
g., Terraform, Responsibilities : </b></p><br/>- Develop, maintain, and optimize complex SQL queries, primarily for Amazon Redshift, ensuring high performance and scalability.<br/><br/>- Build and manage ETL pipelines using AWS Glue, processing data from various sources including RDS, S3, APIs, and relational databases.<br/><br/>- Utilize Apache Spark (preferably on AWS EMR) for large-scale data processing and transformation tasks.<br/><br/>- Design efficient data models and optimize Redshift clusters for storage, query performance, and cost-effectiveness.<br/><br/>- Create and maintain data ingestion workflows from diverse sources such as files, APIs, and databases.<br/><br/>- Develop scripts and data transformations using Python or PySpark.<br/><br/>- Implement and monitor data pipeline orchestration with version control and adhere to DevOps best practices.<br/><br/>- Collaborate with analytics and BI teams, leveraging AWS QuickSight for dashboarding and visualization.<br/><br/>- Ensure data quality, security, and compliance throughout the data lifecycle.</p><br/></p> (ref:hirist.tech)
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Unlock Your Data Engineer Potential: Insight & Career Growth Guide
Real-time Data Engineer Jobs Trends in India, 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 India, 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 676344 jobs in India and 46874 jobs in India. 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! SDOD TECHNOLOGIES PRIVATE LIMITED is currently hiring and seeking a Data Engineer Python/SQL/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 SDOD TECHNOLOGIES PRIVATE LIMITED adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Data Engineer Python/SQL/Spark Jobs India varies, but the pay scale is rated "Standard" in India. 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/SQL/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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Before the Interview:To prepare for your Data Engineer Python/SQL/Spark interview at SDOD TECHNOLOGIES PRIVATE LIMITED, 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 SDOD TECHNOLOGIES PRIVATE LIMITED's products or services and be prepared to discuss how you can contribute to their success.
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