How much salary can I expect as a Data Engineer in Indium Software India in Hyderabad?

You can expect a minimum salary of 0 INR. The salary offered will depend on your skills, experience and performance in the interview.

What is the eligibility criteria to apply for Data Engineer in Indium Software India in Hyderabad?

The candidate should have completed the required education and people who have 2 to 31 years are eligible to apply for this job. You can apply for more jobs in Hyderabad to get hired quickly.

Is there any specific skill required for this job?

The candidate should have sound communication skills and sound communication skills for this job.

Who can apply for this job?

Both Male and Female candidates can apply for this job.

Is it a work from home job?

No, it's not a work from home job and can't be done online. You can explore and apply for other work from home jobs in Hyderabad at apna.

Are there any charges or deposits required while applying for the role or while joining?

No work-related deposit needs to be made during your employment with the company.

How can I apply for this job?

Go to the apna app and apply for this job. Click on the apply button and call HR directly to schedule your interview.

What is the last date to apply?

The last date to apply for this job is . For more details, download apna app and find Full Time jobs in Hyderabad . Through apna, you can find jobs in 64 cities across India. Join NOW!

Data Engineer

Indium Software India

Data Engineer

Indium Software India

Hyderabad

Not disclosed

Work from Office

Full Time

Min. 2 years

Job Description

Data Engineer

Job Title: Data Engineer

Job Description: • Design, build, and maintain scalable data pipelines using PySpark and Python • Develop and optimize complex SQL queries for large datasets • Implement and manage ETL/ELT processes ensuring data quality and reliability • Collaborate with business and product teams to translate data requirements into solutions • Build and maintain data warehouse solutions • Handle large-scale data processing using Hadoop/Big Data technologies • Perform performance tuning and optimization of data workflows Required Skills: • Strong hands-on experience with PySpark and Python • Advanced proficiency in SQL • Solid experience in ETL processes and data warehousing • Familiarity with Hadoop ecosystem and Big Data technologies • Experience working with large datasets in distributed environments • Good communication and business understanding Good to Have: • Experience with Apache Airflow • Exposure to cloud platforms (AWS, GCP, Azure) • Knowledge of data lakes and modern data architectures • Experience with streaming tools (Kafka, Spark Streaming)