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3 Job openings at Selectify Analytics
Data Engineering

Hyderabad

3 - 8 years

INR 6.0 - 18.0 Lacs P.A.

Work from Office

Full Time

Mandatory skills for Data engineer: Python/Pyspark, Aws Glue, lambda , redshift. Python/Pyspark, Aws Glue, lambda , redshift, SQL. Expert knowledge in AWS Data Lake implementation and support (S3, Glue,DMS Athena, Lambda, API Gateway, Redshift)

Data Engineering

Hyderabad

3 - 8 years

INR 5.0 - 15.0 Lacs P.A.

Work from Office

Full Time

Dear Candidates, We are conducting a Walk-In Interview in Hyderabad for the position of Data Engineering on 20th/21st/22nd June 2025 . Position: Data Engineering Job description: Expert knowledge in AWS Data Lake implementation and support (S3, Glue,DMS Athena, Lambda, API Gateway, Redshift) Handling of data related activities such as data parsing, cleansing quality definition data pipelines, storage and ETL scripts Experiences in programming language Python/Pyspark/SQL Experience with data migration with hands-on experience Experiences in consuming rest API using various authentication options with in AWS Lambda architecture orchestrate triggers, debug and schedule batch job using a AWS Glue, Lambda and step functions understanding of AWS security features such as IAM roles and policies Exposure to Devops tools AWS certification in AWS is highly preferred Mandatory skills for Data engineer: Python/Pyspark, Aws Glue, lambda , redshift. Date: 20th June 2025 to 22nd June 2025 Time : 9.00 AM to 6.00 PM Eligibility: Any Graduate Experience : 2- 10 Years Gender: ANY Interested candidates can walk in directly. For any queries, please contact us at +91 7349369478/ 8555079906 Interview Venue Details: Selectify Analytics Address: Capital Park (Jain Sadguru Capital Park) Ayyappa Society, Silicon Valley, Madhapur, Hyderabad, Telangana 500081 Contact Person: Mr. Deepak/Saqeeb/Ravi Kumar Interview Time: 9.00 AM to 6.00 PM Contact Number : +91 7349369478/ 8555079906

Aws Devops Engineer

Hyderabad

6 - 8 years

INR 18.0 - 24.0 Lacs P.A.

Work from Office

Full Time

AWS using Terraform . Manage CI/CD pipelines with Jenkins , CloudBees , and GitHub Actions Kubernetes Docker

cta

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