🚀 Hiring: Data Engineers | Hyderabad (Hybrid) | Immediate Joiners

🚀 Hiring: Data Engineers (Multi Roles) | Hyderabad (Hybrid) | Immediate Joiners

📍 Location:

💼 Job Type:

⏳ Experience:

⚡ Immediate Joiners Preferred

Data Engineers

Candidates must clearly mention which role they are applying for while sending the email.

📌

Please mention ONE of the following in your email subject line:

• “Application – Senior Python / Data Engineer (Investment & Risk Analytics)”

• OR

• “Application – Data Engineer (SAP Finance | AWS | Airflow)”

Applications without role selection may not be processed.

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🔹 Role 1: Role 1: Senior Python / Data Engineer – Investment & Risk Analytics

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Experience:

• 7+ years

  overall experience
• Strong background in

  Python, SQL, financial / investment data

Key Responsibilities:

• Requirements gathering, technical design, and solutioning
• Build and maintain

  risk & investment analytics platforms

• Work with

  Python & SQL

  aligned with quantitative modeling
• Collaborate with

  ERM, Capital & Investment Risk teams

• Design scalable data repositories and reporting architectures
• Optimize solutions and guide tool / technology selection
• Develop, test, migrate solutions to production
• Documentation, knowledge transfer, and process improvements

Required Skills:

• Python (core internals, data structures, production patterns)
• SQL, relational & NoSQL databases
• ETL concepts, Pandas / NumPy / PySpark
• APIs, CI/CD, deployment & optimization
• Exposure to

  investment or accounting data (bonds, derivatives)

Preferred:

• Moody’s Analytics / RiskFrontier or similar platforms
• AWS or Azure experience
• Airflow or enterprise scheduling tools
• DevOps, Docker, GitHub, Jenkins

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Role 2: Data Engineer – SAP Finance Data Migration (AWS, Airflow, PySpark)

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Experience:

• 6+ years

  in Data Engineering

• 2+ years

  hands-on with

  AWS & Apache Airflow

Key Responsibilities:

• Build ETL/ELT pipelines for

  SAP R/3 → S/4HANA finance migration

• Develop large-scale data processing using

  PySpark & Hadoop

• Orchestrate workflows using

  Apache Airflow

• Integrate SAP & non-SAP data into

  AWS (S3, Postgres)

• Support data validation, UAT, and reporting readiness
• Collaborate with global teams (India & US)
• Troubleshoot, optimize, and document pipelines

Required Skills:

• PySpark, Hadoop, distributed data processing
• Apache Airflow (DAG development & monitoring)
• AWS S3, Postgres (Snowflake/Redshift is a plus)
• Strong SQL & Python scripting
• ETL / ELT best practices

Preferred:

• SAP S/4HANA finance modules (GL, AP/AR, CO, FA)
• SAP SLT / BODS / Data Services
• BI tools: Power BI, Tableau, SAP Analytics Cloud
• Agile delivery experience

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📩 Details Required While Sending Email

along with role selection

• Full Name
• Mobile Number
• Total Experience | Relevant Experience
• Current Location
• Notice Period / Last Working Day
• Current CTC & Expected CTC
• Do you have a

  PF account

  ?
• Does

  all employment reflect in PF records

  ?
• Do you have

  offer / release / experience letters

  for previous employments?
• Do you have any

  offer in hand

  ? (If yes, mention CTC)
• Are you open for

  Hybrid work from Hyderabad

  ?
• Updated Resume

Email:

🔖 Hashtags

#Hiring #DataEngineer #PythonJobs #PySpark #Airflow #AWSJobs #HyderabadJobs #HybridJobs #ImmediateJoiner #Strive4X #IIT #NIT #FinanceData #SAPJobs #TechHiring