Senior Data Engineers / Lead Data Engineer

#hyderabad

#DataEngineering #DataArchitect #DataEngineeringJobs #HealthcareData

#AWS #CloudComputing #BigData #DataAnalytics #PlatformEngineering #Terraform #Kubernetes #SQL #Python #Scala #apachespark #pyspark #ETLpipeline #PySpark #ApacheSpark #Kafka #Confluent #apache #eventstreaming #RealTimeData #DataPipelines #DataProcessing #Analytics #AnalyticalProcessing #dataengineer #ETL

Sr. Data Engineers / Sr. Platform Engineers / Lead Data Engineer | Hyderabad

experienced Data Engineers

Role: Senior/Lead Data Engineer (Python, Spark, SQL, AWS)

📍 Location: Hyderabad (Hybrid – WFO 3 days/week)

6 – 10 Years

⚡ Availability: Immediate Joiner

Must-Have Technical Skills:

• Strong programming skills in

  Python

  and/or

  Scala

• Hands-on experience with

  Apache Spark

  for big data processing on

  AWS cloud

• Proficiency with

  AWS services

  such as

  S3, Glue, Redshift, EMR, Lambda

• Strong SQL skills for data transformation and analytics
• Experience in

  Infrastructure as Code (IaC)

  using

  Terraform

• Expertise in setting up and managing

  CI/CD pipelines with Jenkins

Responsibilities: Senior Position

• Design, build, and optimize scalable

  data pipelines on AWS

• Implement data ingestion, transformation, and integration solutions using

  Spark, Glue, and SQL

• Manage and optimize cloud storage and compute environments
• Ensure robust, automated deployments with

  Terraform and Jenkins

• Collaborate with cross-functional teams to deliver high-quality data products
• Hands-on experience with Spark, Airflow, Flink, Python, SQL/NoSQL

Responsibilities: Lead Position

• Lead and mentor engineers across multiple projects
• Architect and deliver high-quality, scalable data platforms
• Align engineering efforts with business goals and enterprise standards
• Drive adoption of modern data stacks and cloud-native technologies
• Implement CI/CD pipelines and infrastructure-as-code
• Ensure compliance and quality in regulated environments
• 6+ years in Data Engineering / Architecture / Platform Engineering
• Proven expertise in cloud-native data platforms (AWS, Big Data, Analytics ecosystem)
• Deep knowledge of Terraform and CI/CD tools (Jenkins, GitHub Actions, GitLab)

What We Value

• Strategic thinking and technical depth

Nice to Have:

• Prior experience in the

  Healthcare / Life Sciences domain

• Familiarity with modern data lake and data mesh architectures

Why Join Us?

• Work on

  cutting-edge data engineering projects

  in healthcare analytics
• Hybrid work model for flexibility and collaboration
• Opportunity to grow in a fast-paced, innovation-driven environment

Please Note:

a Hacker rank test

2. The Test contains logical questions to examine candidates' problem-solving skills.

3. Candidates beyond 70% to be forwarded for the next rounds.

Apply Now

📌 Applications via email with following details will receive immediate attention.

Required details:

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LinkedIn Profile:

Keyura Vyas

Talent Acquisition Manager

Sid Information technology