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Back End Engineer

Job in Sunnyvale, Dallas County, Texas, 75182, USA
Listing for: Tata Consultancy Services
Full Time position
Listed on 2025-12-10
Job specializations:
  • Engineering
    Data Engineer
Salary/Wage Range or Industry Benchmark: 70000 - 130000 USD Yearly USD 70000.00 130000.00 YEAR
Job Description & How to Apply Below

Back End Engineer

Join Tata Consultancy Services as a Back End Engineer. This role focuses on data engineering, requiring strong skills in Spark, Python, Scala, Java, and cloud technologies (AWS/GCP). Candidates will work on designing, developing, and maintaining scalable and reliable data pipelines and backend systems, collaborating with data scientists and other engineers to deliver data‑driven solutions.

Responsibilities
  • Design, develop, and maintain data pipelines using Spark, Python, Scala, and Java.
  • Write efficient and optimized SQL queries for ETL processes.
  • Manipulate and analyze large datasets with Data Frames.
  • Implement data storage and processing solutions using cloud technologies (preferably AWS or GCP).
  • Build and maintain real‑time data streaming pipelines using MSK/Kafka.
  • Utilize S3 for data storage and retrieval.
  • Work with data lake technologies like Iceberg.
  • Ensure data quality, integrity, and security.
  • Collaborate with data scientists and other engineers to understand data requirements and deliver solutions.
  • Participate in code reviews and contribute to improving development processes.
  • Troubleshoot and resolve issues in data pipelines and backend systems.
Qualifications
  • Bachelor’s degree in Computer Science or related field (or equivalent experience).
  • 5+ years of experience in back‑end development with a focus on data engineering.
Required Skills
  • Strong proficiency in Spark, Python, Scala, and Java.
  • Expertise in SQL and relational databases.
  • Experience with Data Frames for data manipulation and analysis.
  • Experience with cloud technologies (AWS or GCP).
  • Experience with message streaming platforms like MSK/Kafka.
  • Experience with S3 or similar object storage.
  • Experience with data lake technologies like Iceberg.
  • Solid understanding of data warehousing concepts.
  • Excellent communication and collaboration skills.
Bonus Points
  • Experience with data modeling and schema design.
  • Experience with data governance and data quality management.
  • Experience with Dev Ops practices and CI/CD pipelines.
  • Relevant certifications (e.g., AWS Certified Data Engineer, Google Cloud Certified Professional Data Engineer).
Salary Range

$70,000 - $130,000 per year (US) and equivalent in India.

Seniority level

Mid‑Senior level

Employment type

Full‑time

Job function

Engineering and Information Technology

Industries

IT Services and IT Consulting

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