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Big data Spark Scala Back-End Engineer

Big data Spark Scala Back-End Engineer

Tata Consultancy ServicesPune, IN
22 hours ago
Job description

I hope you're doing well! I came across your profile and was impressed by your extensive experience as an / a (mention role / skill). We have a similar opportunity to join our dynamic team at TCS.

Job Title : Scala Back-End Engineer

Locations : Bangalore, India

Mode : Full Time

8-16 Years Experience

About the Role :

We are seeking a skilled and passionate Back-End Engineer with a strong background in data engineering to join our growing team. In this role, you will be responsible for designing, developing, and maintaining scalable and reliable data pipelines and back-end systems. You will work with large datasets, leverage cloud technologies, and collaborate with data scientists and other engineers to deliver impactful data-driven solutions. This position is available in both the United States and India.

Responsibilities :

  • Design, develop, and maintain data pipelines using Spark, Python, Scala, and Java.
  • Write efficient and optimized SQL queries for data extraction, transformation, and loading (ETL) processes.
  • Work with Data Frames to manipulate and analyse large datasets.
  • 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 our development processes.
  • Troubleshoot and resolve issues in data pipelines and back-end systems.

Qualifications :

Bachelor’s degree in computer science or a 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 working with relational databases.
  • Experience with DataFrames for data manipulation and analysis.
  • Experience with cloud technologies (preferably 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 modelling and schema design.
  • Experience with data governance and data quality management.
  • Experience with DevOps practices and CI / CD pipelines.
  • Relevant certifications (e.g., AWS Certified Data Engineer, Google Cloud Certified Professional Data Engineer).
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