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data analytics jobs in surat

By: 12th pass jobs

On: May 15, 2025

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Job Details

As a Senior Data Engineer, you will design and build robust data pipelines, manage data lakes and warehouses, and drive best practices across the team. This role requires excellent technical expertise, leadership ability, and strong communication skills.

Job Salary:

5,00,000 - 10,00,000

Job Post:

Data Engineer

Qualification:

 data engineering

Age Limit:

20+

Exam Date:

May 15, 2025

Last Apply Date:

July 25, 2025

Job Description

As a Senior Data Engineer, you will design and build robust data pipelines, manage data lakes and warehouses, and drive best practices across the team. This role requires excellent technical expertise, leadership ability, and strong communication skills.

data analytics jobs in surat

Casepoint provides full eDiscovery capabilities through a powerful, secure, cloud-based platform. We are repeatedly chosen by leading law firms and multinational corporations for their largest matters. On an upward trajectory for almost a decade, Casepoint is looking to expand its team globally. Team cooperation, “work hard, play hard” attitude, open communication, and kindness mark Casepoint’s culture.

We have available data analytics jobs in surat

We are looking for a Data Scientist that will help us discover the information hidden in vast amounts of data, and help us make smarter decisions to deliver even better products. Your primary focus will be on applying data mining techniques, doing statistical analysis, and building high-quality prediction systems integrated with our products.

Job Location:

Adajan, Surat, Gujarat

Job Timing:

Full Day

Working Day :

Monday To Friday

Salary Range:

5,00,000 – 10,00,000

Roles and Responsibilities:

  • Design, build, and maintain scalable data pipelines and ETL/ELT processes.
  • Develop and manage data warehouses and data lakes to support analytics and reporting.
  • Ensure data reliability, quality, and security across systems.
  • Mentor and support junior engineers, providing technical guidance and code reviews.
  • Collaborate with engineering, product, and analytics teams to align on data needs and strategy.
  • Champion best practices in data architecture, governance, and performance optimization.

Job requirements :

  • 5+ years of experience in data engineering or a related role.
  • Strong experience with data warehouse and data lake architectures.
  • Proficient in Python, SQL, and ETL tools (e.g., Airflow, dbt).
  • Hands-on experience with cloud platforms (AWS, GCP, or Azure).
  • Familiarity with Snowflake, Redshift, BigQuery, or similar.
  • Excellent communication and interpersonal skills.
  • Proven ability to lead projects and mentor team members.

Experience :

5 Year

Education :

 data engineering

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