Data Engineer Job Openings in Pune 2025!!!
NCSi announced job vacancy for the post of Data Engineer. The place of posting will be at Pune. Candidates who have completed Graduate / Engineering / Post Graduate with Fresher / Experience are eligible to apply. More details about qualifications, job description and roles & responsibilities are as follows
Name of the Company |
NCSi |
Required Qualifications |
Graduate |
Skills |
Programming Language, SQL and database
management systems |
Category |
Data analytics |
Work Type |
Onsite |
NCSi
is seeking a highly skilled Data Engineer to join their dynamic team. In this
role, you will be responsible for designing, implementing, and maintaining data
pipelines and infrastructure to support their data analytics and reporting
initiatives. You will collaborate with data scientists, analysts, and other
stakeholders to ensure data quality and availability. The ideal candidate has a
strong background in data architecture, data warehousing, and ETL processes.
Θ Positions: Data
Engineer
Θ Job
Location:
Pune
Θ Salary: As Per Company
Norms
Θ Job Type: Full Time
Θ Requisition
ID: 2025082010190455
Roles and
Responsibilities:
- Design and implement data pipelines to ingest and process data from various sources.
- Optimize and maintain existing data systems for performance and scalability.
- Monitor and troubleshoot data quality issues and resolve them promptly.
- Collaborate with cross-functional teams to gather data requirements and deliver effective data solutions.
- Develop and maintain documentation for data processes and systems.
- Ensure data security and integrity in compliance with industry standards.
Required
Skills & Qualifications:
- Proficiency in programming languages such as Python, Java, or Scala.
- Strong experience with SQL and database management systems (e.g., MySQL, PostgreSQL, or SQL Server).
- Familiarity with data warehousing concepts and tools, such as AWS Redshift, Google BigQuery, or Snowflake.
- Knowledge of ETL tools (e.g., Apache NiFi, Talend, or Informatica).
- Experience with big data technologies (e.g., Apache Hadoop, Spark, or Kafka) is a plus.
- Understanding of cloud platforms (e.g., AWS, Azure, or Google Cloud Platform).
- Strong analytical and problem-solving skills with attention to detail.
- Excellent communication and teamwork abilities.
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