Power Grid Corporation of India Limited (POWERGRID), is a Schedule ‘A’, ‘Maharatna’ Public Sector Enterprise of Govt. of India which was incorporated on 23rd Oct 1989 under the Company Act, 1956. POWERGRID is a listed Company, with 51.34% holding of Government of India and the balance is held by Institutional Investors and public.

Essential Qualification
Full Time B.E./ B.Tech/ B.Sc (Engg.) /MCA from recognized University/ Institute with
minimum 70% marks or equivalent CGPA. M.Tech. in Data Analytics is preferred.
Essential Certification
Certification (Professional/ Administrator level) in any one of the below mentioned technology stacks:
• Microsoft SQL Server (OEM certificate only) / PostgreSQL (EDB Certification only) / MySQL (OEM certificate only)
• Apache Spark (Cloudera/ Hortonworks HDP Certified Spark Developer/ MapR Certified Spark Developer/ Databricks Apache Spark Certifications/ O’Reilly Developer Apache Spark Certifications are acceptable)/ Apache Kafka (Only Confluent Certification is acceptable)
• MongoDB (OEM Certificate only)/ Cassandra (DataStax Certification)/ HBase (Cloudera Certification)
• SAP Business Objects/ SAP Integration Suite/ SAP HANA/ SAP Analytics Cloud  certification from SAP only M.Tech. in Data Analytics shall also be considered in lieu of Certification
Experience
Candidates Should have Three years post qualification experience in Executive/Gazetted officer cadre of which at least two years in following pay scale or equivalent level**:
IDA : Rs. 50,000 – 1,60,000 or
Govt : Candidates should be holding gazetted post (at least Gr-B)
**Private sector: Minimum Monthly gross emoluments of Rs. 76500/-
Relevant Experience Profile
o Should have minimum 2 years of post-qualification experience as Data Engineer after
certification in relevant field.
o Should have Technical expertise with data models, data mining, and segmentation
techniques
o Should have Knowledge of programming languages (e.g. Java, Python- pandas / NumPy, R)
o Should have hands-on experience with SQL/NoSQL databases like Microsoft SQL
Server / PostgreSQL / MySQL / MongoDB / Cassandra / HBase.
o Should be competent to analyze and organize raw data, build data systems and
pipelines, evaluate business needs and objectives, interpret trends and patterns.
o Should be able to conduct complex data analysis and report on results, combine raw
information from different sources, explore ways to enhance data quality and reliability, identify opportunities for data acquisition.
o Should be competent in processing, cleansing, and verifying the integrity of data used
for analysis, doing ad-hoc analysis and presenting results in a clear manner, and constant tracking of its performance.
o Should possess experience in a Data Engineer role in implementation & maintenance
in any of the any one of following technology stack:
• Experience with big data tools: Hadoop / Apache Spark / Apache Kafka / Apache Flink.
• Experience in ETL Tools like SSIS / Apache Nifi / SAP BO Data Integrator / Informatica
o Experience in PSU/Listed Company will be preferred.