Data Engineer (Delhi)

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Key Responsibilities:

Excellent Skills on SQL/PL SQL (Writing Stored Procedures, Triggers , UDFs)
Worked on SQL Constructs like Joins, CTEs, Window functions, Indexing.
Strong hands on experience on RDBMS including but not limited to MySQL, PostgreSQL.
Data Processing Frameworks: PySpark for ETL Processing, Apache Airflow for Orchestrating Workflows, Strong hands on experience building ETL Pipelines on any Cloud Platform (Preferable AWS)
Databases and Data Warehousing: Hands on experience on SQL Dbs. (PostgreSQL, MySQL), Good to have exposure/understanding of No SQL Dbs. (MongoDB/Document DB)
Hands on experience on designing and developing code for building Data Warehouses on Redshift/Snowflake.
Cloud Platforms: AWS (S3, Glue, Athena, Redshift, Lambda, EMR)
Data Pipelines & ETL Tools: Apache Airflow (Scheduling & workflow automation), AWS Glue (ETL jobs in AWS)
Data Modeling & Optimization: Star & Snowflake Schema, Partitioning & Clustering Indexing & Query Optimization
CI/CD & DevOps for Data Engineering: Git/GitHub/GitLab (Version control)

Experience:
4 - 6 Years
Salary:
12 LPA - 15 LPA
Diversity Candidate:
Yes
Location:
Delhi
Address:
Delhi
Primary Skills:
Data Engineering, SQL/PLSQL, Data Warehousing, Pyspark, Apache Airflow, ETL pipelines, AWS, Ci/cd, data modelling
Industry:
Information Technology
Job Type:
Full time
Degree:
Bsc, Msc, B.tech, Mtech, BCA, MCA