Posted:12 hours ago|
Platform:
Work from Office
Full Time
- Minimum 4-6 years of experience in data Engineering, data modeling, database design,
and data warehousing.
• Design and implement complex, large-scale data solutions using technologies such
as ADF, Databricks, Pyspark, Python, and SQL.
• Strong proficiency in SQL and experience with relational databases (e.g.,
PostgreSQL, MySQL, SQL Server).
• Proficiency in Python.
• Experience with building and optimizing data pipelines using ETL/ELT tools and
frameworks (e.g., Apache Airflow, dbt, Informatica, Talend, custom scripts).
• Hands-on experience with big data technologies (e.g., Apache Spark, Hadoop
ecosystem - HDFS, MapReduce, Hive).
• Experience with cloud platforms (e.g., Azure - ADLS, Databricks, Synapse; GCP -
GCS, BigQuery, Dataflow).
• Understanding of data warehousing concepts and experience with data warehouse
solutions (e.g., Snowflake, Redshift, BigQuery, Synapse Analytics).
• Familiarity with NoSQL databases (e.g., MongoDB, Cassandra) is a plus.
• Experience with version control systems (e.g., Git).
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration skills, with the ability to work effectively in
a team environment.
• Ability to manage multiple tasks and projects simultaneously.
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