Big Data Developer
5 days ago
Job Description :
Skillset : Azure, Scala, Spark, Pyspark, Hadoop, Hive
Location : Remote
Experience : 6+ Years
Job Description :
As a Big Data Engineer, you will be responsible for designing, developing, and maintaining big data solutions to support data-driven decision-making.
You will work with large datasets, implement data pipelines, and build data products.
Key Responsibilities :
- Design and develop scalable data pipelines using Apache Spark and other big data technologies.
- Extract, transform, and load (ETL) data from various sources into data lakes and data warehouses.
- Design and implement data models to support business analytics and reporting.
- Perform data analysis and generate insights using SQL, Python, and other tools.
- Create data visualizations using tools like Tableau or Power BI.
- Leverage cloud platforms like AWS, Azure, or GCP to deploy and manage big data solutions.
- Utilize cloud-native services like EMR, Databricks, and Redshift.
- Identify and resolve performance bottlenecks in data pipelines and queries.
- Ensure data quality, consistency, and security.
Required Skills and Experience :
- Strong proficiency in Scala and Python programming languages.
- In-depth knowledge of Apache Spark and its core components (Spark SQL, Spark Streaming, Spark Core).
- Experience with big data technologies like Hadoop, Hive, and HBase.
- Expertise in data warehousing concepts and data modeling techniques.
- Proficiency in SQL and database technologies.
- Experience with cloud platforms (AWS, Azure, GCP) and cloud-native tools.
- Strong analytical and problem-solving skills.
- Excellent communication and collaboration skills.
Preferred Skills :
- Experience with machine learning and AI frameworks (e., TensorFlow, PyTorch).
- Knowledge of data visualization tools (e., Tableau, Power BI).
- Experience with real-time data processing and stream processing frameworks (e., Kafka, Flink)
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