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2 days ago
A highly skilled Senior ETL Data Engineer is required to design and develop complex data pipelines and solutions using modern Big Data and cloud technologies.
Key Responsibilities:- Design, develop, and implement robust ETL pipelines using Ab Initio, Informatica, DBT, and Apache Spark.
- Leverage distributed data processing tools like Hadoop, Hive, Kafka, and Spark to build scalable data workflows.
- Implement efficient data ingestion and transformation techniques working with various structured and unstructured data sources.
- Write optimized SQL queries and manage stored procedures for complex data processing tasks.
- Orchestrate workflows using Airflow, AWS Step Functions, or similar schedulers.
- Collaborate with cross-functional teams to understand data needs and deliver high-quality datasets for analytics and reporting.
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 4+ years of hands-on experience in ETL development, data engineering, and data pipeline orchestration.
- Strong working knowledge of Ab Initio, Informatica, or similar ETL tools.
- Expertise in Python, PySpark, or Scala for data processing.
- Proven experience in Big Data technologies (Hadoop, Hive, Spark, Kafka).
- Proficient with AWS services related to data engineering (EMR, Glue, Lambda, Athena, S3).
- In-depth understanding of data modeling, ETL cycle, data warehousing, and data management principles.
- Hands-on experience with relational (PostgreSQL, MySQL) and columnar databases (Redshift, HBase, Snowflake).
- Familiarity with containerization (Docker), CI/CD pipelines (Jenkins), and Agile tools (Jira).
- Hybrid work model with flexibility to work from home and office.
- Exposure to cutting-edge technologies and high-impact projects.
- Collaborative team environment with opportunities for growth and innovation.
- Culture that values ownership, continuous learning, and mutual respect.
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