Data Engineer
Location: Bengaluru; Hyderabad
Department: Techinical
Experience: 3-7
Job Summary
Roles and Responsibilities
- Design, build, and maintain efficient, scalable, and reliable data pipelines.
- Develop ETL/ELT processes for ingestion, transformation, and loading of large data sets.
- Work with structured and unstructured data from multiple sources.
- Implement and manage data workflows using modern data engineering tools (e.g., Airflow, Databricks, Glue).
- Collaborate with data scientists, analysts, and business teams to understand data needs.
- Optimize database performance and ensure data quality, accuracy, and availability.
- Manage data integration across cloud environments (AWS, Azure, or GCP).
- Implement data governance, security, and compliance standards.
- Automate data validation, monitoring, and alerting systems.
- 3–7 years of experience as a Data Engineer or in a similar data-focused role.
- Strong proficiency in Python or Scala for data processing.
- Hands-on experience with Big Data frameworks such as Spark, Hadoop, or Flink.
- Expertise in SQL and experience with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, Cassandra, etc.).
- Experience with data warehousing solutions (Snowflake, Redshift, BigQuery, Synapse).
- Familiarity with ETL tools and data orchestration frameworks (Airflow, NiFi, Glue).
- Experience with cloud platforms (AWS, Azure, or GCP) for data services and storage.
- Understanding of data modeling, data lakes, and data pipelines.
- Strong problem-solving, analytical, and communication skills.
- Experience with streaming technologies (Kafka, Kinesis, or Pub/Sub).
- Familiarity with containerization and DevOps tools (Docker, Kubernetes, CI/CD).
- Exposure to machine learning pipelines or data science integration.
- Knowledge of data governance tools and practices.
- Cloud certification (AWS Data Analytics, Azure Data Engineer, or GCP Data Engineer).
Why Join Us
- Opportunity to work on cutting-edge data engineering and analytics projects.
- Collaborative and growth-oriented work environment.
- Competitive compensation and benefits.
- Exposure to global clients and large-scale data systems.
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