Senior Data Engineer

2 days ago


Hyderabad, Telangana, India Techmora Full time

Job Title : Senior Data Engineer

Experience : 6- 8 Years

Location : Bangalore / Hyderabad

Employment Type : Full-time

Notice Period : 15 Days

About the Role :


We are seeking a highly skilled Senior Data Engineer to design, build, and optimize scalable data pipelines and architectures. The ideal candidate will have deep expertise in modern data engineering technologies, cloud platforms, and distributed systems, ensuring reliable, secure, and high-performance data infrastructure that supports analytics, machine learning, and business Responsibilities :


- Design, develop, and maintain scalable ETL/ELT pipelines for structured and unstructured data.

- Architect and implement data warehouse, lakehouse, or data lake solutions on cloud platforms (AWS / Azure / GCP).

- Optimize data processing workflows for performance, scalability, and cost-efficiency.

- Ensure data quality, governance, lineage, and security across platforms.

- Collaborate with Data Scientists, Analysts, and Product teams to provide clean, reliable datasets for analytics and ML models.

- Implement and manage real-time/streaming data pipelines (Kafka, Spark Streaming, Flink, etc.).

- Drive best practices in data modeling, query optimization, and schema design.

- Automate monitoring, testing, and deployment of data workflows using CI/CD and DevOps practices.

- Mentor and guide junior data engineers, fostering technical excellence within the Skills & Experience :


- 6- 8 years of proven experience as a Data Engineer in large-scale environments.

- Strong expertise in SQL, Python/Scala/Java for data processing.

- Hands-on experience with Big Data technologies: Hadoop, Spark, Hive, Presto, etc.

- Deep knowledge of cloud platforms (AWS / Azure / GCP) and services like Redshift, Snowflake, BigQuery, Synapse, Databricks, etc.

- Proficiency in data warehousing, ETL/ELT tools (Informatica, Talend, Airflow, dbt, etc.).

- Experience with streaming platforms (Kafka, Kinesis, Pub/Sub).

- Strong background in data modeling, performance tuning, and storage optimization.

- Knowledge of DevOps/CI-CD, containerization (Docker, Kubernetes) is a plus.

(ref:hirist.tech)

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