More jobs:
Data Engineer
Job in
500016, Prakāshamnagar, Telangana, India
Listed on 2026-02-03
Listing for:
Confidential
Full Time
position Listed on 2026-02-03
Job specializations:
-
IT/Tech
Data Engineer, Big Data
Job Description & How to Apply Below
Job Title:
Senior Data Engineer Location Hyderabad, Telangana, India
Key Responsibilities As a Senior Data Engineer, you will:
Data Pipeline Development: Design, build, and maintain scalable data pipelines using PySpark and Python.
AWS Cloud Integration: Work with AWS cloud services (S3, Lambda, Glue, EMR, Redshift) for data ingestion, processing, and storage.
ETL Workflow Management: Implement and maintain ETL workflows using DBT and orchestration tools (e.g., Airflow).
Data Warehousing: Design and manage data models in Snowflake, ensuring performance and reliability.
SQL Optimization: Utilize SQL for querying and optimizing datasets across different databases.
Data Integration: Integrate and manage data from Mongo
DB, Kafka, and other streaming or No
SQL sources.
Collaboration & Support: Collaborate with data scientists, analysts, and other engineers to support advanced analytics and Machine Learning (ML) initiatives.
Data Quality & Governance: Ensure data quality, lineage, and governance through best practices and tools.
Mandatory Skills & Experience Strong programming skills in Python and PySpark .
Hands-on experience with AWS data services (S3, Lambda, Glue, EMR, Redshift).
Proficiency in SQL and experience with DBT for data transformation.
Experience with Snowflake for data warehousing.
Knowledge of Mongo
DB , Kafka , and data streaming concepts.
Good understanding of data architecture, data modeling, and data governance .
Familiarity with large-scale data platforms.
Essential Professional Skills Excellent problem-solving skills .
Ability to work independently or as part of a team .
Experience with CI/CD and Dev Ops practices in a data engineering environment (Plus).
Qualifications Proven hands-on experience working with large-scale data platforms .
Strong background in Python, PySpark, AWS , and modern data warehousing tools such as Snowflake and DBT .
Familiarity with No
SQL databases like Mongo
DB and real-time streaming platforms like Kafka.
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