8.0 years

0 Lacs

Hyderābād

Posted:1 day ago| Platform:

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Skills Required

data duration airflow python aws engineering apache workflow orchestration writing code etl redshift spark pyspark scala design processing security deployment monitoring logging communication cataloging governance docker kubernetes

Work Mode

On-site

Job Type

Full Time

Job Description

Job Title: Senior Data Engineer Location: Hyderabad, India (Hybrid Model) Experience Required: 8+ Years Contract Duration: 1 Year Work Mode: Onsite (Hybrid Model) Job Description: We are seeking a highly skilled and experienced Senior Data Engineer for a contractual opportunity (C2C) with a duration of 1 year. The ideal candidate will have a strong background in Airflow, Python, AWS, and Big Data technologies (especially Spark) and be capable of building scalable and efficient data engineering solutions in a hybrid onsite role based in Hyderabad. Mandatory Skills: Apache Airflow: Expertise in workflow orchestration, DAG creation, and managing complex data pipelines. Python: Proficient in writing clean, scalable, and efficient code for ETL and data transformation. AWS: Hands-on experience with core AWS services like S3, Lambda, Glue, Redshift, EMR, and CloudWatch. Big Data (Spark): Strong experience with Spark (PySpark or Scala), handling large datasets and distributed computing. Key Responsibilities: Design, implement, and maintain scalable data pipelines and ETL workflows using Airflow and Python. Develop and manage robust cloud-based solutions using AWS. Collaborate with cross-functional teams including data scientists, analysts, and business stakeholders. Handle large-scale structured and unstructured data processing using Spark and related technologies. Ensure high standards of data quality, security, and governance. Apply CI/CD practices for deployment and maintain monitoring/logging mechanisms. Qualifications: Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field. Minimum of 8 years of relevant experience in Data Engineering. Strong problem-solving skills and the ability to work in a fast-paced, hybrid environment. Excellent verbal and written communication skills. Preferred Skills: Experience with data cataloging, governance, and lineage tools. Exposure to Docker/Kubernetes for containerized workloads. Knowledge of alternative orchestration tools like Prefect or Luigi is a plus. Contact Us: Email: career@munificentresource.in Call/WhatsApp: +91 90643 63461 Subject Line: Senior Data Engineer (Hyd) . Job Types: Full-time, Contractual / Temporary Contract length: 12 months Pay: ₹75,000.00 - ₹85,000.00 per month Schedule: Day shift Night shift Work Location: In person

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