Sr. Data Engineer

Job Title: Data Engineer
Experience: 4–6 Years
Location: Hyderabad (Onsite)
Employment Type: Contract (6 Months – 1 Year)
Industry: Information Technology / Data Engineering / Cloud
Working Model: Onsite

About the Role:

We are seeking a highly skilled and motivated Data Engineer with strong experience in building scalable data pipelines and working with modern cloud-based data ecosystems. The ideal candidate will have hands-on experience with Databricks, Apache Spark, and Google Cloud Platform (GCP), especially BigQuery, and a passion for driving data initiatives that power intelligent decision-making across the organization.

Key Responsibilities:

• Design, build, and optimize large-scale, reliable data pipelines using Databricks, GCP (BigQuery), and other modern tools.
• Perform advanced SQL querying, data wrangling, and complex data transformations to support analytics and machine learning initiatives.
• Handle structured and semi-structured data, and apply Exploratory Data Analysis (EDA) techniques to derive insights.
• Work closely with data scientists to implement and deploy data models and pipelines into production environments.
• Ensure data quality, reliability, lineage, and security across the entire data pipeline lifecycle.
• Participate in data architecture discussions and influence decisions around data design and storage strategy.
• Contribute to data democratization by ensuring business users have access to clean and usable data.
• Create detailed documentation and reusable frameworks for data ingestion, transformation, and operational workflows.

Required Skills & Qualifications:

• 3–6+ years of experience in a Data Engineering role or similar.
• Strong expertise in Databricks and Apache Spark.
• Deep hands-on experience with GCP BigQuery – including performance tuning, partitioning, and optimization.
• Proficiency in advanced SQL – including complex joins, CTEs, window functions, and query optimization.
• Solid experience with Python for data manipulation and developing robust pipelines.
• Familiarity with data science concepts – such as feature engineering, basic model implementation, and evaluation metrics.
• Knowledge of data profiling, EDA, and statistical analysis.
• Sound understanding of data structures, normalization/denormalization, and metadata management.
• Demonstrated understanding of how data impacts business decisions and product development.
• Strong problem-solving, communication, and collaboration skills.

Education:

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Computer Applications, or a related technical discipline.

Preferred Qualifications (Nice to Have):

• Exposure to modern data orchestration tools (e.g., Airflow, dbt).
• Experience working in Agile environments and cross-functional teams.

For more information or to apply, contact us at:
-career@munificentresource.in
-Call/WhatsApp: +91 9064363461
-Subject Line: Application for Data Engineer – Hyderabad

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Job Types: Full-time, Contractual / Temporary
Contract length: 6 months

Pay: Up to ₹70,000.00 per month

Work Location: In person