
Data Engineer
21 hours ago
Hi
Role - Azure Data Engineer
Location - Chennai, Gurugram (5days Office)
Full time
Shift timing 2pm to 11pm
Key Responsibilities:
· Develop, maintain, and optimize scalable ETL/ELT pipelines using PySpark and Databricks.
· Collaborate with cross-functional teams to design and implement data models and data integration solutions.
· Create and maintain robust SQL scripts for querying, transforming, and analyzing data.
· Work on Databricks to manage big data workloads and ensure optimal performance for large-scale datasets.
· Ensure data quality, integrity, and governance across the organization's data assets.
· Automate data workflows and deploy reliable solutions for real-time data processing.
· Debug and troubleshoot performance issues with data pipelines and implement enhancements.
· Stay up-to-date with emerging trends and best practices in data engineering and big data technologies.
Required Skills and Qualifications:
· Educational Background:
o Bachelor's or Master's degree in Computer Science, Information Technology, Data Science, or a related field.
o Certifications in Databricks, Azure, or related technologies are a plus.
· Technical Skills:
o Proficiency in SQL for complex queries, database design, and optimization.
o Strong experience with PySpark for data transformation and processing.
o Hands-on experience with Databricks for building and managing big data solutions.
o Familiarity with cloud platforms like AWS, Azure, or Google Cloud.
o Knowledge of data warehousing concepts and tools (e.g., Snowflake, Redshift).
o Experience with data versioning and orchestration tools like Git, Airflow, or Dagster.
o Solid understanding of Big Data ecosystems (Hadoop, Hive, etc.).
Preferred Qualifications:
· 4+ years of relevant work experience in data engineering or software engineering equivalent.
· 3+ years of experience in implementing big data processing technology: AWS / Azure / GCP, Apache Spark, Python.
- Experience writing and optimizing SQL queries in a business environment with large-scale, complex datasets
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