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Senior Data Integration Developer (SQL/Python)

0 years

17 - 20 Lacs

Posted:1 day ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Job Description: This position is for a senior software engineer who is passionate about solving challenging business problems and has - ✓ Strong experience in developing ETL pipeline using SQL, T-SQL, stored procedures, SQL server, performance tuning of queries and stored procedures. ✓ Experience in troubleshooting and resolving database integrity issues, performance issues, deadlock issues, connectivity issues, etc. ✓ Hands-on and strong knowledge of data frames and pandas in Python. Reading data from excel, CSV, SQL, and JSON and writing to SQL and JSON. Sql ✓ Excellent communication skills and client-facing experience. Strong experience in DDL and DML commands, UNIONS, JOINS, Subqueries, execution plan, CTE, Pivot/unpivot and indexes. Strong experience in sorting & filtering data, grouping & functions for data processing (Aggregation functions, ranking functions…etc.). Strong experience in creating tables, views, triggers, partitions, complex stored procedures, functions, indexes, and other database objects for data extraction loading and transformations. Performing routine data quality checks and validations to ensure data integrity and consistency. Python Strong Proficiency in Python Programming: hands-on experience. JSON Data Parsing: Extensive experience in handling JSON data formats and implementing parsing techniques. RESTful API & Google Analytics Integration: Skilled in development, integration, and optimization. Secure File Transfer Protocols: Proficient in working with SFTP for secure data transfers. Web Scraping: Experience using tools like Beautiful Soup, Scrapy, and Selenium for data extraction. Python Libraries: Familiar with libraries like NumPy and Pandas for data manipulation and analysis. Performance Optimization: Expertise in debugging and optimizing code for scalability and efficiency. Machine Learning Models (Added Advantage): Experience in developing, training, and deploying machine learning models for predictive analytics. Skills: sql server,scrapy,t-sql,etl pipeline development,sql,pandas,performance tuning,etl development,numpy,sftp,machine learning,selenium,python,data parsing,beautiful soup,stored procedures,data frames,restful api,google analytics integration,rest api integration,web scraping

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