Looking For Data Integration Developer ( Python + SQL)

TechTriad, Inc.

Hyderabad

Hybride

INR 2 000 000 - 3 600 000

Plein temps

Il y a 13 jours

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Avantages offerts par ce poste

Hybrid work arrangement

Wednesday work from home

Résumé du poste

TechTriad Technology Solutions Pvt Ltd in Hyderabad invites a Senior Data Integration Developer to design and build robust ETL pipelines. You will work on SQL, T‑SQL, stored procedures, and Python to move and transform data across systems, with emphasis on performance and reliability.

The role requires hands-on experience with JSON, CSV, Excel data sources, SSIS, and Azure Data Integration concepts, plus strong communication for client-facing work.

Qualifications

Senior software engineer with 10+ years of experience in data integration and ETL development.
Proficient in SQL/T‑SQL, stored procedures, and performance tuning for large data loads.
Hands-on with Python data processing, JSON parsing, and data source variety (CSV/Excel/SQL/JSON).
Excellent communication and client-facing experience.

Responsabilités

Design and implement ETL pipelines using SQL, T‑SQL, and SSIS for reliable data movement.
Troubleshoot data integrity, performance, and deadlock issues across systems.
Work with Python to read/write CSV, JSON, Excel and SQL data; optimize for scale.
Collaborate with clients and teams; document processes and best practices.
Maintain data models, schemas, and procedural logic for data extraction and transformation.

Connaissances

ETL pipeline

SQL

T-SQL

Stored procedures

SQL Server

Performance tuning

Python programming

JSON parsing

RESTful API integration

Web scraping

Pandas

NumPy

Data frames

Outils

SSIS

Beautiful Soup

Scrapy

Selenium

Pandas

NumPy

Azure Data Integration

Description du poste

Job Tittle: Data Integration Developer

Exp: 10 +years.

Shift timing: 1 pm to 10 pm IST / 2 pm to 11 pm IST

4 days working from the office and every Wednesday working from home)

Hyderabad Gachibowli

The Opportunity

This position is ideal 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 basic knowledge of data frames and pandas in Python. Reading data from excel, CSV, SQL, and JSON and writing to SQL and JSON.
Excellent communication skills and client-facing experience

SQL

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, Rowset Functions).
Strong experience in creating tables, views, triggers, partitions, complex stored procedures, functions, indexes, and other database objects for data extraction loading and transformations.
Strong experience in data modeling and schemas, writing procedural T-SQL and stored procedures.
Experience in generating and analyzing reports from SQL databases.
Performing routine data quality checks and validations to ensure data integrity and consistency.
Knowledge of best practices for writing efficient queries with increased performance
Troubleshooting production tickets and issues that affect query performance.
Experience in SSIS is good to have.

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.
Microsoft Fabric (Added Advantage): Exposure to data analytics solutions.
Azure Data Integration (Added Advantage): Experience in pipeline development, data transformation, and cloud resource management.
Documentation: Skilled in documenting processes, workflows, and development best practices.

Required