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Senior Analyst at eClerx Career Site

Pune, maharashtra, India -

Full Time

Start Date

Immediate

Expiry Date

10 Jun, 26

Salary

0.0

Posted On

12 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Sql, Python, Data Pipelines, Etl/Elt, Data Modeling, Data Warehousing, Data Quality, Automation, Performance Tuning, Query Optimization, Large Datasets, Data Validation, Monitoring, Cloud Platforms, Big Data Technologies, Orchestration Tools

Industry

IT Services and IT Consulting

Description

Role Overview We are seeking a skilled Data Engineer with strong expertise in SQL and Python to design, build, and maintain scalable data pipelines and data solutions. The ideal candidate will work closely with analytics, data science, and business teams to ensure high-quality and reliable data delivery. Key Responsibilities * Design, develop, and maintain data pipelines and ETL/ELT processes * Write complex and optimized SQL queries for data extraction, transformation, and analysis * Develop data processing and automation scripts using Python * Ensure data quality, integrity, and reliability across systems * Work with structured and semi-structured data from multiple sources * Optimize data models and database performance * Collaborate with stakeholders to understand data requirements and deliver solutions Required Skills & Qualifications * Strong experience in SQL (complex joins, performance tuning, query optimization) * Strong hands-on experience in Python for data engineering and automation * Experience with data modeling and warehousing concepts * Knowledge of ETL/ELT frameworks and workflows * Experience handling large datasets * Understanding of data quality, validation, and monitoring practices Good to Have * Experience with cloud platforms (AWS/GCP/Azure) * Exposure to big data technologies (Spark, Hadoop) * Experience with orchestration tools (Airflow, Prefect) * Knowledge of version control systems (Git)

Responsibilities

The role involves designing, building, and maintaining scalable data pipelines and data solutions using strong expertise in SQL and Python. Key tasks include developing ETL/ELT processes and ensuring high-quality, reliable data delivery for analytics and business teams.