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Data Engineer
Actively Reviewing
Deservely Technologies
Job Description
Experience: 4–8 Years
Location: Indore/Bengaluru/Hyderabad /Pune
Employment Type: Full-Time / Contract / Contract-to-Hire
We are looking for a skilled Data Engineer with 4–8 years of experience in designing, building, and maintaining scalable data pipelines and data platforms. The ideal candidate should have strong expertise in SQL, Python, and ETL/ELT processes, with hands-on experience in developing reliable data solutions for analytics and business intelligence.
The candidate should be proficient in working with relational and cloud-based databases such as MySQL, PostgreSQL, SQL Server, Snowflake, or BigQuery. Experience with data integration tools, workflow orchestration frameworks like Apache Airflow, and distributed data processing using Apache Spark is highly desirable. Strong knowledge of data modeling, data warehousing, performance optimization, and data quality management is essential.
Hands-on experience with cloud platforms such as AWS, Azure, or GCP, along with services like S3, Azure Data Factory, AWS Glue, or Google Cloud Storage, is preferred. Familiarity with Git, CI/CD pipelines, and scripting for automation is required.
The ideal candidate should possess excellent analytical and problem-solving skills, work effectively in Agile environments, collaborate with cross-functional teams, and ensure secure, scalable, and high-quality data solutions that support business reporting, machine learning, and operational applications.
Skills: data,sql,cloud,aws
Location: Indore/Bengaluru/Hyderabad /Pune
Employment Type: Full-Time / Contract / Contract-to-Hire
We are looking for a skilled Data Engineer with 4–8 years of experience in designing, building, and maintaining scalable data pipelines and data platforms. The ideal candidate should have strong expertise in SQL, Python, and ETL/ELT processes, with hands-on experience in developing reliable data solutions for analytics and business intelligence.
The candidate should be proficient in working with relational and cloud-based databases such as MySQL, PostgreSQL, SQL Server, Snowflake, or BigQuery. Experience with data integration tools, workflow orchestration frameworks like Apache Airflow, and distributed data processing using Apache Spark is highly desirable. Strong knowledge of data modeling, data warehousing, performance optimization, and data quality management is essential.
Hands-on experience with cloud platforms such as AWS, Azure, or GCP, along with services like S3, Azure Data Factory, AWS Glue, or Google Cloud Storage, is preferred. Familiarity with Git, CI/CD pipelines, and scripting for automation is required.
The ideal candidate should possess excellent analytical and problem-solving skills, work effectively in Agile environments, collaborate with cross-functional teams, and ensure secure, scalable, and high-quality data solutions that support business reporting, machine learning, and operational applications.
Skills: data,sql,cloud,aws
Required Skills
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