Data Engineer Python SQL & Data Pipelines
Location: Bhubaneswar Odisha
Department: Data Science
Job Type: Full-time
Experience: 01 year
About StratLytics
StratLytics is a data science AI and analytics consulting firm building analytics and AI solutions for enterprise clients across financial services fintech risk analytics manufacturing retail and other sectors. We combine data engineering machine learning Generative AI decision intelligence and business workflow automation to solve high-impact business problems.
Role Overview
We are hiring a Junior Data Engineer to support data engineering and analytics work for confidential client initiatives.
This is an entry-level hands-on role focused on SQL Python data cleaning data validation data transformation database loading documentation and support for analytics and AI workflows.
The selected candidate will work with senior data scientists AI engineers and data engineers to build reliable datasets validate business data prepare data pipelines and support analytics systems.
This role is suitable for freshers or junior professionals with strong fundamentals in SQL Python databases and problem-solving even if you have limited professional experience.
Requirements
01 year of experience in data engineering analytics software development or related project work.
Strong fundamentals in SQL and basic Python programming.
Hands-on exposure to Pandas for data cleaning or analysis.
Basic understanding of relational databases such as PostgreSQL MySQL SQL Server or similar.
Ability to work with CSV Excel JSON and database tables.
Understanding of data cleaning validation and transformation concepts.
Familiarity with Git / GitHub is preferred.
Exposure to Docker APIs Airflow dbt PySpark or cloud tools is a plus but not mandatory.
Strong analytical thinking problem-solving ability and willingness to learn.
Ability to work from StratLytics Bhubaneswar office.
/ B.E. / MCA / . / . in Computer Science IT Data Science Statistics Mathematics Engineering or related field preferred.
Benefits
Opportunity to start your career in data engineering analytics and AI systems.
Hands-on exposure to real client projects involving SQL Python databases and data pipelines.
Opportunity to work with mature overseas professionals and international client teams.
Work closely with senior data scientists AI engineers data engineers and business stakeholders.
Structured learning environment with strong encouragement for continuous learning and upskilling.
Access to internal training mentoring project guidance and knowledge-sharing sessions.
Career growth path into Data Engineer Analytics Engineer or AI Data Engineer roles.
Competitive compensation based on skills and assignment performance.
Healthcare / medical insurance benefits as per company policy.
Opportunity to contribute to StratLytics growing AI and analytics practice from Bhubaneswar.
Professional intellectually challenging and execution-focused work environment.
Required Skills:
01 year of experience in data engineering analytics software development or related project work. Strong fundamentals in SQL and basic Python programming. Hands-on exposure to Pandas for data cleaning or analysis. Basic understanding of relational databases such as PostgreSQL MySQL SQL Server or similar. Ability to work with CSV Excel JSON and database tables. Understanding of data cleaning validation and transformation concepts. Familiarity with Git / GitHub is preferred. Exposure to Docker APIs Airflow dbt PySpark or cloud tools is a plus but not mandatory. Strong analytical thinking problem-solving ability and willingness to learn. Ability to work from StratLytics Bhubaneswar office. / B.E. / MCA / . / . in Computer Science IT Data Science Statistics Mathematics Engineering or related field preferred.
Required Education:
/ B.E. / MCA / . / . in Computer Science IT Data Science Statistics Mathematics Engineering or a related field preferred.
Data Engineer Python SQL & Data PipelinesLocation: Bhubaneswar OdishaDepartment: Data ScienceJob Type: Full-timeExperience: 01 yearAbout StratLyticsStratLytics is a data science AI and analytics consulting firm building analytics and AI solutions for enterprise clients across financial services fin...
Data Engineer Python SQL & Data Pipelines
Location: Bhubaneswar Odisha
Department: Data Science
Job Type: Full-time
Experience: 01 year
About StratLytics
StratLytics is a data science AI and analytics consulting firm building analytics and AI solutions for enterprise clients across financial services fintech risk analytics manufacturing retail and other sectors. We combine data engineering machine learning Generative AI decision intelligence and business workflow automation to solve high-impact business problems.
Role Overview
We are hiring a Junior Data Engineer to support data engineering and analytics work for confidential client initiatives.
This is an entry-level hands-on role focused on SQL Python data cleaning data validation data transformation database loading documentation and support for analytics and AI workflows.
The selected candidate will work with senior data scientists AI engineers and data engineers to build reliable datasets validate business data prepare data pipelines and support analytics systems.
This role is suitable for freshers or junior professionals with strong fundamentals in SQL Python databases and problem-solving even if you have limited professional experience.
Requirements
01 year of experience in data engineering analytics software development or related project work.
Strong fundamentals in SQL and basic Python programming.
Hands-on exposure to Pandas for data cleaning or analysis.
Basic understanding of relational databases such as PostgreSQL MySQL SQL Server or similar.
Ability to work with CSV Excel JSON and database tables.
Understanding of data cleaning validation and transformation concepts.
Familiarity with Git / GitHub is preferred.
Exposure to Docker APIs Airflow dbt PySpark or cloud tools is a plus but not mandatory.
Strong analytical thinking problem-solving ability and willingness to learn.
Ability to work from StratLytics Bhubaneswar office.
/ B.E. / MCA / . / . in Computer Science IT Data Science Statistics Mathematics Engineering or related field preferred.
Benefits
Opportunity to start your career in data engineering analytics and AI systems.
Hands-on exposure to real client projects involving SQL Python databases and data pipelines.
Opportunity to work with mature overseas professionals and international client teams.
Work closely with senior data scientists AI engineers data engineers and business stakeholders.
Structured learning environment with strong encouragement for continuous learning and upskilling.
Access to internal training mentoring project guidance and knowledge-sharing sessions.
Career growth path into Data Engineer Analytics Engineer or AI Data Engineer roles.
Competitive compensation based on skills and assignment performance.
Healthcare / medical insurance benefits as per company policy.
Opportunity to contribute to StratLytics growing AI and analytics practice from Bhubaneswar.
Professional intellectually challenging and execution-focused work environment.
Required Skills:
01 year of experience in data engineering analytics software development or related project work. Strong fundamentals in SQL and basic Python programming. Hands-on exposure to Pandas for data cleaning or analysis. Basic understanding of relational databases such as PostgreSQL MySQL SQL Server or similar. Ability to work with CSV Excel JSON and database tables. Understanding of data cleaning validation and transformation concepts. Familiarity with Git / GitHub is preferred. Exposure to Docker APIs Airflow dbt PySpark or cloud tools is a plus but not mandatory. Strong analytical thinking problem-solving ability and willingness to learn. Ability to work from StratLytics Bhubaneswar office. / B.E. / MCA / . / . in Computer Science IT Data Science Statistics Mathematics Engineering or related field preferred.
Required Education:
/ B.E. / MCA / . / . in Computer Science IT Data Science Statistics Mathematics Engineering or a related field preferred.
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