Data Engineer | Python|PySpark|AWS Strategic HR Solutions | | Karnataka

Job Description

About the Role : SDE 1/SDE 2

We are seeking a highly skilled and motivated Data Engineer to join our dynamic team.

You will be responsible for designing, implementing, and maintaining data pipelines to support our organization & data infrastructure and analytics initiatives. You will collaborate closely with data scientists, analysts, and other stakeholders to ensure the seamless flow of data across various systems and platforms.

Required Skills
• Proficiency in Python programming language for data manipulation and pipeline development.
• Strong understanding of SQL and relational databases for data querying and manipulation.
• Experience with version control systems like Git for code management and collaboration.
• Working knowledge on least one of the cloud platforms (AWS, GCP, Azure) is required.

Preferred Skills
• Familiarity with cloud platforms such as Azure, particularly Azure Data Factory, for data integration and orchestration.
• Experience with Databricks for big data processing and analytics.
• Knowledge of data warehousing concepts and methodologies.

Minimum Qualifications
• Bachelor degree in Computer Science, Engineering, or a related field.
• 4 to 7 years of experience in data engineering or a related role.
• Strong problem-solving skills and attention to detail.
• Excellent communication and collaboration skills.

Type : Full Time

Location : Bangalore (On-site)

Experience : 4-7.5 Years

Notice Period : Upto 30 Days

Industry Background : Data Engineering

Educational Qualifications : B.tech, BE, Mtech, ME, MCA

Must Have
• Proficiency in Python programming language
• Experience with cloud platforms such as Azure, particularly Azure Data Factory,
• Experience with Databricks for big data processing and analytics.
• Experience with Pyspark, GIT, SQL

Good To Have
• Experience with other clouds

Strictly Avoid
• High notice period
• High CTC
• Candidate Should be from Bangalore only

Skill Required : Python, PySpark, Databaricks, Azure, Datafactory, SQL, GIT