Data Architect
Lecan Solutions · Bengaluru · onsite · Posted 1d ago
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About this role
Job Description: Data Engineer / Data Architect
Location: Bangalore, Karnataka
Experience: 7+ Years
Primary Skills: Informatica, Snowflake, Oracle SQL/PLSQL, PySpark, Data Analysis
Job Type: Full-Time
We are seeking an experienced Data Engineer / Data Architect with strong expertise in Informatica, Snowflake, Oracle, PySpark, and Data Analysis. The ideal candidate will be responsible for designing and implementing scalable data solutions, developing efficient ETL/ELT pipelines, and supporting enterprise data warehousing, analytics, and reporting initiatives.
Key Responsibilities- Design and implement enterprise data architecture, data models, and data integration solutions.
- Develop, maintain, and optimize ETL/ELT pipelines using Informatica.
- Build and optimize data processing pipelines using Snowflake and PySpark.
- Develop complex SQL queries, stored procedures, and data integrations using Oracle SQL/PLSQL.
- Perform data analysis, data profiling, data validation, and troubleshooting.
- Optimize Snowflake queries, data transformations, and pipeline performance.
- Ensure data quality, consistency, integrity, and reliability across enterprise data systems.
- Collaborate with business analysts, data architects, and technical teams to translate business requirements into scalable data solutions.
- Support enterprise reporting, business intelligence, and analytics initiatives.
- Prepare technical documentation and follow data governance and development best practices.
- 7+ years of experience in Data Engineering, Data Architecture, or a related field.
- Strong hands-on experience with Informatica for ETL/ELT development and data integration.
- Extensive experience with Snowflake, including data loading, transformations, query optimization, and data warehousing.
- Strong knowledge of Oracle SQL and PL/SQL, including complex queries and stored procedures.
- Hands-on experience with PySpark for large-scale data processing and transformation.
- Solid understanding of data modeling, dimensional modeling, data warehousing, and database design.
- Experience in data analysis, data profiling, data validation, and issue resolution.
- Strong analytical, problem-solving, and communication skills.
- Ability to work with business stakeholders and technical teams in an enterprise environment.
- Experience with cloud platforms such as Microsoft Azure or AWS.
- Exposure to Power BI, Tableau, or other business intelligence tools.
- Knowledge of data governance, metadata management, and data quality frameworks.
- Informatica or Snowflake certifications.
- Experience working with large-scale enterprise data platforms and cloud data warehouses.
Bangalore, Karnataka, India
Recruitment Keywords: Data Engineer, Data Architect, Informatica, Snowflake, Oracle SQL, Oracle PL/SQL, PySpark, ETL, ELT, Data Modeling, Data Warehousing, Data Analysis, Azure, AWS.
Thanks & Regards,
Shilpi Kumari
Recruiting Analyst
India Recruitment
Lecan Solutions PVT LTD
[email removed]
Sourced from naukri
Skills
About Lecan Solutions
Lecan Solutions
Recruitment
51-200
employees
2004
22 years old
Naraina
IN
₹2.7L PA avg
Avg at Lecan Solutions
₹15L – ₹35L PA
This role
About
Job Description Python Spark Developer
Position
Python Spark Developer
Experience
3 to 7 Years
Work Location
- Chennai – Sholinganallur SEZ
- Bangalore – RMZ Ecoworld, Bellandur
Job Summary
We are seeking a highly skilled Python Spark Developer with strong expertise in big data technologies and distributed data processing. The ideal candidate should have hands-on experience in Python, Apache Spark, SQL, Unix Shell Scripting, and Airflow, along with a solid understanding of the Hadoop ecosystem.
The candidate will be responsible for designing, developing, optimizing, and maintaining scalable data processing applications while collaborating with cross-functional teams and mentoring junior developers.
Key Responsibilities
- Develop and maintain scalable applications using Python and Apache Spark.
- Design and implement data processing pipelines using:
- Spark Core
- Spark SQL
- Spark Streaming
- Work extensively with the Hadoop Ecosystem for distributed data processing.
- Perform data manipulation, transformation, and analysis using Pandas.
- Develop and manage workflows using Apache Airflow.
- Write efficient and optimized SQL queries and Unix Shell scripts.
- Design low-latency, high-availability, and high-performance applications.
- Perform coding, testing, debugging, troubleshooting, and deployment activities.
- Monitor and optimize application performance, scalability, and usability.
- Implement automation and performance tuning solutions.
- Lead and mentor junior Python developers and provide technical guidance.
- Collaborate with stakeholders, architects, analysts, and development teams to deliver quality solutions.
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Culture
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Career growth
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Work-life
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