Data Engineering Lead

Kanerika Inc

Hyderabad

On-site

INR 1,200,000 - 2,000,000

Full time

14 days+

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Benefits offered by this job

Flexible Working Hours
Health Insurance
Generous Parental Leave
Professional Development Programs
Company-sponsored outings

Job summary

Kanerika Inc. is seeking a Data Engineer to join their Hyderabad team. The role involves developing data pipelines, optimizing Power BI reports, and collaborating with various teams to ensure data integrity. Ideal candidates will have 8+ years of experience and a strong background in Azure and data engineering practices. Join a company recognized for its commitment to employee growth and innovative solutions in the data and AI space.

Qualifications

  • 8+ years of hands-on experience in Data Engineering or BI Developer role.
  • Proficiency with Azure Data Factory and Power BI.
  • Strong programming skills in SQL and Python.

Responsibilities

  • Develop and maintain data pipelines using Azure Data Factory.
  • Design and optimize Power BI reports and dashboards.
  • Ensure data quality and integrity throughout the data lifecycle.

Skills

Data Engineering
Power BI
Azure Data Factory
SQL
Python

Education

Bachelor's degree in Computer Science or related field

Tools

Azure Data Lake
Azure SQL Database
Databricks

Job description

Kanerika Inc. is a premier global software products and services firm that specializes in providing innovative solutions and services for data-driven enterprises. Our focus is to empower businesses to achieve their digital transformation goals and maximize their business impact through the effective use of data and AI. We leverage cutting-edge technologies in data analytics, data governance, AI-ML, GenAI/ LLM and industry best practices to deliver custom solutions that help organizations optimize their operations, enhance customer experiences, and drive growth.

Awards and Recognitions

Kanerika has won several awards over the years, including:

1. Best Place to Work 2023 by Great Place to Work

2. Top 10 Most Recommended RPA Start-Ups in 2022 by RPA Today

3. NASSCOM Emerge 50 Award in 2014

4. Frost & Sullivan India 2021 Technology Innovation Award for its Kompass composable solution architecture

5. Kanerika has also been recognized for its commitment to customer privacy and data security, having achieved ISO 27701, SOC2, and GDPR compliances.

Working for us

Kanerika is rated 4.6/5 on Glassdoor, for many good reasons. We truly value our employees' growth, well-being, and diversity, and people’s experiences bear this out. At Kanerika, we offer a host of enticing benefits that create an environment where you can thrive both personally and professionally. From our inclusive hiring practices and mandatory training on creating a safe work environment to our flexible working hours and generous parental leave, we prioritize the well-being and success of our employees. Our commitment to professional development is evident through our mentorship programs, job training initiatives, and support for professional certifications. Additionally, our company-sponsored outings and various time-off benefits ensure a healthy work-life balance. Join us at Kanerika and become part of a vibrant and diverse community where your talents are recognized, your growth is nurtured, and your contributions make a real impact. See the benefits section below for the perks you’ll get while working for Kanerika.

Locations

We are located in Austin (USA), Singapore, Hyderabad, Indore and Ahmedabad (India).

Job Location: Hyderabad, Indore and Ahmedabad (India)

What You Will Do:

Following are high level responsibilities that you will play but not limited to:

· Develop and maintain data pipelines using Azure Data Factory (ADF) /Databricks for data integration and ETL processes.

· Design, implement, and optimize Power BI /Fabric reports and dashboards to deliver actionable business insights.

· Collaborate with data analysts, business users, and other teams to understand data requirements and deliver solutions using ADF and Power BI.

· Extract, transform, and load (ETL) data from various sources into cloud-based storage systems such as Azure Data Lake or Azure SQL Database.

· Work with large datasets and optimize queries and pipelines for performance and scalability.

· Ensure data quality, integrity, and availability throughout the data lifecycle.

· Automate repetitive data tasks, ensuring timely and accurate reporting.

· Monitor and troubleshoot data pipelines, addressing any performance or data issues promptly.

· Support data visualization and reporting tools, including Power BI, to enable business stakeholders to make data-driven decisions.

· Write clear, efficient, and maintainable code for data transformations and automation.

Required Qualifications:

· Bachelor's degree in computer science, Information Technology, Engineering, or a related field.

· 8+ years of hands-on experience in Data Engineering, BI Developer or a similar role.

· Proficiency with Azure Data Factory (ADF), including the creation of data pipelines and managing data flows.

· Strong experience in Power BI, including report creation, dashboard development, and data modeling.

· Experience with SQL and database management (e.g., Azure SQL Database, SQL Server).

· Knowledge of cloud platforms, especially Microsoft Azure.

· Familiarity with data warehousing concepts and ETL processes.

· Experience working with cloud-based data storage solutions (e.g., Azure Data Lake, Azure Blob Storage).

· Strong programming skills in languages such as Python, SQL, or other relevant languages.

· Ability to troubleshoot and optimize data pipelines for performance and reliability.

Preferred Qualifications:

· Familiarity with data modeling techniques and practices for Power BI.

· Knowledge of Azure Databricks or other data processing frameworks.

· Knowledge of Microsoft Fabric or other Cloud Platforms.

What we need?

· B. Tech computer science or equivalent.

· Work with a passionate and innovative team in a fast-paced, growth-oriented environment.

· Gain hands-on experience in content marketing with exposure to real-world projects.

· Opportunity to learn from experienced professionals and enhance your marketing skills.

· Contribute to exciting initiatives and make an impact from day one.

· Competitive stipend and potential for growth within the company.

· Recognized for excellence in data and AI solutions with industry awards and accolades.

Employee Benefits

1. Culture:

i. Open Door Policy: Encourages open communication and accessibility to management.

ii. Open Office Floor Plan: Fosters a collaborative and interactive work environment.

iii. Flexible Working Hours: Allows employees to have flexibility in their work schedules.

v. Appraisal Process Twice a Year: Provides regular performance evaluations and feedback.

2. Inclusivity and Diversity:

a. Hiring practices that promote diversity: Ensures a diverse and inclusive workforce.

b. Mandatory POSH training: Promotes a safe and respectful work environment.

3. Health Insurance and Wellness Benefits:

a. GMC and Term Insurance: Offers medical coverage and financial protection.

b. Health Insurance: Provides coverage for medical expenses.

c. Disability Insurance: Offers financial support in case of disability.

4. Child Care & Parental Leave Benefits:

a. Company-sponsored family events: Creates opportunities for employees and their families to bond.

b. Generous Parental Leave: Allows parents to take time off after the birth or adoption of a child.

c. Family Medical Leave: Offers leave for employees to take care of family members' medical needs.

5. Perks and Time-Off Benefits:

a. Company-sponsored outings: Organizes recreational activities for employees.

b. Gratuity: Provides a monetary benefit as a token of appreciation.

c. Provident Fund: Helps employees save for retirement.

d. Generous PTO: Offers more than the industry standard for paid time off.

e. Paid sick days: Allows employees to take paid time off when they are unwell.

f. Paid holidays: Gives employees paid time off for designated holidays.

g. Bereavement Leave: Provides time off for employees to grieve the loss of a loved one.

6. Professional Development Benefits:

a. L&D with FLEX- Enterprise Learning Repository: Provides access to a learning repository for professional development.

b. Mentorship Program: Offers guidance and support from experienced professionals.

c. Job Training: Provides training to enhance job-related skills.

d. Professional Certification Reimbursements: Assists employees in obtaining professional certifications.

e. Promote from Within: Encourages internal growth and advancement opportunities

Seniority level
  • Seniority level
    Mid-Senior level
Employment type
  • Employment type
    Full-time
Job function
  • Job function
    Information Technology
  • Industries
    IT Services and IT Consulting

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